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- Networking | Databricks | Bengaluru, India

 Staff Software Engineer- Networking | Databricks | Bengaluru, India

Staff Software Engineer- Networking

Bengaluru, India

P-1347

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. 

Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. And we're setting up the team from scratch in Bengaluru , India.

We are seeking an experienced Staff Software Engineers with a networking background to join the Networking Infrastructure team. As one of the seed members of the Bangalore site, you will be focussing on building new backend connectivity services that powers millions of VMs running on Databricks. You will also be leading the design and development of new services that powers the connectivity between our control plane and compute plane. This new platform enables Databricks to increase scalability of our compute plane while also efficiently use cloud resources. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multi-cloud and distributed systems challenges.

What we look for:

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

7+ years of experience developing large-scale distributed systems from scratch

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

Extensive experience working in the Networking domain

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--networking-7648669002

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 - 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 - 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 - 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