Senior Competitive Benchmarking Developer, Elastic
Product Marketing
CA$122.3-172.3k
Salary benchmarked on CAD rates and may differ on location + Equity
Open source platform powering search, observability, security, and more
Open for applications
Open source platform powering search, observability, security, and more
1001+ employees
Open for applications
CA$122.3-172.3k
Salary benchmarked on CAD rates and may differ on location + Equity
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 5+ years of software development experience with Python and Java, plus Linux shell scripting
- Strong understanding of distributed systems performance analysis, including CPU, memory, disk I/O, network, latency, and throughput
- Experience performing root cause analysis for performance issues in complex systems
- Familiarity with benchmarking in Linux VM and containerized environments
- Experience writing about benchmarking results for external audiences
- Ability to manage numerous projects and collaborate effectively across geographically distributed teams
Desirable
- Experience building benchmarking frameworks, performance tooling, or automated test infrastructure
- Experience working in public cloud environments, especially AWS and GCP
- Experience with Kubernetes and/or Terraform
- Prior experience with Elasticsearch
- Experience applying AI to expand benchmarking practices, improve benchmark design, or enhance benchmarking tooling
What the job involves
- Elastic is seeking a Senior Competitive Benchmarking Engineer to join its Product Marketing Organization
- This role will measure, validate and communicate performance metrics on Elastic vs competitive products
- The successful candidate will collaborate with various teams to position Elastic's offerings effectively against competitors, ensuring the organization remains competitive in a dynamic market
- The ideal candidate brings a strong mix of technical, business and communication ability
- You thrive in ambiguity, think critically, and can dive deep to deliver valuable insights
- Define benchmark methodologies and guidelines
- Optimize each product to ensure equal testing conditions
- Run the benchmarks and analyze the results
- Work with engineering and developer relations to validate your approach and results
- Publish the results through technical blogs or white papers with the information and resources for others to recreate your tests
Application process
- Vacancy Status: This is a posting for an existing vacancy. We are actively seeking to fill this position with a qualified candidate
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations.
- Craft your calendar: Flexible location and schedule for most roles.
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).
Company HQ
Union Square, San Francisco, CA
Leadership
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
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