Senior Software Engineer - Performance Tuning - Elasticsearch
Elastic
Salary undisclosed
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Description
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.
At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.
The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.
Additional 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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Benefits
- stock options
- parental leave
About this role
Elasticsearch's Performance team is looking for a Senior Software Engineer to drive optimization work across their search, observability, and RAG platform—used by over half the Fortune 500. You'd own performance engineering initiatives from design through production, profiling distributed systems to eliminate bottlenecks, building benchmarking frameworks, and collaborating with feature teams to embed performance-focused practices into the codebase. The work spans logging, metrics, vector search, and ES|QL, with a focus on keeping Elasticsearch performant and predictable across diverse deployment models, including serverless architectures.
This role demands deep expertise in Java internals, JVM memory management, and concurrent programming—specifically the ability to write high-performance, thread-safe, lock-free code at scale. You'll need proven experience profiling and optimizing distributed systems using tools like JMH and Rally, a solid grasp of distributed systems architecture, and a track record of using AI or advanced tooling to accelerate optimization and automate workflows. Experience with large open-source or enterprise codebases is essential, as is the ability to work autonomously and drive decisions across a distributed team.
The position is based in Ireland and requires in-office attendance. Compensation is base salary only, ranging from €87,300 to €138,100 EUR, with benefits including health coverage, flexible work arrangements, generous vacation, parental leave, and volunteer time matching.
How this employer is doing
average
- News: Recently Raised Funding
- Recent Acquisition
In the news
Ausbil Investment Management Ltd Acquires 7,402 Shares of Elastic N.V. $ESTC, Americanbankingnews
Pay for this role
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