Jobs at Optum

Lead full-stack engineer developing micro-products and UIs on Azure using Java/Spring, React/Angular, and TypeScript. Work with Oracle/MySQL, support production deployments, and apply enterprise AI tools to streamline workflows and improve product delivery.

Design, implement and maintain complex software components and data architectures. Mentor engineers, lead code reviews, automate testing/deployment, choose refactors to reduce tech debt, collaborate with stakeholders to prioritize and define platform roadmaps, and apply cloud-native DevOps and AI/ML tools.

The Data Engineering Consultant will design and implement scalable data pipelines, develop data transformations using PySpark, optimize Databricks performance, and manage data orchestration and scheduling tools like Apache Airflow in the Azure ecosystem.

Lead endpoint engineering and operations for a dual UEM environment (MECM/SCCM + Intune). Own patching, client health, vulnerability remediation, OS deployment, automation with PowerShell, incident/ITSM participation, and pilot AI-assisted reliability improvements while ensuring security and compliance.

Implement, maintain, and support HL7 interfaces between customers and Optum integration platforms. Analyze requirements, design, build, test, document, deploy, and troubleshoot interfaces; perform maintenance, provider enrollments, validation, go-live support, and customer interaction. Participate in project meetings and on-call rotation.

Lead design, build, and operate reliable, scalable cloud platforms with SRE and DevOps practices. Implement CI/CD, IaC, observability, and AI-enabled operations (AIOps) for monitoring, automated remediation, incident response, and continuous improvement while partnering with engineering and security teams.

Design, build, and maintain full-stack applications and data pipelines. Develop backend services, APIs, and Snowflake SQL for data processing. Implement CI/CD (GitHub Actions/Jenkins), containerized deployments (Kubernetes), security best practices, and application governance. Leverage LLMs and generative AI to automate workflows, perform technical risk analysis, and translate data into visualizations and stakeholder reports.

Lead SRE responsible for administering enterprise-scale cloud infrastructure, managing Kubernetes workloads, implementing SRE practices (Terraform, CI/CD, observability), automating tooling with Python/JavaScript/Go, supporting cloud security, incident response, and centralized logging/monitoring for production applications.

Perform inpatient ICD-10-CM/PCS and DRG coding for hospital records, abstract additional chart data, ensure coding quality and productivity, follow AAPC/AHIMA and AHA guidelines, query providers as needed, maintain coding records, and comply with HIPAA and security policies.

The Principal Software Engineer will manage API Gateway platforms, ensuring scalability, security, and automation, while leveraging AI for operational efficiency and incident response.

Lead end-to-end UX strategy and execution for complex healthcare analytics products. Drive cross-functional collaboration, market analysis, AI-driven prototyping, accessibility and privacy compliance, scale UX standards, mentor designers, and support go-to-market product positioning and roadmaps.

Design, build, deploy, and support enterprise full stack applications. Develop Python microservices and scalable REST APIs, and modern React or Flutter UIs. Architect cloud solutions (AWS/Azure/hybrid), maintain CI/CD pipelines, implement secure-by-design practices, review AI-generated code, and mentor engineers to scale AI-assisted engineering practices.

Lead design, implementation, and operation of contact center and Genesys IVR systems; configure monitoring (Splunk, Zabbix, Grafana, Dynatrace); integrate AI-driven routing and analytics; manage CI/CD (Jenkins, GitHub Actions); support cloud and on-prem deployments; mentor engineers and participate in Agile processes.

Lead research and development in AI/ML, design scalable pipelines, implement models, and collaborate with cross-functional teams for optimal solutions.

Senior DevOps-focused software engineer responsible for designing, developing, and delivering cloud-native applications. Build and maintain AWS infrastructure with Terraform, create CI/CD pipelines using GitHub Actions, containerize apps with Docker, and write Python and Shell automation and tests. Collaborate across distributed teams and drive operational excellence and continuous improvement.

Design, build, test, deploy, and maintain scalable Azure-based data pipelines and integrations for healthcare analytics. Lead data acquisition, ETL/ELT transformations, data quality detection and remediation, monitoring, documentation, and collaboration with analytics teams to enable BI and advanced analytics while ensuring security and reliability.

Provide hands-on technical leadership defining architecture and building scalable, secure, cloud-native enterprise applications and data platforms. Design distributed systems, microservices, APIs, and event-driven solutions; implement cloud (AWS/Azure), Kubernetes, CI/CD, and IaC; use AI-assisted development tools; mentor engineers and drive technology modernization and engineering best practices.

Design, develop, and maintain full-stack, AI-enabled applications using cloud-native technologies. Integrate ML models, implement APIs and IaC, optimize cloud infrastructure, build CI/CD pipelines, ensure security and scalability, troubleshoot production issues, mentor junior engineers, and collaborate with cross-functional teams.

Lead design, develop, and maintain full-stack, cloud-native applications and APIs. Integrate and deploy AI/ML models, manage IaC (Terraform), optimize cloud infrastructure, ensure security and CI/CD, mentor junior engineers, and support incident response and on-call duties.

Lead and manage software engineering teams while ensuring code quality and timely delivery of enterprise-grade applications, providing technical oversight and mentorship.