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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.
Experience
12-16 yrs
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