Senior Software Engineer (App-Framework)
Databricks10 days 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, memory management, concurrency, and distributed systems.
- Collaborate with senior engineers and architects on technical strategies and roadmaps.
- Mentor junior engineers and contribute to technical excellence.
- Participate in code reviews, design discussions, and architectural decision-making.
- Troubleshoot complex system issues and provide effective resolutions.
Requirements
- Bachelor’s or master’s degree in Computer Science, Electrical Engineering, or a related field.
- At least 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 knowledge of operating-system concepts, 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.
- Strong 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.