Technical Lead, Elastic
Agent Framework, Observability
€102.7-162.5k
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
€102.7-162.5k
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- Proven experience as a technical lead or principal engineer on an agent, daemon, or systems-level software project at scale managing distributed deployments, versioning, and backward compatibility
- Deep knowledge of observability data collection: metrics, logs, traces, and the protocols that carry them (OTLP, Prometheus Remote Write, syslog, etc.)
- Solid background in Go (Elastic Agent and Beats are primarily Go)
- Experience designing management and control planes for distributed software particularly protocol-driven approaches like OpAMP
- Track record of leading large, multi-team technical initiatives from ambiguous design space to shipped software
- Proven ability to seamlessly transition between different projects and codebases, and work with different teams based on dynamic business priorities
- Comfortable with the full arc of a technical decision: writing the design doc, socializing it across stakeholders, building consensus, and holding the line on what matters
- Great written communication; you produce design docs and ADRs that others trust and reference long after the decision is made
Desirable
- Direct experience with Elastic Agent, Fleet, Beats, or OpenTelemetry collector internals
- Experience with OpenTelemetry collector configuration, OTLP transport, or upstream contribution
- Experience with cross platform testing and developer productivity spanning all of Linux, Windows, MacOS, containers, and Kubernetes
- Knowledge about pipeline execution models and processing languages (Streamlang, Logstash, Fluent, etc.)
- Experience with CloudFormation, Terraform, or other infrastructure-as-code tooling in the context of agent deployment
- Contributions to open source projects in the observability or agent ecosystem
- Comfort working async-first across a globally distributed team
What the job involves
- Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. At the edge, Elastic Agent and Beats are how data leaves customer infrastructure
- This role is the tech lead position for the Agent Framework team: you will own the architecture, set the technical direction, and be the primary decision-maker for how Elastic's agent layer evolves to support the Streams model
- Design a scalable and capable architecture for the agent layer. Evaluate and implement new technologies to boost system performance. Conduct reviews of existing architecture to identify areas for improvement and lead architectural discussions to drive decision-making
- Provide technical guidance and support to team members while fostering a culture of continuous learning. Conduct code reviews and offer constructive feedback to improve team performance. Lead by example, demonstrating engineering best practices and setting high standards for quality
- Engage with stakeholders to gather their requirements and expectations appropriately. Collaborate with the product management team to prioritize features based on the input gathered from stakeholders
- Facilitate collaboration across teams by organizing meetings and coordinating efforts. Identify potential risks that could hinder project success and take initiative-taking measures to mitigate them. Adjust project plans in response to changing priorities or feedback from stakeholders to ensure alignment
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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