Team Lead/Senior Full Stack Application 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
- 6+ years of experience as a full stack engineer, with deep expertise in React and TypeScript
- Strong understanding of technical architecture, performance optimization, and building modular component libraries
- Experience leading technical projects and collaborating across functions (PM, TPM, Design, etc.)
- Comfortable working in cloud environments and collaborating with back-end systems (ideally built on Google Cloud Functions, RESTful APIs)
- Experience working with CI/CD pipelines and GitOps-style development workflows
- Excellent interpersonal skills with the ability to collaborate with non-technical team members and translate business needs into technical solutions
- Passion for continuous improvement, creative problem solving, and delivering delightful internal tools
Desirable
- Familiarity with Google Cloud services (e.g., Cloud Functions, BigQuery)
- Experience building data visualizations and analytics dashboards
- Hands-on work with no-code/low-code integration tools (e.g., Zapier) or automation platforms
- Exposure to back-end development using Node.js or Python
- Experience with Next.js for modern web applications
- Familiarity with NoSQL databases (e.g., Elasticsearch)
- Experience integrating AI capabilities into applications
What the job involves
- We're seeking a Senior Full Stack Application Engineer who can serve as the primary technical owner for the application, lead other engineers, and partner closely with Technical Program Managers (TPMs), and users to bring our roadmap to life
- Be the lead engineer and architect for the application (React/TypeScript)
- Translate business requirements from marketers and TPMs into scalable, intuitive, and high-performance application features
- Own technical strategy, design, and implementation, ensuring the platform is modular, maintainable, and performant
- Collaborate with back-end engineers and infrastructure teams to build and maintain a smooth and efficient development lifecycle
- Lead technical planning and estimation, helping prioritize work based on impact, feasibility, and dependencies
- Mentor junior developers, conduct code reviews, and raise the engineering bar through thoughtful feedback and guidance
- Partner with leadership to craft the vision, roadmap, and technical stack of the platform
- Help us continue to consolidate marketing tools, reduce SaaS dependencies, and deliver custom-built, natively integrated applications that meet unique business needs
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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