AI Engineer Team Lead
Indexed description
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.
What will you do?
- 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.
- Category-defining work- AI SRE is the hottest space in cloud infra. You'll be leading the team that defines what it means — not catching up to anyone.
- Real autonomy- You'll set the technical roadmap for Core. No pre-solved problems handed down to you — you decide what gets built and how.
- Build something that lasts- Hire and shape a team from an early stage. Your engineering culture decisions here will compound for years.
- Serious engineering culture- High bar for craft, strong team around you, and leadership that respects technical depth over process theater.
What will you bring?
- 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.
- AI/LLM product experience
- Kubernetes & cloud infra
- Agent evaluation frameworks
- Work with the latest tech (AI, Agents, cloud-native tools)
- Room to grow and learn
- Flexible work setup
- Competitive pay and benefits
- Budget for conferences, courses, and professional development
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