Posted 16 days ago
Senior Engineer, Competitive Benchmarking & Performance
@ Elastic
Canada
Overview
Elastic, the Search AI Company, is hiring a Senior Software Engineer to lead competitive benchmarking of Elasticsearch against alternative search, vector and analytics systems. The work covers building reproducible benchmark harnesses, fair comparisons, performance diagnosis and public technical reports. Base salary is $128,300 to $203,000 CAD, with RRSP matching and stock program eligibility.
Responsibilities:
- Own prioritized competitive benchmarking initiatives across search, vector and analytical workloads
- Build and maintain automated benchmark harnesses, datasets and load profiles
- Evaluate latency, throughput, resource use and cost efficiency
- Investigate performance differences with profiling and controlled experiments
- Publish reproducible benchmark reports and findings
Requirements summary:
- Solid software engineering skills in Python or another relevant language
- Hands-on experience diagnosing performance in distributed systems or search infrastructure
- Depth in search, vector retrieval, analytical databases or observability systems
- Sound experimental judgment and clear technical writing
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2026-10-21
- First seen by our source
- 2026-10-21
- Source record updated
- 2026-10-21
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Home, Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Perks mentioned | Generous paid time off, Generous parental leave, Retirement plan, Stock or equity |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Elastic
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Full company description
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
- LinkedIn followers
- 528,575
- People associated on LinkedIn
- 4,996
- Reported office locations
- 88 Kearny St, San Francisco, California 94108, US
- Keizersgracht 281, Amsterdam, North Holland 1016, NL
- 45 W. 27th St., New York, New York City 10001, US
- 5 Southampton Street, London, England, GB
- Unter den Linden 26-30, Unit #03.21/22, Berlin, 10117, DE
- 138 Market Street, The Work Project Capitagreen, Singapore, 048946 , SG
- 60 Margaret Street, Level 36, Sydney, New South Wales 2000, AU
- 3101 Wilson Blvd, Arlington, Virginia 22201, US
- 500 W Madison St, Suite 1000, Chicago, Illinois 60661, US
- 128, Rue du Faubourg Saint-Honoré, Paris, Île-de-France 75008, FR
- 56 Temperance St, Toronto, Ontario M5H 3V5, CA
- 823 Congress Ave, Austin, Texas 78701, US
- 2A Worker Stadium North Road, Pacific Century Place, 5/F, Beijing, Chaoyang 100001, CN
- 2 Chome-2-1 Kyōbashi, Chuo City, Tokyo, Japan, Tokyo, JP
- 51 Jongno 5(o).6(yuk)ga-dong, Jongno-gu, Seoul, South Korea, Seoul, KR
- Hysan Place, 500 Hennessy Road, 31 Floor, Hong Kong, Causeway Bay, CN
- Sunriver Building A, 1st floor, Embassy Golf Links Business Park, Challaghatta Bengaluru, Karnataka 560071, Bengaluru, IN
- WeWork Two Horizon Center, 5th Floor, Gurugram, Gurugram HR 122002, IN
- Herzogspitalstraße 24, Munich, Bavaria 80331, DE
- Vasagatan 28, Stockholm, Stockholm County 111 20, SE
- LABS TLV, Azrieli Sarona Tower, 121 Menachem Begin Road, Tel Aviv, IL
- Spaces - Athens, Theanous, Theanous Str, Athens 118 54, Greece, Athens, GR
- C 20, G Block Rd, G Block BKC, Bandra Kurla Complex, Mumbai, Maharashtra 400051, IN
- DIC Building 14, Units 201 & 220 2nd floor, Dubai, Jumeirah 14766 77074, AE
- Business categories
- Space Travel
- Data Visualization
- Information Technology
- Cyber Security
- Apps
- Software
- Search Engine
- SaaS
- Cloud Computing
- Analytics
- Database
- Aerospace
- Open Source
- Other recorded names
- Elastic
- Referral Board
- Specialties
- Big Data
- AWS
- Kibana
- Observability
- APM
- Search
- Distributed
- Lucene
- Database
- Open Source
- Cloud
- SIEM
- Security
- Logging
- Analytics
- Elasticsearch
- App Search
- Site Search
- Enterprise Search
- and ELK
- Profile identifies a recruitment agency
- No
- Reported total investment
- 161,999,996
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 1,001-5,000 employees |
| Headquarters | San Francisco, California |
| Organization type | Public Company |
| Specialties | Big DataAWSKibanaObservabilityAPMSearchDistributedLuceneDatabaseOpen Source |
| Open jobs on Jobsy | 36 |
| View page |
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. The typical starting salary range for new hires in this role is listed 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 Registered Retirement Savings Plan (RRSP) 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:
$128,300—$203,000 CAD
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 [email protected]. 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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