In this pivotal position, the DevOps & Platform Engineering Team Lead will take charge of ensuring the reliability, scalability, and operational excellence of the company's cloud platform. This role involves leading a small, high-impact team of DevOps and platform engineers - combining deep infrastructure ownership with platform thinking - building self-service tools and infrastructure that enable R&D teams to move fast and independently.
Team Leadership & Growth - Mentor engineers, conduct performance reviews, and build a high-trust collaborative team.
Leverage AI to accelerate development and delivery - leverage industry leading tools and our companys agentic concepts to speed up development and operational workflows.
Operational Excellence - Set high standards for code quality, monitoring, and incident response; ensure systems are robust and secure.
Technical Direction - Guide architectural decisions, balancing immediate product needs with long-term scalability.
Enable Autonomous Execution - Build self-service platforms (GitOps, observability, cost dashboards) so product teams deploy and monitor independently.
Stay Hands-On - 60%+ of your time is hands-on: lead architecture reviews, debug critical incidents, and mentor through code and config reviews - you're a player-coach.
Requirements: Requirements
5+ years in infrastructure or DevOps engineering, with at least 2+ years leading teams (managing 3+ engineers, as manager or tech lead).
Strong development background - The
team builds tools for developers; a coding mindset is essential (Python, Go, Node.js or similar).
Deep Kubernetes expertise - Production experience with EKS and/or GKE, GitOps (ArgoCD/Flux), service mesh, resource management, and multi-tenant cluster operations.
GitOps & CI/CD mastery - Deep hands-on with ArgoCD or Flux, kustomize/Helm, rollout strategies, deployment safety, change ownership, and audit trails.
AWS platform depth - EC2, EKS, S3, CloudFront, IAM/IRSA, VPC networking, RDS, cost optimization levers.
Observability mindset - Proven experience building and operating monitoring stacks (Prometheus/Grafana/Datadog/Coralogix); SLO-driven thinking, actionable alerting, runbook culture.
AI-first mindset - Actively uses AI tools (Copilot, Claude) to accelerate development and ops workflows.
Platform engineering background - Experience building self-service developer platforms, golden paths, and internal tooling that reduces team dependency on DevOps.
People leadership skills - You've hired, mentored, and grown engineers; conducted performance reviews; and built high-trust, high-performing teams.
Ownership & Communication - own outcomes end-to-end, escalate only when truly blocked, and translate infrastructure complexity into business impact.
Bonus points if you have:
GCP experience (advantage) - GKE, GCS, Cloud Run, or hybrid multi-cloud operations.
Video streaming infrastructure - HLS, RTMP, CDN optimization, live video pipelines.
FinOps / cost optimization - Cost attribution, right-sizing, storage lifecycle policies, etc.
This position is open to all candidates.