Senior Engineer, Competitive Benchmarking & Performance

Elastic; United States; Remote; USD 79,000 - 125,000; Full time

Benefits offered by this job

Health coverage for you and family

Flexible locations and schedules

Generous vacation days

Volunteer time allowance

Parental leave

Job summary

Elastic is seeking a Senior Software Engineer to lead competitive benchmarking initiatives for Elasticsearch performance, including benchmarking across search, vector, and hybrid retrieval workloads. You will develop workloads, automate experiments, and compare Elasticsearch with alternative systems to guide product improvements.

You will publish benchmark artifacts and collaborate with engineering and content teams to ensure reproducible results and meaningful insights for customers.

Qualifications

• Strong software engineering and automation experience in Python or similar language.
• Hands-on experience evaluating performance in distributed systems or search infrastructure.
• Ability to design representative datasets and workloads with concurrency and ingestion behavior.
• Experience building reproducible test environments and documenting configurations.
• Clear technical writing and communication of findings and limitations.

Responsibilities

• Own prioritized competitive benchmarking initiatives across search, vector and hybrid retrieval, and observability workloads.
• Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles reflecting real-world usage.
• Design fair comparisons with documented system versions, configurations, and resource budgets.
• Evaluate latency, throughput, resource use, and cost, comparing recall/relevance targets.
• Adapt and extend workload tools (Elasticsearch Rally, ClickBench, vector benchmarks).
• Investigate performance differences using profiling and controlled experiments; collaborate with engineers to validate improvements.
• Evaluate cloud deployments including serverless offerings and scaling behavior.
• Publish reproducible benchmark artifacts and technical reports detailing methodology and findings.
• Collaborate with product teams to prioritize benchmarks and translate findings into product improvements.

Skills

Python automation

Distributed systems performance

Benchmarking experience

Experiment design

Profiling and instrumentation

Documentation and technical writing

Collaboration across teams

Data analysis

Tools

Elasticsearch Rally

ClickBench

Vector search benchmarks

Job 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 lead competitive benchmarking initiatives within the Elasticsearch Performance team.

You will develop representative workloads, automate reproducible experiments, and investigate how Elasticsearch compares with alternative systems. Your work will identify performance strengths, gaps, and tradeoffs, guide engineering improvements, and help customers make informed technical decisions.

This is a hands‑on engineering role focused on building benchmarks and investigating performance, with technical publishing as a shared responsibility alongside engineering and content partners.

A typical investigation might ask how Elasticsearch and an alternative system compare under concurrent ingestion and hybrid search, at comparable retrieval quality and cost, and which engineering changes would improve the outcome. This role offers the opportunity to connect deep performance analysis with product improvements and public technical work.

What You Will Be Doing

• Own prioritized competitive benchmarking initiatives across search, vector and hybrid retrieval, and analytical and observability workloads.
• Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles that reflect real-world usage, including concurrent ingestion and querying.
• Design fair comparisons with documented system versions, configurations, tuning decisions, resource budgets, and functional differences.
• Evaluate latency distributions, throughput, resource consumption, and cost efficiency. For retrieval workloads, measure performance at comparable recall or relevance targets.
• Adapt and extend workload-appropriate tools such as Elasticsearch Rally, ClickBench, and vector search benchmark frameworks.
• Investigate performance differences using profiling, system metrics, and controlled experiments; collaborate with engineering teams to identify causes and validate improvements.
• Evaluate relevant self-managed and managed cloud deployments, including serverless offerings, accounting for scaling behavior and service constraints.
• Work with engineering and technical content partners to publish reproducible benchmark artifacts and clear technical reports that explain methodology, findings, limitations, and tradeoffs.
• Partner with engineering and product management to prioritize benchmark coverage and translate findings into actionable product improvements.

What You Bring

• Solid software engineering skills, with experience building maintainable automation and analysis tools in Python or another relevant programming language.
• Hands‑on experience evaluating and diagnosing performance in distributed systems, databases, or search infrastructure.
• Depth in at least one relevant area (search, vector retrieval, analytical databases, or observability systems) and the ability to learn unfamiliar systems.
• Experience designing representative datasets and workloads, including query patterns, concurrency, and ingestion behavior.
• Sound experimental judgment, including repeated measurements, variability analysis, warm‑up and cache effects, and the distinction between meaningful changes and measurement noise.
• Experience building reproducible test environments and documenting configurations, procedures, and results.
• Clear technical writing and communication skills, with the ability to explain complex findings and their limitations.
• Solid collaboration skills and the ability to turn performance evidence into applicable engineering recommendations.

Bonus Points

• Experience with Elasticsearch, Lucene, Rally, ClickBench, or vector search benchmark frameworks.
• Experience measuring retrieval quality alongside latency, throughput, and resource usage.
• Familiarity with cloud performance and cost analysis, including autoscaling and serverless systems.
• Public technical writing, open‑source contributions, or published benchmark studies.

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.

The typical starting salary range for this role is: 307 800 zł — 486 900 zł PLN

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 [e-mail].

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)

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