Role at a glance
- Salary
- Not Disclosed
- Location
- Bengaluru, India
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 7+ years of professional experience in software development.
- Education
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
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Role Summary
Databricks is seeking a Senior Software Engineer to join its team developing application frameworks that serve as building blocks for software development. The role focuses on low-level systems, system internals, performance, and efficiency within Databricks' data and AI infrastructure platform.
What You'll Do
- Design, implement, and maintain core system infrastructure and low-level software components.
- Optimize system performance, reliability, and scalability through analysis and innovative solutions.
- Work with JVM internals, memory management, concurrency, and distributed systems.
- Collaborate with senior engineers and architects to define technical strategies and roadmaps.
- Mentor junior engineers and contribute to technical excellence.
- Troubleshoot complex system issues and provide effective resolutions.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field; 7+ years of professional software development experience; deep understanding of JVM internals, including garbage collection, JIT compilation, class loading, and memory model; proficiency in at least one JVM language; strong programming skills in Scala, Java, Rust, or other systems-level languages; experience with operating system concepts, distributed systems, performance profiling and tuning tools, and RPC frameworks; experience building and optimizing high-performance, scalable, and reliable systems; excellent problem-solving, analytical, debugging, communication, and collaboration skills.
Required
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-926
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.
The Role :
We are seeking a highly skilled and experienced Senior 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. 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.
Qualifications
- 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.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.