This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is on the DevOps team, supporting the MNTN platform and Engineers. The right person will not only have a deep knowledge of system administration and GCP, but will also be able to work with a variety of Developers. You will work closely with our Engineering team and help meet the service's requirements. - Design, provision, and manage infrastructure primarily on Google Cloud (GKE) and other cloud environments, with Kubernetes as the core platform abstraction. - Work directly with engineering counterparts on the design and implementation of cloud-based infrastructure solutions. - Build platform capabilities, internal developer portal (IDP) components, and self-service tooling that reduces friction for engineers and standardizes how services run in production. - Design and build automations and infrastructure tooling with GitOps as a fundamental principle, integrating with APIs, cloud SDKs, and Kubernetes components. - Create and manage CI/CD pipelines (e.g., ArgoCD, Argo Rollouts, Argo Workflows, GitHub Actions), ensuring safe, observable, and repeatable deployments across environments. - Partner with engineering teams to define scalable infrastructure patterns, reusable modules, and cost-efficient solutions based on usage and growth requirements. - Monitor infrastructure spend and contribute to cost analysis, optimization, and FinOps practices to improve cloud efficiency. - Improve observability, alerting, SLOs, and runbooks to strengthen reliability and incident response. - Implement cloud security and compliance best practices, including IAM design, workload identity, secrets management, and container security standards. Qualifications - 5+ years in DevOps, SRE, or Platform Engineering, with strong production experience in GCP and Kubernetes (GKE). - Experience with additional cloud providers is a plus. - Strong automation skills, programming and scripting in Python, including working with APIs, SDKs, and CLIs. - Proven experience operating Kubernetes in production, including Helm, ArgoCD, operators, Kustomize, networking, autoscaling, and RBAC. - Deep expertise in Terraform / OpenTofu and infrastructure-as-code best practices; experience designing reusable modules and managing multi-environment deployments. Terragrunt is a plus. - Hands-on experience supporting hybrid or multi-cloud deployments where appropriate. - Solid understanding of cost modeling, tagging strategies, and cloud cost optimization techniques (FinOps awareness a plus). - Familiarity with microservices architectures, service discovery, and containerization workflows. - A platform mindset: you’ve built tools, abstractions, or paved roads that improve developer velocity and system reliability. - Strong communication skills and a habit of clear, useful documentation. Benefits - 100% remote within the US - Flexible vacation policy - Annual vacation allowance for travel related expenses - Three-day weekend every month of the year - Competitive compensation - 100% healthcare coverage - 401k plan - Flexible Spending Account (FSA) for dependent, medical, and dental care - Access to coaching, therapy, and professional development

• Analyze, structure, and automate demand management processes and monitor initiatives within the client's Transformation/Agility area. • Promote data integration between tools such as Azure DevOps, Excel, and SharePoint. • Build dashboards and automations to reduce manual activities. • Gather and analyze current demand management and prioritization processes for the area. • Map existing data sources (Azure DevOps, Excel, SharePoint, and other repositories). • Identify opportunities for automation and improvements in information flow. • Develop automations for data collection, consolidation, and updating. • Create integrations between tools using APIs or connectors. • Design automated workflows using Power Automate. • Ensure data quality, consistency, and automatic updates.

• Design, implement, and maintain scalable and reliable infrastructure to support Netflix Streaming Suite. • Collaborate with engineering and product teams to integrate observability, reliability, and security considerations into the entire software development lifecycle. • Develop and implement automation tools for monitoring, deployment, and incident response to ensure efficient and reliable operations. • Participate in on-call rotations to ensure the 24/7 health of the Netflix Streaming and contribute to incident response, diagnosis, and resolution. • Implement and maintain a robust incident response framework, including blame-aware incident reviews to learn from operational surprises. • Proactively identify sources of instability in distributed systems and analyze how complex systems fail from a reliability and resilience perspective. • Champion and embed a culture of reliability across the Ads organization. • Act as a force multiplier by creating clear documentation, developing best-practice guides, and building tooling to roll out reliability enhancements automatically.

• Design, implement, and maintain scalable and reliable infrastructure to support Netflix Ads Suite. • Collaborate with engineering and product teams to integrate observability, reliability, and security considerations into the entire software development lifecycle. • Coordinate capacity planning as we scale up Dynamic Ad Insertion for global-scale Netflix Live streaming. • Develop and implement automation tools for monitoring, deployment, and incident response to ensure efficient and reliable operations. • Participate in on-call rotations to ensure the 24/7 health of the Netflix Ad Suite and contribute to incident response, diagnosis, and resolution. • Implement and maintain a robust incident response framework, including blame-aware incident reviews to learn from operational surprises. • Proactively identify sources of instability in distributed systems and analyze how complex systems fail from a reliability and resilience perspective. • Champion and embed a culture of reliability across the Ads organization.