Senior Software Engineer - Performance Tuning - Elasticsearch

Elastic
United States
Remote

Who this role is best for

Strong fit for candidates with deep Java and distributed systems expertise who drive performance-focused development practices and collaborate across teams.

Best fit for

  • Candidates with proven experience in optimizing distributed systems and Java performance
    — “proven experience in profiling and optimizing distributed systems
  • Individuals who have worked on the internals of large-scale data stores or search engines
    — “Experience working on the internals of a large-scale data store or search engine
  • Engineers who can apply AI or advanced tooling to automate performance workflows
    — “proven track record of using AI or advanced tooling to accelerate optimization

Things to consider

  • Fixed compensation structure without variable components may appeal to candidates prioritizing stability
    — “Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
  • Geographic location can significantly impact salary range, especially in select US cities
    — “In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply

How to stand out

  • Highlight experience with JVM memory management and lock-free concurrency in your resume and interviews
    — “deep knowledge of Java internals and JVM memory management
  • Demonstrate your ability to build performance harnesses and automate benchmarking workflows
    — “Contributing to automation efforts by building AI-assisted optimization harnesses
  • Emphasize your background with large-scale codebases and technical leadership in peer reviews
    — “You can work autonomously, drive decisions, and result in a distributed team
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

Skills & requirements

Required

JavaJVM Memory ManagementConcurrency ModelsProfilingOptimizing Distributed SystemsBenchmarkingAi-assisted OptimizationPerformance-focused Development Practices

Preferred

JMHRallyEs|qlVector SearchServerless Architectures

Stack & domain

JavaJVM Memory ManagementConcurrency ModelsBenchmarking ToolsDistributed SystemsAIAutomationProfilingOptimizationPerformance EngineeringCollaborationProblem-solvingCommunicationTechnical GuidanceSearchObservabilityAI RetrievalPerformance Tuning

About the role

Original posting from Elastic

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role

Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software.

What You Will Be Doing

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.

What You Bring

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.

Bonus Points

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.

Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.  

The typical starting salary range for new hires in this role is listed below.  In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. 

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.  

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program.  Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is:$133,100—$210,600 USDThe typical starting salary range for this role in the select locations listed above is:$159,900—$252,900 USDAdditional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Competitive pay based on the work you do here and not your previous salary

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

Increase your impact - 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

Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

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Source: Elastic careers

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