Principal Software Engineer - Performance Tuning - Elasticsearch

Elastic
Poland
Workplace: OnsiteFull timePLN 369,400 - 584,300 annuallyFunction: Software EngineeringSkills: ["Collaboration","Autonomy","Mentoring","Technical excellence","Performance-focused engineering"]

Lead architectural and code-level performance engineering for Elasticsearch, driving continuous optimization and predictability across complex distributed systems. Own performance initiatives end-to-end from design to production, build performance models and methodologies, and ensure robust benchmarks with regression detection for both stateful and serverless architectures. Profile bottlenecks across logging, metrics, vector search, and ES|QL, and build automation/AI-assisted optimization harnesses while mentoring engineers and embedding performance-first thinking into new features.

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FursaFursa
Elastic
Elastic
4 days ago

Principal Software Engineer - Performance Tuning - Elasticsearch

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Lead architectural and code-level performance engineering for Elasticsearch, driving continuous optimization and predictability across complex distributed systems. Own performance initiatives end-to-end from design to production, build performance models and methodologies, and ensure robust benchmarks with regression detection for both stateful and serverless architectures. Profile bottlenecks across logging, metrics, vector search, and ES|QL, and build automation/AI-assisted optimization harnesses while mentoring engineers and embedding performance-first thinking into new features.
Location: Poland
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Own core performance engineering initiatives from architecture through production, delivering high-impact optimizations.
  • •Lead technical design, planning, and execution for major architectural and code-level performance improvements.
  • •Develop foundational performance models and methodologies for complex distributed systems.
  • •Profile and analyze system behavior to identify bottlenecks across logging, metrics, vector search, and ES|QL.
  • •Build automation/AI-assisted optimization harnesses to streamline profiling, hypothesis testing, and benchmarking, and mentor engineers to embed performance-first practices.

Pay and Benefits

Salary: PLN 369,400 - 584,300 annually
Perks:Health InsurancePaid LeaveParental Leave

Key Requirements

  • •Deep knowledge of Java internals and JVM memory management, including concurrency models and writing high-performance, thread-safe, lock-free code.
  • •Proven experience profiling and optimizing distributed systems, including benchmarking and identifying performance regressions.
  • •Solid understanding of distributed systems architecture and scaling challenges for large-scale data stores.
  • •Experience using AI or advanced tooling to accelerate optimization, debugging, and automate benchmarking workflows.
  • •Ability to collaborate across teams and work autonomously to drive decisions in a distributed environment.
Experience:Open sourceEnterprise softwareDistributed systems
Skills:CollaborationAutonomyMentoringTechnical excellencePerformance-focused engineering
Tech Stack:JavaJVMJMHRallyFlamegraphsElasticsearchES|QLVector searchRAGC++RustSIMD

Company Brief

Elastic
Builds the Elastic Stack (Elasticsearch, Kibana, Beats, Logstash) and provides search, observability, and security solutions that enable organizations to search, analyze, and protect data in real time across applications, infrastructure, and enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Amsterdam, Netherlands
Founded: 2012
WebsiteLinkedIn