Senior Software Engineer (App-Framework)
Databricks1 month ago
Bengaluru, IndiaSenior
Responsibilities
- Design, implement, and maintain core system infrastructure and low-level software components.
- Optimize system performance, reliability, and scalability through analysis and technical solutions.
- Work with JVM internals, garbage collection, JIT compilation, class loading, memory management, concurrency, and distributed systems.
- Collaborate with senior engineers and architects on technical strategies, roadmaps, designs, and architectural decisions.
- Mentor junior engineers and contribute to technical excellence.
- Participate in code reviews, design discussions, and troubleshooting of complex system issues.
- Profile and tune high-performance systems and provide effective resolutions to system problems.
Requirements
- 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 the 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.
- Proven experience building and optimizing high-performance, scalable, and reliable systems.
- Experience with distributed systems concepts and technologies.
- Excellent problem-solving, analytical, debugging, communication, and collaboration skills.
- Experience with performance profiling and tuning tools.
- Contributions to open-source projects related to JVM or systems software.
- Experience with RPC frameworks.
Benefits
- Databricks offers comprehensive benefits and perks, with specific details varying by region.
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.