Elastic5 days ago
Principal Software Engineer - Performance Tuning - Elasticsearch
RUB 369,400–584,300per 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
Above market · above 100% of offers
Poland
Responsibilities
- 01Owning core performance engineering initiatives from architecture to production, focusing on the delivery of high-impact optimizations
- 02Leading the technical design, plan, and execution for major architectural and code-level performance improvements
- 03Developing foundational performance models and methodologies for complex, distributed systems
- 04Driving 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 across the company to embed performance-first thinking into new features from the outset
- 08Driving automation efforts by designing and building AI-assisted optimization harnesses that streamline profiling, hypothesis testing, and benchmarking
- 09Mentoring and coaching other engineers, fostering a culture of technical excellence and performance-aware development
Requirements
- 01Deep knowledge of Java internals and JVM memory management
- 02Understanding of concurrency models
- 03Ability to write high-performance, thread-safe, lock-free code
- 04Experience working with large open-source and enterprise codebases
- 05Proven experience in profiling and optimizing distributed systems
- 06Deep experience with benchmarking tools (flamegraphs, 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 across functions and teams, acting as a force multiplier for performance engineering
- 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 results in a distributed team using asynchronous, direct, and transparent communication
What we offer
- 01Base salary only (no variable compensation component)
- 02Competitive pay based on the work performed
- 03Health coverage for you and your family in many locations
- 04Flexible locations and schedules
- 05Generous number of vacation days each year
- 06Up to $2000 matching for financial donations and service (or local currency equivalent)
- 07Up to 40 hours per year for volunteer projects
- 08Minimum 16 weeks of parental leave
- 09Parity of benefits across regions
- 10Focus on diversity and inclusion