AI Engineer Team Lead

Komodor

About The Position

Who are we? Komodor is a cutting-edge Kubernetes platform built by developers, for developers. We help engineering and infrastructure teams manage complex systems with ease, efficiency, and transparency — so they can focus more on innovation and less on firefighting Kubernetes challenges. Our platform is trusted by thousands of teams worldwide, with standout capabilities like Klaudia – our AI-powered Kubernetes failure detection and analysis engine that delivers real-time insights to dev and infra teams; the Cost team, helping companies dramatically reduce cloud spend; the Health team, building industry-leading troubleshooting features; and our Operations group, crafting powerful Kubernetes-native agents, operators, and controllers. Your mission: Lead the team building the agentic infrastructure powering Klaudia — our AI SRE. You'll own the architecture, set the technical direction, and push experimental ideas into production. This isn't a coordination role. You'll be a technical leader who builds alongside your team — setting the bar for architecture quality, driving experimental bets, and turning research into production-grade systems.

Requirements

Proven tech leader- 8+ years of backend engineering experience, including at least 2 years in a tech lead or team lead capacity. You've owned systems end-to-end, not just delivered tickets.
Proven ability to build teams- You've hired engineers you're proud of, mentored people to grow beyond where they thought they could, and created an environment where ownership is the default.
Deep experience with distributed systems- Concurrency, reliability, observability — you design for failure, not around it.
Experience building with AI-assisted tools- (e.g Cursor, Claude Code, etc.) You treat these as serious multipliers, not toys.
Strong communicator- You can hold a design review, align with product leadership, and explain a tricky architecture decision to an engineer in their first week — all with the same clarity.
Comfortable with open-ended problems- You enjoy tackling challenges that don't have a simple one-prompt AI answer — where the path forward requires judgment, not just execution.

Nice To Haves

AI/LLM product experience
Kubernetes & cloud infra
Agent evaluation frameworks

Responsibilities

Own the agentic infrastructure- You're responsible for the architecture of Klaudia's core — the systems that make autonomous investigation, root cause analysis, and self-healing possible at scale.
Build and grow your team- Hire great engineers, mentor them, run meaningful design reviews, and build a culture of high ownership and engineering excellence.
Drive experimental development- Run structured bets — LLM evaluation frameworks, new agent architectures, novel tool-use patterns — and bring the best ones to production.
Stay hands-on You'll design systems, review PRs critically, and write code where it matters. Your technical credibility is the foundation of your leadership.
Shape our AI strategy- Work closely with product and R&D leadership to define what Klaudia becomes next.