Senior Software Engineer - Kubernetes & ServiceMesh Job at Roku (Bengaluru)

Job Description

Join us in building Roku’s next-generation cloud-agnostic platform that powers Kubernetes and service mesh at scale.

Architect, design, and deploy Roku’s next-generation cloud platform and service mesh
Build and own solutions to Roku's compute problems using Docker, Kubernetes, Istio/Envoy, Terraform and scripting to evolve our tech stack and deployments
Proactively drive the research and implementation of new technologies to enhance scalability, reliability, and developer experience
Integrate security best practices into infrastructure design and automation
Build tooling to visualize inefficiencies and optimize costs across shared-tenancy clusters, including network traffic insights, cross-cluster communication efficiency, and cost attribution
Collaborate with internal teams to migrate workloads to Kubernetes + Istio, leveraging open-source observability tools
Work closely with the Observability team to scale monitoring and logging solutions for a holistic view of the platform
Leverage SRE principles to maintain high availability and streamline onboarding workflows
Mentor team members and help define best practices for infrastructure and automation

Strong hands-on experience with cloud technologies (AWS preferred
GCP or Azure is a plus), specifically in architecting and managing performant, large-scale systems handling significant traffic/data
Deep knowledge of Kubernetes (EKS, GKE, AKS, or similar) and service mesh technologies
Proficiency in Go or another programming language, Python or another scripting language
Experience designing infrastructure and building automation tools, while collaborating with internal team members and external stakeholders
Experience building CI/CD pipelines and following modern deployment practices
Familiarity with observability tools (Prometheus, Thanos, Loki, Grafana, etc.)
Ability to work independently and communicate effectively with technical and non-technical stakeholders
Passion for learning and solving complex infrastructure challenges
Experience integrating AI tools to improve processes and reduce operational toil (a plus)
Master’s degree or equivalent experience (8+ years preferred)

Experience integrating AI tools to improve processes and reduce operational toil