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.
