Elastic5 days ago
Senior Software Engineer - Performance Tuning - Elasticsearch
RUB 11,092–17,550per month · before tax
MARKET
11,092 ₽median for this role
QA Performance / Load · 11 jobs with disclosed pay
5,583half of the offers: 7,716–46,221369,400
At market · above 55% of offers
United States
Responsibilities
- 01Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations
- 02Executing technical designs and plans for architectural and code-level performance improvements
- 03Implementing foundational performance models and methodologies for complex, distributed systems
- 04Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments
- 05Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL
- 06Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures
- 07Collaborating with peers across the team to apply performance-focused development practices into new features
- 08Contributing to automation efforts by building AI-assisted optimization harnesses that streamline profiling, hypothesis testing, and benchmarking
- 09Providing technical guidance and peer reviews to other engineers, fostering a culture of technical excellence
Requirements
- 01Deep knowledge of Java internals and JVM memory management
- 02Understanding how concurrency models work
- 03Ability to write code that is high-performance, thread-safe, and lock-free
- 04Experience working with large open-source and enterprise codebases
- 05Proven experience in profiling and optimizing distributed systems
- 06Deep experience with benchmarking tools (e.g., JMH, Rally), identifying performance regressions, and implementing algorithmic or hardware-aware optimizations
- 07Solid comprehension of distributed systems architecture, including partition tolerance, cluster state propagation, and scaling challenges in large-scale data stores
- 08Proven track record of using AI or advanced tooling to accelerate optimization, debug complex performance issues, and automate benchmarking workflows
- 09Ability to collaborate effectively within a team environment, contributing to the success of performance engineering goals
- 10Ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
- 11Ability to work autonomously, drive decisions, and result in a distributed team by leveraging asynchronous, direct, and transparent communication
What we offer
- 01Compensation in the form of base salary without variable compensation component
- 02Participation in Elastic's stock program
- 03Company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings
- 04Range of other benefits offered with a holistic emphasis on employee well-being
- 05Distributed company environment
- 06Opportunity to balance great work with great life