Note: The job is a remote job and is open to candidates in USA. Elastic is a search AI company that provides cloud-based solutions for search, security, and observability. The company is seeking a Senior Software Engineer to join the Elasticsearch Performance team and improve Elasticsearch performance through engineering initiatives, technical analysis, optimization, profiling, benchmarking, and collaboration across teams.
Responsibilities
- Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements
- Implementing foundational performance models and methodologies for complex, distributed systems
- Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments
- Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL
- Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures
- Collaborating with peers across the team to apply performance-focused development practices into new features
- Contributing to automation efforts by building AI-assisted optimization harnesses that streamline profiling, hypothesis testing, and benchmarking
- Providing technical guidance and peer reviews to other engineers, fostering a culture of technical excellence
Skills
- You have deep knowledge of Java internals and JVM memory management
- You understand how concurrency models work
- You can write code that is high-performance, thread-safe, and lock-free
- This experience includes working with large open-source and enterprise codebases
- You have proven experience in profiling and optimizing distributed systems
- This includes deep experience with benchmarking tools (e.g., JMH, Rally), identifying performance regressions, and implementing algorithmic or hardware-aware optimizations
- You have a solid comprehension of distributed systems architecture, including partition tolerance, cluster state propagation, and scaling challenges in large-scale data stores
- You have a proven track record of using AI or advanced tooling to accelerate optimization, debug complex performance issues, and automate benchmarking workflows
- You possess the ability to collaborate effectively within a team environment, contributing to the success of performance engineering goals
- You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
- You can work autonomously, drive decisions, and result in a distributed team by leveraging asynchronous, direct, and transparent communication
- Experience integrating high-performance native libraries (e.g., C++, Rust, SIMD-accelerated code) into Java applications
- Deep knowledge of modern storage engine performance, index modes, or vector search optimizations
- Experience defining and managing Performance SLAs and success criteria for distributed systems
- Experience working on the internals of a large-scale data store or search engine
- Experience working on the internals of a data store or search engine
Benefits
- This role is currently eligible to participate in Elastic's stock program.
- A company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings.
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Minimum of 16 weeks of parental leave
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