Join Optum, a global leader in healthcare technology, dedicated to improving health outcomes for millions. We foster an inclusive culture with talented colleagues, comprehensive benefits, and ample career development opportunities. Be part of our mission to advance health optimization globally, connecting people with the care and resources they need.

This role focuses on ensuring the reliability, security, and scalability of our agentic AI systems within Google Cloud Platform (GCP). You will manage critical aspects including containerization, identity management, observability, CI/CD automation, and incident response. A key part of this position involves developing AI agents to automate operational tasks.

Take ownership of the agentic AI system's availability, performance, and capacity on GCP, establishing and monitoring SLOs and error budgets.

Manage containerized applications on Kubernetes (GKE and Cloud Run), focusing on scaling, resilience, and cost efficiency.

Implement comprehensive end-to-end observability, including metrics, logs, traces, and alerts, with specific attention to AI signals like token usage, model latency, and agent failure rates.

Automate CI/CD pipelines and build processes, incorporating versioning, artifact management, safe rollouts, and infrastructure as code using Terraform.

Deploy and manage SSO solutions (OAuth 2.0, OIDC, SAML) and enhance container supply-chain security. Address AI-specific security threats such as prompt injection and data leakage.

Develop AI agents designed to automate incident triage, analyze build failures, execute runbooks, and enable self-healing capabilities.

Participate in on-call rotations, lead incident response in production war rooms, and conduct blameless postmortems.

Adhere to all company policies and directives, including those related to work location, team assignments, and flexible work arrangements.

Possess a Bachelor's degree in Computer Science or equivalent practical experience.

Accumulate at least 8 years of experience in SRE, DevOps, or platform engineering, with a minimum of 3 years managing production cloud systems.

Demonstrate hands-on experience with SSO and identity solutions like OAuth 2.0, OIDC, SAML, Entra ID, or Okta.

Showcase solid, hands-on expertise in GCP, including GKE, Cloud Run, IAM, networking, and the Cloud Operations Suite.

Bring proven experience in production incident management and war room participation.

Familiarity with CI/CD tools such as GitHub Actions, Cloud Build, Jenkins, or Argo CD, alongside Terraform.

Proficiency in observability tools including OpenTelemetry, Prometheus, Grafana, Cloud Monitoring, or Splunk.

Working knowledge of LLM and agentic systems, such as Vertex AI/Gemini, RAG, and agent frameworks.

Expertise with Docker and Kubernetes is essential.

Strong proficiency in Python and Bash scripting.