
Senior Software Engineer (App-Framework)
Databricks · Posted Oct 3
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
Databricks builds and runs a data and AI infrastructure platform used by more than 20,000 organizations worldwide, spanning products such as Lakebase, Lakeflow, Lakehouse, and Unity Catalog. The App-Framework team owns the application frameworks that form the building blocks for all software development at Databricks, with a focus on low-level system internals, performance, and efficiency. This role designs, develops, and optimizes core system infrastructure using JVM internals, concurrency, and distributed systems, and mentors other engineers on the team.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- 7+ 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
Recent coverage
Databricks Newsroom
Databricks Closes $5 Billion Strategic Funding at $190 Billion Valuation2026-08-13
Databricks Newsroom
Databricks Announces Strategic Funding at a $188 Billion Valuation2026-07-16
Databricks Newsroom
Databricks Accelerates Investments in Agent Bricks, Lakebase and Databricks Apps2025-12-16