DevOps & Platform Engineering Team Lead

Pixellot's infrastructure is the backbone behind millions of live sports events worldwide, enabling seamless experiences from the initial video capture at remote venues to delivering real-time streams and leveraging machine learning for monetization. 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. As part of your role, you will: • 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 company’s 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: • 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.