Senior Site Reliability Engineer - Kubernetes & AI Platform

Optomi; Seattle (WA); On-site; USD 140,000 - 180,000; Full time

Job summary

Optomi, in partnership with a leading Entertainment industry client, is seeking an experienced SRE to support multiple critical platforms from Seattle/Orlando/New York/Burbank. The role centers on Kubernetes, AI/ML integration, and automation across distributed systems.

You will design, operate, and improve scalable infrastructure with strong focus on reliability, monitoring, and observability, while collaborating across engineering, architecture, and security teams.

Qualifications

• 5+ years of experience in SRE, software engineering, platform/infrastructure engineering, systems administration, or related fields.
• Deep, hands-on Kubernetes expertise is required, including operations, monitoring, capacity planning, troubleshooting, and performance management.
• Strong Linux administration and distributed systems experience.
• Experience with cloud platforms, particularly AWS, and container technologies such as Docker.
• Strong infrastructure-as-code experience with Terraform, OpenTofu, or similar tools.
• Hands-on experience with CI/CD pipelines and source control systems such as GitLab or GitHub Actions.
• Experience with monitoring, logging, and observability platforms such as Datadog, Splunk, or CloudWatch.
• Strong understanding of networking fundamentals, APIs, and infrastructure automation.
• Experience building reusable tools, platforms, libraries, or modules used by multiple engineering teams.
• Experience operating in large enterprise environments with cross-team collaboration and competing priorities.
• Strong written communication skills and the ability to produce clear technical documentation and architecture proposals.
• Demonstrated ability to influence technical direction and serve as a thought leader within SRE/platform engineering.
• Experience with AI-assisted development tools such as Cursor, Claude Code, or GitHub Copilot is preferred.
• Experience integrating AI/ML services into engineering or CI/CD workflows is a plus.

Responsibilities

• Support and evolve critical platforms, including an AI platform, anexisting automation platform, and a new data and observability platform.
• Provide technical leadership across SRE, infrastructure, platform reliability, and automation initiatives.
• Design, operate, and improve scalable, highly available infrastructure and distributed systems, with a strong focus on Kubernetes.
• Monitor system health, capacity, performance, SLAs/SLOs, and reliability; troubleshoot complex infrastructure and application issues.
• Build and maintain infrastructure-as-code, automation, and CI/CD capabilities using tools such as Terraform/OpenTofu, Ansible, and GitLab CI/CD.
• Develop reusable platform components, modules, and developer-facing tools that enable engineering teams to work more efficiently.
• Implement observability, security scanning, monitoring, instrumentation, and telemetry across platforms and applications.
• Partner across engineering, architecture, and security teams to establish technical standards and drive platform strategy.
• Leverage AI-assisted development and AI/ML services to improve automation, code quality, documentation, and engineering workflows.

Skills

Kubernetes

Linux administration

AWS cloud

Docker

Terraform/OpenTofu

GitLab/GitHub Actions

Observability

Networking basics

SRE / Platform engineering

CI/CD pipelines

Tools

Datadog

Splunk

CloudWatch

OpenTofu

GitLab

GitHub Actions

Job description

Optomi, in partnership with a leading Entertainment industry client, is seeking an experienced SRE to support multiple critical platforms from Seattle/Orlando/New York/Burbank. The role centers on Kubernetes, AI/ML integration, and automation across distributed systems.

You will design, operate, and improve scalable infrastructure with strong focus on reliability, monitoring, and observability, while collaborating across engineering, architecture, and security teams.