Software-Developer .NET (m/w/d) | Allegion | Unterföhring, Germany

 Software-Developer .NET (m/w/d) | Allegion | Unterföhring, Germany

Software-Developer .NET (m/w/d)

locations

Unterföhring, Germany

time type

Full time

job requisition id

JR32901

Gestalte mit uns die Zukunft der Sicherheitstechnik! 

Wir sind Pionier der digitalen Schließtechnik und sorgen mit einem Team von über 550 Mitarbeitern dafür, dass das Leben der Menschen sicherer und komfortabler wird. Denn wir öffnen nicht nur Türen, sondern auch Wege zu geschützteren und intelligenteren Lebensräumen. Dies erreichen wir durch kontinuierliche Innovation, Teamgeist und eine tief verwurzelte Leidenschaft für die Branche.

Du brennst dafür, innovative Softwarelösungen zu entwickeln, die wirklich etwas bewirken? Du fühlst dich wohl in einem Umfeld, in dem Zusammenarbeit, Kreativität und modernste Technologien zusammenkommen? Bei SimonsVoss definieren wir Sicherheitstechnologie neu – für eine intelligentere, sicherere Welt.

Werde Teil unserer Reise!

DARAUF HAST DU LUST

Innovation & Entwicklung: Du wirkst an der Entwicklung und Wartung von Cloud- und On-Premises-Softwarelösungen mit, hauptsächlich auf Basis des .NET-Frameworks.

Zusammenarbeit: Du arbeitest eng mit Teammitgliedern und externen Partnern zusammen, um sicherzustellen, dass die Projektanforderungen mit unseren Unternehmensrichtlinien übereinstimmen und skalierbare, hochwertige Lösungen entstehen.

Exzellentes Coden: Du beteiligst dich an Code-Reviews, achtest auf Best Practices, Coding-Standards und sorgst für wartbare Lösungen, die langfristig bestehen.

Herausforderungen lösen: Du erkennst und adressierst technische Hürden und löst Entwicklungsprobleme proaktiv, damit Projekte auf Kurs bleiben.

Architektur & Optimierung: Du setzt Softwarekomponenten nach architektonischen Vorgaben um und verbesserst diese, um Stabilität und Skalierbarkeit sicherzustellen.

Agiles Mindset: Du bringst dich aktiv in agile Entwicklungsprozesse (z. B. Scrum oder Kanban) ein, beteiligst dich an Sprints, Planungssitzungen und Retrospektiven.

DAS BRINGST DU MIT

Ein abgeschlossenes Studium der Informatik, Softwareengineering oder einem verwandten Bereich – oder vergleichbare praktische Erfahrung.

Fundierte Erfahrung in der Softwareentwicklung mit Schwerpunkt auf dem .NET-Ökosystem (z. B. C#, ASP.NET Core, Entity Framework).

Kenntnisse von Cloud-Technologien (insbesondere Azure) sowie Verständnis für die Entwicklung von Software für Cloud-Umgebungen.

Kenntnisse in Software-Design-Prinzipien wie SOLID und Clean Code sowie die Bereitschaft, wartbaren und skalierbaren Code zu schreiben.

Erfahrung in der Arbeit mit agilen Teams und agilen Methoden wie Scrum oder Kanban.

Grundkenntnisse im Umgang mit Container-Technologien wie Docker und Verständnis für DevOps von Vorteil.

Ausgeprägte Problemlösungskompetenz und eine proaktive Einstellung zum Lernen und zur Weiterentwicklung technischer Fähigkeiten.

Gute Kommunikationsfähigkeiten und die Bereitschaft, mit Teammitgliedern und Stakeholdern zusammenzuarbeiten.

Bonus: Erfahrung mit Kubernetes, CI/CD-Pipelines und Hybrid-Cloud-Lösungen.

Sehr gute Englischkenntnisse (Arbeitssprache).

DAS BIETEN WIR DIR

Work-Life-Balance // Flexibles Arbeitszeitmodell inkl. Überstundenausgleich, Möglichkeit zu Remote Work, 30 Tage Urlaub ohne Sperrfrist in der Probezeit.

Wachstum & Entwicklung // Strukturiertes und inspirierendes Onboarding, praxisnahe Schulungen, Zugang zu Busuu, Allegion Academy & LinkedIn Learning, Mentoring für Entwicklung und Karrierewege.

Nachhaltige Mobilität // Günstiges Leasing von Jobrädern und E-Bikes.

Gesundheit // 30 € brutto Fitnesszuschuss pro Monat, Mitarbeiterunterstützungsprogramm für alle Lebenslagen, kostenlose Getränke & frisches Obst.

Family & mehr // Bis zu 250 € brutto Kinderbetreuungszuschuss pro Monat, Firmenrenten-Zuschuss (40 € plus 20 % des Umwandlungsbetrags), exklusive Mitarbeiterrabatte.

Kultur // Inspirierender Spirit, flache Hierarchien, buntes Team aus 17 Nationen, großer Zusammenhalt & Hilfsbereitschaft, viele tolle Events.

https://allegion.wd5.myworkdayjobs.com/en-US/careers/job/Unterfhring-Germany/Software-Engineer---Net-Developer--m-f-d-_JR32901-4?jobFamilyGroup=49eb6bd7307a10fb593d56874c3228fe

Senior Firmware Entwickler / Embedded Software Engineer (m/w/d) | Allegion | Unterföhring, Germany

 Senior Firmware Entwickler / Embedded Software Engineer (m/w/d) | Allegion | Unterföhring, Germany

Senior Firmware Entwickler / Embedded Software Engineer (m/w/d)

locations

Unterföhring, Germany

time type

Full time

job requisition id

JR34509

Gestalte mit uns die Zukunft der Sicherheitstechnik! 

Wir sind Pionier der digitalen Schließtechnik und sorgen mit einem Team von über 550 Mitarbeitern dafür, dass das Leben der Menschen sicherer und komfortabler wird. Denn wir öffnen nicht nur Türen, sondern auch Wege zu geschützteren und intelligenteren Lebensräumen. Dies erreichen wir durch kontinuierliche Innovation, Teamgeist und eine tief verwurzelte Leidenschaft für die Branche.

Als Senior Firmware-Entwickler übernimmst du Verantwortung für die Firmware unserer elektronischen Steuerplatinen in batteriebetriebenen Schließsystemen und arbeitest in einem interdisziplinären Team an Lösungen, die höchste Zuverlässigkeit, Security und Energieeffizienz gewährleisten.

Klingt spannend? Dann werde Teil unserer Reise

DARAUF HAST DU LUST

Entwicklung und Wartung von Embedded-Firmware in C/C++ für Mikrocontroller (z. B. ARM Cortex‑M) auf Bare‑Metal‑ und RTOS‑Ebene (vorzugsweise Zephyr)

Entwicklung und Integration moderner Kommunikationsprotokolle (BLE)

Umsetzung von Cybersecurity‑Maßnahmen für Embedded Systeme (z. B. Secure Boot, Verschlüsselung, sichere OTA‑Update‑Mechanismen)

Aufbau und Pflege von CI/CD‑Pipelines für Embedded‑Projekte (Tooling, Build‑Automatisierung, Testautomation)

Zusammenarbeit in agilen, interdisziplinären Projektteams (Hardware, Systemarchitektur, QA, Produktmanagement)

Teilnahme an Architektur‑ und Design‑Reviews, Troubleshooting und Fehleranalyse auf System‑ und Integrationsebene

Erstellung von technischer Dokumentation, Spezifikationen und sicherheitsrelevanten Nachweisen

DAS BRINGST DU MIT

Mindestens 5 Jahre Berufserfahrung in einer vergleichbaren Position in der Embedded‑Entwicklung

Fundierte Programmierkenntnisse in C und C++ für Mikrocontroller (ARM Cortex‑M oder vergleichbar)

Erfahrung mit Bare‑Metal‑Firmwareentwicklung und vertraut mit RTOS-Konzepten; idealerweise Praxis mit Zephyr.

Konnektivität: BLE und WLAN inkl. Protokolle, Stacks und Profilintegration.

Entwicklungs-, Build- und Testkompetenz: CI/CD in Embedded-Umgebungen (Buildserver, Firmware-Signing, automatisierte Tests) sowie sicherer Umgang mit Debug-Tools (JTAG/SWD, Trace, Log-Analyse) und Mess-/Testequipment.

Embedded Security: Secure Boot, Verschlüsselungsverfahren, Schlüsselspeicherung, sichere OTA‑Mechanismen

Agiles Arbeiten und nachweisbare Erfahrung in interdisziplinären Teams

Gute Deutschkenntnisse; Englischkenntnisse für technische Dokumentation und Kommunikation

DAS BIETEN WIR DIR

Perspektive & Verantwortung // Verantwortung in einem sicherheitsrelevanten, hochinnovativen Produktumfeld, Mitarbeit in einem erfahrenen, interdisziplinären Team, moderne Entwicklungswerkzeuge und professionelle Testinfrastruktur.

Wachstum & Entwicklung // Weiterbildung- & Beratungsangebote, strukturiertes und inspirierendes Onboarding, praxisnahe Schulungen, Zugang zu Sprachkursen, Allegion Academy & LinkedIn Learning, Mentoring für Entwicklung und Karrierewege.

Work-Life-Balance // Flexibles Arbeitszeitmodell inkl. Überstundenausgleich, Möglichkeit zu Remote Work (1 Tag/ Woche), 30 Tage Urlaub ohne Sperrfrist in der Probezeit.

Family & mehr // Bis zu 250 € brutto Kinderbetreuungszuschuss pro Monat, Firmenrenten-Zuschuss (40 € plus 20 % des Umwandlungsbetrags), exklusive Mitarbeiterrabatte.

Kultur // Mitreißender Spirit, flache Organisationsstrukturen, ein buntes Team aus 15 Nationen, große Hilfsbereitschaft & Zusammenhalt, viele tolle Events

Gesundheit // kostengünstiges Leasing von Jobrad und E-Bikes, 30€ brutto Fitnesszuschuss im Monat, Mitarbeiterhilfsprogramm zu allen Lebensfragen, freie Getränke & frisches Obst

https://allegion.wd5.myworkdayjobs.com/en-US/careers/job/Unterfhring-Germany/Senior-Firmware-Entwickler---Embedded-Software-Engineer--m-w-d-_JR34509-4?jobFamilyGroup=49eb6bd7307a10fb593d56874c3228fe

Staff Software Engineer - Data Platform | Databricks | Bengaluru, India

 Staff Software Engineer - Data Platform | Databricks | Bengaluru, India

Staff Software Engineer - Data Platform

Bengaluru, India

P-1348

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform.

We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a Staff Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product.

The impact you will have:

Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance.

Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company.

Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.

Design the base ETL framework used by all pipelines developed at the company.

Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.

Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. Provide early feedback on the design and operations of these products.

Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change.

Represent Databricks at academic and industrial conferences & events.

What we look for:

12+ years of industry experience 

6+ years of experience providing technical leadership on large projects similar to the ones described above - ETL frameworks, metrics stores, infrastructure management, data security.

Experience building, shipping and operating reliable multi-geo data pipelines at scale.

Experience working with and operating workflow or orchestration frameworks, including open source tools like Airflow and DBT or commercial enterprise tools.

Experience with large-scale messaging systems like Kafka or RabbitMQ or commercial systems.

Excellent cross-functional and communication skills, consensus builder.

Passion for data infrastructure and for enabling others by making their data easier to access.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---data-platform-7652016002

Staff Software Engineer - Database Engine Internals | Databricks | San Francisco, California

 Staff Software Engineer - Database Engine Internals | Databricks | San Francisco, California

Staff Software Engineer - Database Engine Internals

San Francisco, California

P-188

Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (CIDR 2021 paper), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.

A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science.

As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:

Query compilation and optimization

Distributed query execution and scheduling

Vectorized execution engine

Data security

Resource management

Transaction coordination

Efficient storage structures (encodings, indexes)

Automatic physical data optimization

What we look for:

A passion for database systems, storage systems, distributed systems, language design, or performance optimization

Experience working towards a multi-year vision with incremental deliverables

Motivated by delivering customer value and impact

8+ years of experience working in a related system (preferred)

Optional: PhD in databases or distributed systems

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$192,000—$260,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---database-engine-internals-5646866002

Staff Software Engineer - Databases | Databricks | Bengaluru, India

 Staff Software Engineer - Databases | Databricks | Bengaluru, India

Staff Software Engineer - Databases

Bengaluru, India

P-375

At Databricks, we build powerful infrastructure that accelerates innovation and enables data teams to deliver with confidence and scale. Our unified schema migration platform underpins automated, observable, and developer-friendly workflows—ensuring Databricks can continue evolving rapidly across thousands of databases and 60+ mission-critical services.

What You’ll Do

As a Staff Software Engineer, you’ll lead the design, development, and reliability of our global platform that manages schema and data changes at scale:

Schema Migration Platform: Architecting and maintaining automated schema change infrastructure for MySQL and TiDB, while implementing versioning, rollback, validation, and auditing for safe, predictable, and fast migrations.

Scale, Reliability & Test Harness: Ensuring the platform operates across thousands of global databases with zero downtime, enhancing resilience, observability, and recovery, and building a test harness for migration and deployment validation.

Developer Experience & CI/CD Integration: Designing intuitive tools and APIs for seamless schema and data change management, and embedding migration workflows into CI/CD pipelines to increase velocity and reduce friction.

Schema & Data management: Designing infrastructure for safe, large-scale schema and data operations like backfills and purging. This includes ensuring backfill operations are monitored, retryable, minimally disruptive, and automated to align with schema/data evolution and maintain data integrity.

Your role will be crucial in:

Ensuring the scalability and reliability of schema and data operations across Databricks’ global footprint.

Driving predictable deployments by architecting robust test harnesses and automation.

Elevating the developer experience by building accessible, resilient tools that make complex migrations feel simple.

Guaranteeing the integrity of both schema and data through safe, efficient backfill strategies.

What we look for:

12+ years of professional experience in backend systems or platform engineering.

Experience in building platforms, infrastructure, or database engineering, especially with MySQL, TiDB.

Track record of building and scaling mission-critical platforms supporting high-throughput, global services.

Experience with schema migration frameworks, CI/CD automation and developer tooling.

Champion of developer experience, creating clear, reliable, and user-friendly workflows.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---databases-7601565002

Staff Software Engineer - Developer Experience | Databricks | Amsterdam, Netherlands

 Staff Software Engineer - Developer Experience | Databricks | Amsterdam, Netherlands

Staff Software Engineer - Developer Experience

Amsterdam, Netherlands

P-1319

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Our Developer Experience team is dedicated to making Databricks engineers happy and highly productive. We build the tools, processes, and infrastructure to accelerate engineering velocity as Databricks scales. The ideal candidate will have a mix of technical expertise in one of language toolchains (Scala, Rust, Python), build systems (especially Bazel), compilers, version control systems, testing but most importantly a passion for solving developer experience problems, and a pragmatic ability to ship results iteratively. 

The impact you'll have:

Build world-class developer infrastructure that directly empowers every Databricks engineer to do their best work, every day. 

Dramatically boost the reliability, speed, and efficiency of our largest builds, creating a blazing-fast dev loop and making Bazel a breeze to use.

Create seamless, out-of-the-box development environments and IDE integrations, allowing engineers to dive into coding and debugging instantly, across all major languages (Scala, Rust, Go, Python, etc)

Lead pivotal cross-functional projects, influence key architectural decisions, and mentor colleagues to cultivate a culture of innovation and operational excellence.

Lead thorough evaluations with external vendors, startups, and internal teams to ensure our technology choices are strategically sound and perfectly aligned with our systems and architecture.

What we look for:

Strong passion for improving developer workflows, productivity and infrastructure.

In-depth understanding of the software development lifecycle and challenges faced by developers operating at scale.

Experience with building and managing internal developer tools, CI/CD systems, or related infrastructure.

Ability to think long-term while delivering incremental, measurable impact. You can balance big-picture strategic thinking with a passion for executing on high-priority initiatives.

Coding chops, clean, elegant, bug-free code in languages like Scala, Rust, Java, Python, Go

Minimum of 5 years of experience in fast paced software engineering organisations. 

BS (or higher) in Computer Science, or a related field.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---developer-experience-8029676002

Staff Software Engineer - Distributed Data Systems | Databricks | San Francisco, California

 Staff Software Engineer - Distributed Data Systems | Databricks | San Francisco, California

Staff Software Engineer - Distributed Data Systems

San Francisco, California

P-186

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.

We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.

Below are some example projects:

Apache Spark™: Develop the de facto open source standard framework for big data.

Data Plane Storage: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.

Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture.

Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines.

Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust.

What we look for:

BS in Computer Science, related technical field or equivalent practical experience.

Optional: MS or PhD in databases, distributed systems.

Comfortable working towards a multi-year vision with incremental deliverables.

Driven by delivering customer value and impact.

8+ years of production level experience in either Java, Scala or C++.

Strong foundation in algorithms and data structures and their real-world use cases.

Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop).

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$192,000—$260,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---distributed-data-systems-5646855002

Staff Software Engineer - Fullstack | Databricks | Vancouver, Canada

  Staff Software Engineer - Fullstack | Databricks | Vancouver, Canada

Staff Software Engineer - Fullstack

Vancouver, Canada

Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.

Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.  

We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:

Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.

AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack. 

Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.

Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.

What we look for:

10+ years of experience with HTML, CSS, and JavaScript.

Passion for user experience and design and a deep understanding of front-end architecture.

Comfortable working towards a multi-year vision with incremental deliverables.

Motivated by delivering customer value.

Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).

10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).

Good knowledge of SQL.

Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.

Experience developing large-scale distributed systems.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. 

Canada Pay Range

$170,000—$227,000 CAD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---fullstack-8099343002

Staff Software Engineer - GenAI inference | Databricks | San Francisco, California

 Staff Software Engineer - GenAI inference | Databricks | San Francisco, California

Staff Software Engineer - GenAI inference

San Francisco, California

P-1285

About This Role

As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API.. You’ll bridge research advances and production demands, ensuring high throughput, low latency, and robust scaling. Your work will encompass the full GenAI inference stack: kernels, runtimes, orchestration, memory, and integration with frameworks and orchestration systems.

What You Will Do

Own and drive the architecture, design, and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference

Partner closely with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine

Lead the end-to-end optimization for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators

Define and guide standards to build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations

Architect scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads

Ensure reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning

Collaborate cross-functionally on Integrating with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead

Drive cross-team collaboration: with platform engineers, cloud infrastructure, and security/compliance teams

Represent the team externally through benchmarks, whitepapers, and open-source contributions

What We Look For

BS/MS/PhD in Computer Science, or a related field

Strong software engineering background (6+ years or equivalent) in performance-critical systems

Proven track record of owning complex system components and driving architectural decisions end-to-end

Deep understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc.

Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.)

Strong background in distributed systems design, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning

Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler)

Experience building instrumentation, tracing, and profiling tools for ML models

Ability to lead through influence - work closely with ML researchers, translate novel model ideas into production systems

Excellent communication and leadership skills, with a proactive and ownership-driven mindset

Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$190,900—$232,800 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---genai-inference-8202698002

Staff Software Engineer - IAM | Databricks | Bellevue, Washington

 Staff Software Engineer - IAM | Databricks | Bellevue, Washington

Staff Software Engineer - IAM

Bellevue, Washington

P-1126

Summary

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.

Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has  a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. 

The impact you will have:

Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services

Attract top talent from across the industry.

Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven

Represent Databricks at academic and industry conferences & events

What we look for:

7+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus.

10+ years of experience building large scale distributed systems with high availability

Leadership skills and experience to lead across functional and organizational lines

Strong communication skills to explain and evangelize Data Security to senior leaders across the company

Bias to action and passion for delivering high-quality solutions

MS or Ph.D. in Computer Science or related fields

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$181,300—$261,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/executive-engineering---pipeline/staff-software-engineer---iam-7994790002

Staff Software Engineer - Infrastructure | Databricks | Bengaluru, India

 Staff Software Engineer - Infrastructure | Databricks | Bengaluru, India

Staff Software Engineer - Infrastructure

Bengaluru, India

P-1346

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India  - and currently in the process of setting up 10 new teams from scratch ! 

As a Staff Software Engineer at Databricks India, you can get to work across  : 

- Backend (Infrastructure)

The impact you'll have: 

 Our Infrastructure Backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.

Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.

Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.

What we look for:

BS (or higher) in Computer Science, or a related field

12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language

6+ years experience developing large-scale distributed systems from scratch

Experience working on a SaaS platform or with Service-Oriented Architectures

Experience working on Infrastructure related projects is a plus

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---infrastructure-7648674002

Staff Software Engineer - Ingestion | Databricks | Bengaluru, India

 Staff Software Engineer - Ingestion | Databricks | Bengaluru, India

Staff Software Engineer - Ingestion

Bengaluru, India

P-375

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.

In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.

We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company.

The Impact you will have:

Solve real business needs at large scale by applying your software engineering.

Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers

Low level systems debugging, performance measurement & optimization on large production clusters.

Build architecture design, influence product roadmap, and take ownership and responsibility over new projects

Use your deep experience to help prevent and investigate production issues.

Plan and lead complicated technical projects that work with several teams within the company.

A strong influencer or driver in the organization’s roadmap and direction.

Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.

Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).

Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

15+ years industry experience building and supporting large-scale distributed systems.

Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc).

Comfortable working towards a multi-year vision with incremental deliverables.

Motivated by delivering customer value and impact.

Strong foundation in algorithms and data structures and their real-world use cases.

Experience driving company initiatives towards customer satisfaction.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---ingestion-8200692002

Staff Software Engineer - Money Team | Databricks | Bellevue, Washington

 Staff Software Engineer - Money Team | Databricks | Bellevue, Washington

Staff Software Engineer - Money Team

Bellevue, Washington

Staff Software Engineer - Money Team

P-940

At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.

The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP & Azure).

As a software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market.  By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem.

The impact you will have:

Design and manage the Money systems and services, commercializing all Databricks products and offerings.

Develop innovative primitives that enable  and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.

Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.

Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans.

Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers.

You will become an expert at using the Databricks Data + AI tools

Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.

Represent Databricks at academic and industrial conferences & events.

What we look for:

BS or higher degree in Computer Science or a related field.

Technical leadership experience in large projects similar to those described, including near real-time large data processing and distributed service infrastructure management.

Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale.

Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.

A proactive approach and a passion for delivering high-quality solutions

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$182,400—$247,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---money-team-7111068002

Staff Software Engineer - Money, Infrastructure | Databricks | Bengaluru, India

 Staff Software Engineer - Money, Infrastructure | Databricks | Bengaluru, India

Staff Software Engineer - Money, Infrastructure

Bengaluru, India

P-1346

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India  - and currently in the process of setting up 10 new teams from scratch ! 

The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialisation strategies, timely & accurate billing,  cost optimisation tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent experience set of platforms for all Databricks products to reach customers.

As one of the first engineers for Money at Databricks India, you will be key to building a base for one of Databricks’ most central engineering teams. You will own critical components that form the backbone of our products, starting with Databricks’ resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialisation motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers.

The impact you will have:

Own Money systems and services that govern usage of all Databricks products and offerings.

Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.

Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.

Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.

Represent Databricks at academic and industrial conferences & events.

What we look for:

BS/MS/PhD in Computer Science, or a related field

12+ years of production level experience in one of: Java, Scala, C++, or similar language.

Comfortable working towards a multi-year vision with incremental deliverables.

Proven track record in architecting, developing, deploying, and operating large scale distributed systems.

Experience with software security and systems that handle sensitive data.

Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.

A proactive approach and a passion for delivering high-quality solutions

Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---money-infrastructure-7654349002

Staff Software Engineer - Security Infrastructure | Databricks | Bellevue, Washington

 Staff Software Engineer - Security Infrastructure | Databricks | Bellevue, Washington

Staff Software Engineer - Security Infrastructure

Bellevue, Washington

P-1124

Summary

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.

Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has  a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. 

The impact you will have:

Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services

Attract top talent from across the industry.

Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven

Represent Databricks at academic and industry conferences & events

What we look for:

7+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection and Response. Experience building systems at large scale internet companies is a huge plus.

10+ years of experience building large scale distributed systems with high availability

Leadership skills and experience to lead across functional and organizational lines

Strong communication skills to explain and evangelize Data Security to senior leaders across the company

Bias to action and passion for delivering high-quality solutions

MS or Ph.D. in Computer Science or related fields

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$181,300—$261,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/executive-engineering---pipeline/staff-software-engineer---security-infrastructure-7994759002

Staff Software Engineer - Unity Catalog | Databricks | Mountain View, California

 Staff Software Engineer - Unity Catalog | Databricks | Mountain View, California

Staff Software Engineer - Unity Catalog

Mountain View, California

P-186

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. Databricks develops and operates one of the largest scale software platforms; the fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a Staff Software Engineer on the Unity Catalog team, you will play a pivotal role in shaping the only unified, open data governance platform in the industry. Unity Catalog empowers organizations to seamlessly govern both structured and unstructured data—across any format and platform—as well as AI models, files, and dashboards in the cloud. You will partner closely with product management and collaborate with multiple engineering teams across Databricks to define and execute Unity Catalog’s product roadmap, delivering next-generation solutions that our customers rely on to manage and govern their enterprise data at scale.

The Impact You Will Have

Build Industry-Leading Products: Design, develop, and ship capabilities that reinforce Unity Catalog’s position as the market leader in data governance.

Solve Real Customer Challenges: Translate customer needs into innovative features, continually refining solutions to address critical pain points in enterprise data management.

Set the Bar for Engineering Excellence: Establish high standards for code quality, reliability, and performance, ensuring that Unity Catalog remains robust and scalable for the long term.

Drive Clear Decision-Making: Tackle ambiguous problems by bringing clarity and strong technical direction to cross-functional teams.

Lead and Inspire: Provide hands-on technical leadership and mentorship, guiding the team’s success while fostering a collaborative, high-performing engineering culture.

What we look for:

BS in Computer Science, related technical field or equivalent practical experience.

Optional: MS or PhD in databases, distributed systems.

Comfortable working towards a multi-year vision with incremental deliverables.

Driven by delivering customer value and impact.

8+ years of production level experience in either Java, Scala or C++.

Strong foundation in algorithms and data structures and their real-world use cases.

Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop).

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$192,000—$260,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---unity-catalog-7933498002

Staff Software Engineer - User Activation | Databricks | San Francisco, California

 Staff Software Engineer - User Activation | Databricks | San Francisco, California

Staff Software Engineer - User Activation

San Francisco, California

P-925

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Staff Engineer on the User Activation team, you will play a critical role in driving the technical vision, architecture, and execution for horizontal product experiences that accelerate customer adoption and growth. Sitting at the entry point for all Databricks customers, you will help guide a team of ~20 software engineers to create seamless onboarding flows, intuitive workspace experiences, and partner integrations that power Databricks expansion.

The impact you'll have: 

Define and drive the strategy for customer onboarding, workspace experience, account management, and other horizontal product experiences.

Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive product-led growth.

Lead architectural decisions to ensure performance, reliability, and simplicity across core user flows.

Hands-on full-stack software development to create dynamic, user-centric experiences.

Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.

Collaborate cross-functionally with teams developing vertical product experiences (Lakehouse Platform, SQL Warehouse, AI/BI Dashboards) and infrastructure teams to ensure seamless integration and innovation.

 

What we look for:

15+ years of software engineering experience, with a strong track record of technical leadership and impact.  

5+ years of engineering management experience, including managing managers.  

Expertise in Front End or Full Stack development.  

Experience designing and building scalable SaaS platforms, onboarding flows, or customer growth-focused product experiences.  

Expertise in distributed systems, cloud platforms (AWS, Azure, GCP), and modern web application architectures.  

Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company growth objectives.  

Passion for the data intelligence space.

Why Join us?

Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory.

Lead and mentor a talented team of engineers solving challenging, customer-centric problems.

Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company.

If you are passionate about building seamless, scalable experiences that fuel product-led growth, we would love to hear from you!

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$192,000—$260,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---user-activation-7979523002

Staff Software Engineer, Foundational Model Serving | Databricks | San Francisco, California

 Staff Software Engineer, Foundational Model Serving | Databricks | San Francisco, California

Staff Software Engineer, Foundational Model Serving

San Francisco, California

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

Foundation Model Serving is the API Product for hosting and serving frontier AI model inference for open source models like Llama, Qwen, and GPT OSS as well as proprietary models like Claude and OpenAI GPT. For this role, no prior ML or AI experience is necessary. We’re looking for engineers who have owned high scale operational sensitive systems like customer facing APIs, Edge Gateways, ML Inference, or similar services and have an interest in getting deep building LLM APIs and runtimes at scale.

As a Staff Engineer, you’ll play a critical role in shaping both the product experience and core infrastructure. You will design and build systems that enable high-throughput, low-latency inference on GPU workloads with frontier models, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class foundation model API product.

The impact you will have:

Design and implement core systems and APIs that power Databricks Foundation Model Serving, ensuring scalability, reliability, and operational excellence.

Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.

Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for GPU serving workloads.

Contribute directly to key components across the serving infrastructure — from working in systems like vLLM and SGLang to creating token based rate limiters and optimizers — ensuring smooth and efficient operations at scale.

Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.

Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.

Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.

What we look for:

10+ years of experience building and operating large-scale distributed systems.

Experience leading high-scale operationally sensitive backend systems.

A track record of up-leveling teams engineering excellence.

Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.

Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.

Strong communication skills and ability to collaborate across teams in fast-moving environments.

Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.

Passion for mentoring, growing engineers, and fostering technical excellence.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$192,000—$260,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering/staff-software-engineer-foundational-model-serving-8224683002