Software Engineer Lead - Devops and Platform with Azure Databricks

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. Overview We are requesting a new senior-level position to support the expansion of the RCM Common Data Platform, with a strong focus on AIdriven agentic workflows. The role is vital to scaling platform capabilities, supporting new product/enhancement work, replatforming initiatives, and strengthening cloud infrastructure, DevOps automation, and AI-enabled data processes. Business Risk if Not Filled 20% reduction in development capacity, significantly impacting timelinesInability to meet business demand, affecting revenue growth and modernization plansReduced ability to support AI initiatives, platform migration efforts, and secure cloud operations Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. The roles in this function will cover all primary development activity across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product roadmaps. These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery. With every role in the company, each position has a requirement for building quality into every output. This also includes evaluating new tools, new techniques, strategies; Automation of common tasks; build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways. Primary Responsibilities: Serve as a Senior DevOps/ Platform/AI ML Engineer within a cross-functional engineering teamSupport data ingestion, transformation, and automation within Azure DatabricksBuild and maintain CI/CD pipelines using GitHub Actions for Terraform deployments, Azure resource provisioning, and application workflowsDevelop, automate, and maintain cloud infrastructure using Terraform and GitHub ActionsImplement and monitor secure configurations, resolve vulnerabilities, and ensure compliance across cloud and onprem environmentsManage and enhance networking including VNet peering, DNS, Front Door, load balancers, and firewall configurationsBuild and manage data pipelines using Azure Data Factory, Airflow, Terraform, and SparkImplement Identity and Access Management, security controls, and cloud governanceIntegrate AI/ML pipelines and enable AIdriven automation across the SDLCSupport platform modernization, replatforming, and enhancement initiativesAnalyzes and investigatesProvides explanations and interpretations within area of expertiseDesign, 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-makingComply 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 soRequired Qualifications: 5+ years experience in DevOps engineering5+ years hands-on experience with Azure Cloud, Databricks, and SparkExperience working in Agile/Scrum teamsProven experience integrating AI/ML processes into cloud and DevOps workflowsSolid expertise in:GitHub ActionsDevOpsTerraformCloud networkingSecurity vulnerability remediationAzure DatabricksAgentic workflow, AI/MLSolid experience in:VNet peeringDNS configurationAzure Front DoorSubnets, Load Balancers, firewallsData and AIAzure Databricks:Data modelsData managementAccess managementAutomation using AIExperience in PySpark, SQLBuilding data ingestion frameworksAIdriven insights and development/deployment of AI agentsExperience leveraging AI in the SDLC (AI-assisted coding, reviews Optu