Security Research Engineer, Elastic
Open source platform powering search, observability, security, and more
Job no longer available
Open source platform powering search, observability, security, and more
1001+ employees
Job no longer available
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- Our geographically dispersed team values positivity and inclusivity in the workplace, clear communication, collaborative learning, and guided mentorship
- If you have a passion for security research and would enjoy the challenge of devising novel methods for thwarting malicious actors in an ever-evolving threat landscape, join our growing team!
- 3+ years of professional experience analyzing attacker tactics, techniques, and procedures (TTPs) and developing detection methods for security threats
- 3+ years of strong development experience in C, C++, and Python
- Experience in reverse engineering and malware analysis
- Subject matter expertise in Windows internals, security features, and system architecture
- Collaborative mentality with a strong disposition to learn new skills and technologies
- Motivation to succeed in a distributed, fast-paced, and autonomous work environment
What the job involves
- The Elastic Security Endpoint Protections team research, designs, and builds visibility and detection capabilities that are integrated into Elastic Defend, our endpoint and SIEM security solution
- We are looking for a Security Research Engineer to join our team and assist with leading our efforts to build new, innovative features which will help secure our users against the latest emerging threats
- You will collaborate with the broader Elastic Security team, which consists of a diverse group of skilled researchers, data scientists, and engineers who possess extensive domain expertise in their respective areas
- Research emerging attacker techniques and develop innovative, effective, and resilient detection features
- Integrate extended eventing and visibility capabilities into our endpoint codebase
- Improve efficacy of our detection features by rapidly responding to emerging threats
- Implement endpoint code in collaboration with peers in multiple countries and time zones
- Review telemetry data and establish mitigation strategies to limit potential false positives and performance impact
- Present research material at security conferences and publish technical content on the Elastic Security Labs
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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