Posted 3 months ago
Senior Software Developer - Performance Tuning - Elasticsearch
@ Elastic
Canada
Overview
Elastic is hiring a Senior Software Developer for its Elasticsearch Performance team to build high-quality code and perform technical analysis that improves the optimization and predictability of Elasticsearch. The work covers profiling, benchmarking, regression detection and AI-assisted optimization tooling across stateful and serverless architectures. The posting states a base salary of $128,300 to $203,000 CAD, a company-matched RRSP and flexible locations and schedules for many roles.
Responsibilities:
- Contribute performance engineering code from development to production
- Profile systems to find bottlenecks in logging, metrics, vector search and ES|QL
- Build benchmarks and regression detection for stateful and Serverless architectures
- Build AI-assisted optimization harnesses for profiling and benchmarking
- Provide technical guidance and peer reviews
Requirements summary:
- Deep knowledge of Java internals and JVM memory management
- Experience writing high-performance, thread-safe, lock-free code
- Proven profiling and benchmarking of distributed systems (JMH, Rally)
- Understanding of distributed systems architecture and scaling
- Track record of using AI or advanced tooling to accelerate optimization
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2026-08-18
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-10-11
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 |
| 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
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
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 Developer 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.
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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