DevOps & Platform Engineer

Our infrastructure powers millions of live sports events worldwide — from raw video capture at remote venues to real-time stream delivery and ML-driven monetization. As a DevOps & Platform Engineer, you will be a core contributor to the reliability, scalability, and operational excellence of our cloud platform. You’ll work inside a self-service, pod-based engineering model where your job is to build the platforms, pipelines, and guardrails that let product teams ship independently — at high velocity and with full operational ownership. This is a high-autonomy, high-impact individual contributor role with a clear technical growth path. As part of your role, you will: • Build and maintain GitOps-based delivery pipelines (ArgoCD) so product pods deploy safely without DevOps intervention. • Design and evolve self-service tooling — golden paths, deployment templates, scaffolding — that reduce pod dependency on the platform team. • Implement deployment safety guardrails: config diffing, change ownership, rollout strategies, and audit trails. • Leverage AI to accelerate development and delivery — leverage industry leading tools and our company’s agentic concepts to speed up development and operational workflows. You should bring with you: • 3–6 years in infrastructure, DevOps, or platform engineering roles. • Production-grade Kubernetes experience: EKS/GKE, GitOps (ArgoCD/Flux), service mesh, multi-tenant cluster operations, resource management. • Deep hands-on GitOps and CI/CD: ArgoCD or Flux, kustomize/Helm, rollout strategies, deployment safety, change ownership, audit trails. • AWS platform depth: EC2, EKS, S3, CloudFront, IAM/IRSA, VPC networking, RDS, cost optimization levers. • Platform engineering orientation — you think in platforms and self-service, not one-off scripts or manual runbooks. • AI-first approach — actively uses AI tools to accelerate development and operations; not just aware of them, but fluent. • Ownership mentality — own outcomes end-to-end, escalate only when truly blocked, and translate infrastructure complexity into business impact. • 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 (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. • Development background (Python, Go, Node.js, or similar). Why you’ll be working here: • Real Impact: your decisions affect millions of fans, coaches, and venues globally. • Unique challenges at scale: real-time video, K8S and CDN optimizations, from HW to SW. • Ownership & Growth: high autonomy, influence platform strategy, clear path to leadership. • AI-First Culture: cutting-edge AI tools, define how Pixellot leverages AI across engineering. Відгукнутись на вакансію