Senior Software Engineer - Devops

About the team

The Ads Customer Interfaces team builds full-stack web applications, APIs, UIs, and ETL pipelines that serve as the primary interface between Roku's advertising platform and both internal and external customers. Our mission is to deliver a best-in-class user experience by simplifying complex business workflows, enabling users to focus on their customers rather than tedious processes.
As a member of this team, you will work closely with product, data, and engineering partners to build reliable, scalable systems that power Roku's advertising business.

About the role

We are seeking a Senior SRE / Platform Engineer (Infrastructure) to join the Ads Business Automation team. This is a product-embedded infrastructure role where you will actively contribute to application and ETL code while owning critical platform capabilities such as cloud infrastructure, Kubernetes environments, CI/CD systems, observability, networking, and security.
This role blends software engineering, infrastructure engineering, and reliability, and is ideal for engineers who enjoy building and operating systems end-to-end as part of a product team rather than working in a centralized operations function.

What you'll be doing

• Write clean, maintainable Python for services, automation, and infrastructure tooling.
• Design, migrate and operate Kubernetes clusters (EKS / GKE) in production.
• Lead cluster upgrades, workload migrations, autoscaling and capacity planning.
• Implement safe deployment strategies (rolling, canary, blue/green).
• Manage Infra as Code (Terraform or equivalent) and fully checked into version control.
• Operate multi-environment (dev/stage/prod) and multi-region setups on AWS and/or GCP.
• Build and maintain CI/CD pipelines for large monorepos.
• Support deployments for Web applications , Background workers and ETL and batch pipelines
• Improve release safety, rollback mechanisms, and developer velocity.
• Design and maintain telemetry across services using Metrics, logs, and traces, Grafana, Prometheus, OpenTelemetry or equivalent
• Set up PagerDuty alerts, on-call workflows, and incident response processes.
• Define and track SLIs, SLOs, and service health indicators
• Support GenAI-powered services used in Ads automation.
• Implement observability for LLM systems, including: Latency, throughput, error rates and Infrastructure-level reliability and capacity signals
  
  

We are Excited to have you if you have:

• 8+ years of experience in SRE, Platform Engineering, Infrastructure or Backend Engineering roles.
• Strong Python proficiency for services, pipelines, and automation.
• Hands-on production experience with Kubernetes.
• Experience working with AWS or GCP.
• Linux systems
• Networking (DNS, VPCs, routing)
• Distributed systems
• Experience with CI/CD pipelines, monorepos, and infrastructure-as-code.
• Experience building or operating observability and alerting systems.
• Experience with Airflow or large-scale ETL/data systems.
• Experience supporting GenAI / ML infrastructure in production.
• Prior on-call ownership for production systems.