Jobs at Optum

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.

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.

Manage a team of 20-25 coding analysts to meet daily/weekly productivity and quality standards. Track production, analyze quality/error trends, identify root causes, develop and manage improvement plans, conduct evaluations, identify and deliver training, and coordinate with management to resolve workflow issues.

Design, build, and deploy micro‑products on Azure using React/Angular frontends and Spring/Java backends. Work with TypeScript, Oracle/MySQL, support production deployments, troubleshoot root causes, and improve overall software quality.

Lead and manage a medical coding team to ensure coding accuracy, productivity, quality, compliance, and timely turnaround. Oversee client relationships, audits, KPI reporting, process improvements, coaching, retention strategies, and budget planning.

Design, build, test, deploy, and support HL7 interfaces and integration solutions. Analyze exchange requirements, troubleshoot interfaces, document work, participate in project calls, handle go-lives, and perform ongoing maintenance and provider enrollments. Provide on-call support in a 24/7 environment.

Support product and delivery teams by defining features, user stories, and acceptance criteria; manage backlogs in Rally; lead discovery, grooming, PI planning and design reviews; coordinate cross-functional teams for production issues, regulatory readiness, and EPS O&M; produce release documentation and act as SME for pharmacy-related product functionality.

Own and manage feature, O&M, and defect backlogs; translate business requirements into user stories and acceptance criteria; lead discovery, grooming, and design review meetings; coordinate with engineering, technical writers, and customers to drive sprint execution and deliver customer-sponsored initiatives; document process flows, prototypes, release notes, and help guides; act as SME for internal and customer queries, testing, and training knowledge transfer.

Design, build, and operate production-grade GenAI/LLM systems: RAG pipelines, agentic multi-agent orchestration, vector DBs, LLM integrations, observability, PII redaction, and deployment using AWS Bedrock, FastAPI, Docker and monitoring tools. Collaborate on architecture docs and CI/AI evaluation frameworks.

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.

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.

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 AI/ML engineering vision and roadmap for healthcare and life sciences. Oversee multiple client engagements, design and deploy scalable production-grade AI solutions (ML, NLP, deep learning, computer vision, LLMs), ensure regulatory readiness, responsible AI practices, and drive adoption and value realization while managing executive client relationships and expanding AI adoption.