Lead Site Reliability Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• 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

• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Graduation degree
• Hands-on experience with Kubernetes for deploying and managing containerized applications
• Experience with Apache Kafka for building, maintaining, and troubleshooting message-driven systems
• Experience using Prometheus and Grafana for monitoring and observability
• Basic to intermediate knowledge of Terraform for infrastructure provisioning and management
• Familiarity with Google Cloud Platform (GCP) services such as Compute Engine, Kubernetes Engine, and Cloud Storage.
• Understanding of GitHub Actions for creating and maintaining CI/CD pipelines
• Proficiency in Python for scripting, automation, and tooling
• Proven solid problem-solving skills and an eagerness to learn new technologies
• Proven excellent communication and teamwork skills

Preferred Qualifications:

• Experience with debugging and optimizing distributed systems
• Experience with Golang for developing infrastructure tools or cloud-native applications
• Knowledge of Helm for Kubernetes package management
• Knowledge of Java for developing and troubleshooting backend systems
• Familiarity with other cloud providers (e.g., AWS or Azure)
• 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
• Proven exposure to security best practices for cloud infrastructure