Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The Associate Site Reliability Engineer will design, develop, and deploy AI-powered solutions, maintain Kubernetes-based infrastructure, and collaborate with developers to automate workflows. This role is essential for ensuring high availability and reliability of applications.

Responsibilities

• Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making
• Design, deploy, and maintain Kubernetes-based infrastructure to ensure high availability and scalability of applications
• Build and manage CI/CD pipelines using GitHub Actions to enable fast and reliable deployments
• Use Terraform to provision and manage infrastructure in Google Cloud Platform (GCP)
• Manage and optimize Apache Kafka-based systems to ensure reliable message streaming and data processing
• Monitor and improve system performance and reliability using Prometheus and Grafana
• Collaborate with developers to automate workflows and implement best practices for infrastructure-as-code (IaC)
• Write Python scripts for automation and tooling to enhance operational efficiency
• Troubleshoot and resolve system issues to minimize downtime and impact on users
• Participate in on-call rotations and incident response to ensure high service reliability

Skills

• 1+ years of experience with Google Cloud Platform (GCP) services such as Compute Engine, Kubernetes Engine, and Cloud Storage
• 1+ years of hands-on experience with Kubernetes for deploying and managing containerized applications
• 1+ years of experience in understanding GitHub Actions for creating and maintaining CI/CD pipelines
• 1+ years of experience in proficiency in Python for scripting, automation, and tooling
• 1+ years of experience with Apache Kafka for building, maintaining, and troubleshooting message-driven systems
• 1+ years of experience using Prometheus and Grafana for monitoring and observability
• Basic level of knowledge of Terraform for infrastructure provisioning and management
• Familiarity with other cloud providers (e.g., AWS or Azure)
• Knowledge of Helm for Kubernetes package management
• Experience with debugging and optimizing distributed systems
• Exposure to security best practices for cloud infrastructure
• Knowledge of Java for developing and troubleshooting backend systems
• Familiarity with DataHub or similar data cataloging and metadata management platforms
• Understanding of Artificial Intelligence (AI) concepts and tools, such as building or managing machine learning pipelines, integrating AI models, or working with ML platforms like TensorFlow, PyTorch, or Vertex AI
• Experience with Golang for developing infrastructure tools or cloud-native applications

Benefits

• A comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution (all benefits are subject to eligibility requirements)

Company Overview