Strong Senior DevOps Engineer
- Location
- Remote
- Employment
- Full-time
- Level
- Specialist
- Category
- DevOps & SRE
- Posted
Description
One of the biggest SportTech company 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.
Why you’ll 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.
Join the Team!
If you’re passionate about Kubernetes, cloud infrastructure, and platform engineering – and want to buildself-service systems in a high-scale, 100% hands-on environment – we’d love to hear from you.
Requirements:
- 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 2
- 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)
Job responsibilities:
- 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
Apply at the source
This role was published by GlobalLogic and listed via Djinni. Applications are handled there, not on this site.
Original posting: https://djinni.co/jobs/848604-strong-senior-devops-engineer/