Senior Software Engineer - Service Mesh

The central Infrastructure Engineering team is looking for highly skilled infrastructure and software engineers to help develop and drive Roku's service mesh hosting architecture. Our team is responsible for building and scaling both the Platform (Kubernetes, Istio, Envoy, operators, and more) to affect Roku's transition towards a single, unified, cloud-agnostic system where all teams speak the same infrastructure language. We are engaging with Roku's engineering teams to migrate hundreds of workloads to our common platform, including helping augment and automate CI/CD flows. We are looking for engineers who love working collaboratively across teams to achieve results that impact the entire company.
Responsibilities:
Help architect, design, build, and deploy Roku's next-generation service mesh and cloud infrastructure.
Contribute to evolving our deployments by building solutions using Docker, Kubernetes, Istio/Envoy, and Terraform.
Join in efforts to investigate new technology and tools to be adopted by Roku.
Help build and integrate security as part of the infrastructure.
Collaborate on internal customer engagements as we migrate workloads to Kubernetes + Istio + open-source observability tools and technologies.
Work closely with the Observability team to integrate and scale existing and new observability tools as part of a holistic solution.
Work closely with the SRE team to maintain availability of our services and improve onboarding workflows.
Mentor other team members to define and adopt new or improve existing processes and procedures.
Requirements:
Strong hands-on experience in cloud technologies. AWS, ECS, and Kubernetes (EKS, GKE, AKS or other) 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
14-18 yrs