Data Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The role of Data Engineer involves building and integrating AI-powered agents, managing cloud infrastructure, and ensuring the reliability of production systems. The position requires collaboration across teams to operationalize AI solutions and improve health outcomes.

Responsibilities:

• Solid working knowledge of Docker and end-to-end container lifecycle management across development, test, and production environments
• Proficient in writing and maintaining YAML configurations; hands-on experience with GitHub Actions for CI/CD pipeline creation and management
• Extensive experience using Terraform for Infrastructure as Code (IaC) to provision, configure, and manage cloud infrastructure
• Experience with monitoring and logging tools such as Dynatrace, Splunk, or equivalent observability platforms
• Proven ability to troubleshoot and resolve production issues, including participation in and ownership of P1 / critical incident management
• Strong understanding of Azure cloud networking, including VNets, subnets, Network Security Groups (NSGs), and private endpoints

Requirements:

• 1+ years of hands-on experience in building or integrating AI-powered agents or chatbots for DevOps, operations, or platform automation use cases
• 1+ years of strong hands-on experience with Python programming, CI/CD, Azure or similar cloud knowledge
• Solid working knowledge of Docker and end-to-end container lifecycle management across development, test, and production environments
• Proficient in writing and maintaining YAML configurations; hands-on experience with GitHub Actions for CI/CD pipeline creation and management
• Extensive experience using Terraform for Infrastructure as Code (IaC) to provision, configure, and manage cloud infrastructure
• Experience with monitoring and logging tools such as Dynatrace, Splunk, or equivalent observability platforms
• Proven ability to troubleshoot and resolve production issues, including participation in and ownership of P1 / critical incident management
• Strong understanding of Azure cloud networking, including VNets, subnets, Network Security Groups (NSGs), and private endpoints
• Familiarity with AI agent frameworks or low-code/no-code agent builders (e.g., internal AI platforms, Azure OpenAI-based agents, LangChain-style orchestration, or similar tools)
• Experience integrating AI agents with CI/CD pipelines, monitoring systems, ticketing tools, or operational workflows to enable automation, self-service, or intelligent insights
• Understanding of prompt design, API integration, and secure handling of AI services in enterprise environments
• Ability to operationalize AI solutions with observability, security, and governance considerations
• Exposure to DevSecOps, compliance, and security controls in cloud-native environments
• Experience supporting enterprise-scale, business-critical platforms
• Strong collaboration skills across engineering, security, and operations team