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P-1492
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 in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.
The Role :We are seeking a highly skilled and experienced Staff Software Engineer with a deep understanding of low-level systems to join our team. In this role, you will be instrumental in designing, developing, and optimizing application frameworks that form the building blocks for all software development at Databricks. This is not a full-stack role; your expertise will be focused on the intricate details of system internals, performance, and efficiency.
What we look for :- Design, implement, and maintain core system infrastructure and low-level software components.
- Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions.
- Work with JVM internals, memory management, concurrency, and distributed systems.
- Collaborate with other senior engineers and architects to define technical strategies and roadmaps.
- Mentor junior engineers and contribute to a culture of technical excellence.
- Participate in code reviews, design discussions, and architectural decision-making.
- Troubleshoot complex system issues and provide effective resolutions.
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- 12+ years of professional experience in software development.
- Deep understanding of Java Virtual Machine (JVM) internals, including garbage collection, JIT compilation, class loading, and memory model.
- Proficiency in at least one JVM language and extensive experience with its runtime environment.
- Strong programming skills in Scala/Java/Rust or other systems-level languages.
- Extensive experience with operating system concepts; including processes, threads, concurrency, scheduling, and I/O.
- Proven track record of building and optimizing high-performance, scalable, and reliable systems.
- Experience with distributed systems concepts and technologies.
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and collaboration abilities
- Experience with performance profiling and tuning tools.
- Contributions to open-source projects related to JVM or systems software.
- Experience with RPC frameworks.
If you are a systems-level expert with a passion for optimizing the core of technology and possess a deep understanding of JVM internals, we encourage you to apply and help us build the future.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
- 12+ years of professional experience in software development
- Deep understanding of JVM internals, including garbage collection, JIT compilation, class loading, and memory model
- Proficiency in at least one JVM language and extensive experience with its runtime environment
- Strong programming skills in Scala, Java, Rust, or another systems-level language
- Extensive experience with operating system concepts, including processes, threads, concurrency, scheduling, and I/O
- Track record of building and optimizing high-performance, scalable, and reliable systems
- Experience with distributed systems concepts and technologies
- Excellent problem-solving, analytical, and debugging skills
- Strong communication and collaboration abilities
- Experience with performance profiling and tuning tools
- Contributions to open-source projects related to JVM or systems software
- Experience with RPC frameworks
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, vision, and mental-health support with EAP and wellness stipends. Feedback suggests these offerings are a core strength across locations, though specifics may vary by region.
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Equity Value & Accessibility — Equity and annual bonuses are highlighted as competitive and a major draw, aligning employee success with company growth. Feedback suggests stock options are seen as lucrative, particularly for certain roles and incumbents.
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Leave & Time Off Breadth — Flexible/unlimited PTO and robust paid parental leave are called out as notable components of the package. Feedback suggests these policies support flexibility alongside performance expectations.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
