Senior Software Engineer, Elastic
Developer Productivity
Open source platform powering search, observability, security, and more
Be an early applicant
Open source platform powering search, observability, security, and more
1001+ employees
Be an early applicant
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 10+ years of software engineering experience, including significant time building internal platforms or developer infrastructure
- Proven experience designing large-scale data or analytics platforms
- Deep familiarity with modern SDLC tooling ecosystems (Git providers, CI/CD, issue tracking, observability, developer portals, etc.)
- Experience building metrics frameworks or operational analytics platforms
- Ability to influence senior technical and business leadership
- Strong product and systems thinking applied to internal developer tooling
Desirable
- Experience building developer productivity or developer experience measurement systems
- Background in data engineering, ML/AI applied to engineering analytics, or large-scale observability platforms
- Experience working in organizations with 1,000+ engineers
- Experience building Backstage or similar developer portal ecosystems
- Experience building self-service engineering automation platforms
- Experience with the Elastic stack
What the job involves
- We are seeking an experienced senior engineer to design and build an internal engineering intelligence and developer productivity platform
- This platform will unify data across the software development lifecycle, generate actionable insights for engineering leadership, and create tooling that measurably improves developer experience, velocity, and effectiveness
- You will lead the architecture, design, and implementation of systems that transform raw engineering data into decision-making tools, operational dashboards, automated recommendations, and self-service developer workflows
- This is a high-impact, highly visible role that blends distributed systems, data platform engineering, developer tooling, and organizational influence
- Aggregates data from developer tools (source control, CI/CD, ticketing systems, observability platforms, AI coding tools, internal developer portals, etc.)
- Provides analytics on engineering productivity, workflow bottlenecks, quality signals, and resource allocation
- Measures developer experience using both quantitative signals and qualitative feedback
- Enables executive and team-level dashboards to track engineering performance and operational health
- Produces automated insights, risk detection, and data-driven recommendations
- Tracks adoption and effectiveness of emerging development technologies and automation
- Supports self-service workflows, engineering scorecards, and service ownership metadata
- Establishes measurement frameworks that align engineering output with business outcomes
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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