Thursday, 8 January 2026

Senior IT Business Analyst | Allegion | Carmel, IN

 Senior IT Business Analyst | Allegion | Carmel, IN


Senior IT Business Analyst


locations

Carmel, IN

time type

Full time

job requisition id

JR34817

Creating Peace of Mind by Pioneering Safety and Security

At Allegion, we help keep the people you know and love safe and secure where they live, work and visit. With more than 30 brands, 12,000+ employees globally and products sold in 130 countries, we specialize in security around the doorway and beyond. Additionally, in 2024 we were awarded the Gallup Exceptional Workplace Award, which recognizes the most engaged workplace cultures in the world. 


This position is responsible for the overall success of a high-profile IT product team by identifying and delivering on innovative solutions to complex business problems within Allegion’s Americas Region. Primarily the Business Analyst will be responsible for the design, development, execution, and advisement of technical and process solutions. Because of the close interaction with business customers and supporting IT teams, the Business Analyst will require a deep understanding of requirements analysis and testing support. The Business Analyst acts as the interface between product owners/business units and technology teams. This position will also lead Scrum ceremonies.


What You Will Do:


Be an expert in team applications and be able to teach and demo all functionality

Work with team lead, product owner and stakeholders to identify, understand, and capture requirements; consolidate input from business and technical stakeholders

Collaborate with other IT teams on the best technical solutions for cross-team initiatives

Record technical requirements in the backlog and clearly explain to development team; be the bridge between development team and business

Lead Scrum ceremonies and facilitate Agile Methodologies

Work with product owner and team lead to prioritize the backlog and prepare for upcoming sprints

Work closely with quality engineer to test features and ensure functionality and accuracy

Remove impediments/ guide the team to remove impediments by finding the right personnel to help with the situation

Facilitate discussion, decision making, and conflict resolution

Assist with internal and external communication, improving transparency, and radiating information

Provide support to users by trouble-shooting and working with development team to resolve issues

Manage support tickets and coordinate issue resolution, including potentially off-hours production support

Manage release activities and required documentation and approvals; coordinate and execute code releases to production outside business hours

Create application documentation and reporting as requested

Conduct risk assessment of strategic, technical, finance, or business factors impacting the project.  Formulate and take corrective actions to mitigate deviations to the project plans and alert management of potential problems when appropriate

Collaborate on SOX requirements and provide documentation when requested

Potential to use SQL DB to pull data and reporting metrics; maintain reports in Power BI

Other duties as assigned

What You Need to Succeed:


Bachelor’s degree required (computer Science or Information Technology related discipline preferred) or the equivalent years of relevant experience

5-7+ years as a business analyst preferred

2+ years experience in Agile software development preferred

Experience working with business units or other IT teams to gather requirements and translate them to a development team

Scrum Master experienced highly preferred

At Allegion, we are driven by a bold vision: redefining safety while empowering our employees to thrive. When you join our team, you become part of a culture that values innovation, purpose, and excellence. This role offers the benefits of our dynamic hybrid work model—combining in-person collaboration for meaningful moments with the flexibility of remote work. Since hybrid arrangements can vary based on the needs of the individual, team and business, your talent acquisition partner will provide specific hybrid details about this role.


We are committed to fostering a healthy work-life balance and building meaningful connections, ensuring you have the tools, resources, and support needed to excel in any environment. Together, we’ll unlock your potential and create a lasting impact.


While this is the current structure and we currently have no plans to change, we reserve the right to make changes to the hybrid schedule as needed at the Company’s discretion.


Allegion is a Great Place to Grow your Career if: 


You're seeking a rewarding opportunity that allows you to truly help others.  With thousands of employees and customers around the world, there’s plenty of room to make an impact. As our values state, “this is your business, run with it”.


You’re looking for a company that will invest in your professional development.  As we grow, we want you to grow with us. 


You want a culture that promotes work-life balance.  Our employees enjoy generous paid time off, because at Allegion we recognize that you have a full life outside of work!


What You’ll Get from Us:


Health, dental and vision insurance coverage, helping you “be safe, be healthy”  


Unlimited Paid Time Off


A commitment to your future with a 401K plan, which currently offers a 6% company match and no vesting period 


Health Savings Accounts – Tax-advantaged savings account used for healthcare expenses


Flexible Spending Accounts – Tax-advantaged spending accounts for healthcare and/or dependent daycare expenses


Disability Insurance –Short-Term and Long-Term coverage, paid for by Allegion, provides income replacement for illness or injury


Life Insurance – Term life coverage with the option to purchase supplemental coverage


Tuition Reimbursement  


Voluntary Wellness Program – Simply complete wellness activities and earn up to $2,000 in rewards


Employee Discounts through Perks at Work 


Community involvement and opportunities to give back so you can “serve others, not yourself” 


Opportunities to leverage your unique strengths through CliftonStrengths assessment & coaching 


Apply Today!


Join our team of experts today and help us make tomorrow’s world a safer place!


Qualified candidates must be legally authorized to be employed in the United States. The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position.


Not sure if your experience perfectly aligns with the role? Studies have shown that some people are less likely to apply to jobs unless they meet every single qualification and every single preferred qualification of a job posting. At Allegion, we are dedicated to building a diverse, inclusive, and authentic workplace. So, if you’re excited about this role but your past experience doesn’t align perfectly with every item in the job description, we encourage you to apply anyway. You may be just the right candidate for this role.


https://allegion.wd5.myworkdayjobs.com/en-US/careers/job/Carmel-IN/Senior-IT-Business-Analyst_JR34817-1?jobFamilyGroup=94e33d79ccff1077c614401bbd8b7350

Wednesday, 7 January 2026

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