Sr. Infrastructure Engineer (DevOps)

Roku is hiring for a Senior Staff/Principal Infrastructure Engineer opportunity with a leading global product company that's building its next-generation cloud-agnostic hosting platform. In this role, you'll architect and scale Kubernetes-based infrastructure, service mesh, and cloud platforms that power hundreds of production workloads. You'll work with Kubernetes, Istio/Envoy, Terraform, AWS, Docker, Go, Python, CI/CD, and observability tools while collaborating closely with the Platform, SRE, and Infrastructure teams.

Requirements:

• 12+ years of experience in platform, cloud, infrastructure, or SRE engineering.
• Hands-on experience managing double-digit production Kubernetes clusters.
• Strong expertise in AWS, Kubernetes, Terraform, Docker, and infrastructure automation.
• Programming experience in Go and/or Python.
• Experience with observability tools like Prometheus, Grafana, Loki, or Thanos.
• Proven technical leadership experience, driving architecture, mentoring engineers, and influencing platform strategy across multiple teams.

We're excited if you have the following:

• Strong hands-on experience in cloud technologies. AWS, ECS, and Kubernetes (EKS, GKE, AKS, or other) are preferred.
• Knowledge of another cloud platform like GCP or Azure is a plus but not required.
• Demonstrated understanding of overall infrastructure design and developing tools to enable and automate the infrastructure.
• Experienced with a high-level scripting language (such as Python) and a system programming language (such as Go).
• Strong experience with Kubernetes.
• Production experience in testing and deploying applications via modern CI/CD tools and concepts.
• Familiarity with observability tools like Prometheus, Thanos, Loki, Grafana, etc.
• The drive and self-motivation to understand the intricate details of a complex infrastructure environment.
• Ability to work independently.
• Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders.
• Experience with integrating AI tools for improving processes and reducing toil is a plus.
• Master's degree or equivalent experience (8+ years).
• You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.