Jobs at Optum

Designs and implements complex data-processing pipelines and software solutions in collaboration with business and product teams. Responsibilities include clarifying requirements, creating technical designs, contributing to platform and product quality, conducting code reviews, testing, onboarding engineers, and working in Agile environments. The role requires experience with Big Data technologies, databases, cloud platforms, AI tools, Python, GitHub, object-oriented design, and software development principles.

Provide L1-L3 production support for enterprise MongoDB Atlas environments, including monitoring, scaling, backups, upgrades, performance tuning, security, networking, disaster recovery, and incident resolution. Build Terraform-based infrastructure automation, support multi-cloud deployments across Azure, AWS, and GCP, partner with application and engineering teams, coordinate vendor escalations, and participate in 24/7 on-call coverage.

Leads coding quality operations, personnel performance, client relationships, audits, compliance, reporting, process improvement, budgeting, and retention initiatives. Reviews coding and billing requirements, monitors KPIs, coaches team members, identifies training needs, resolves operational issues, and supports management planning. Requires extensive medical coding experience, coding certification, healthcare reimbursement knowledge, and leadership experience.

Owns end-to-end delivery governance for technical workstreams, including timelines, scope, milestones, dependencies, risks, blockers, and stakeholder reporting. Drives delivery improvements through metrics such as velocity, throughput, and defects while coordinating Product, Business Analysis, Engineering, distributed teams, and vendors. Requires strong project management, Agile, planning, risk management, communication, and multitasking skills, along with experience leading IT delivery, data engineering, or analytics programs.

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.

Designs and manages secure, governed Azure and AWS cloud infrastructure, including IAM, networking, disaster recovery, Kubernetes, CI/CD, infrastructure as code, monitoring, and reliability. The role also develops MLOps and LLMOps capabilities such as model deployment, versioning, observability, AI security, governance, retraining, and cost optimization. It supports hybrid-cloud architectures, automation, compliance, and responsible AI practices.

Develop and support full-stack micro products on Azure using React, Angular, Spring, Java, and TypeScript. Build user interfaces, work with Oracle and MySQL databases, support production deployments, and use enterprise-approved AI tools to improve productivity and automate workflows. The role requires independent software engineering, testing, debugging, maintenance, documentation, and continuous evaluation of tools and techniques.

Manages healthcare accounts receivable by reviewing outstanding insurance balances, analyzing EOBs and claim denials, coordinating with payers, patients, and clients, and resolving payment issues. Tracks trends affecting denial rates and aging, recommends process improvements, completes workflows within quality and turnaround-time standards, and follows HIPAA, company policies, and revenue-cycle procedures.

Design end-to-end traditional, conversational, and agentic search experiences across web and mobile. Create accessible interfaces for search results, AI-generated outputs, structured data, conversational flows, edge cases, and agent actions. Build Figma components and prototypes, partner with product, engineering, research, and design systems teams, validate designs through testing and metrics, present design rationale, and mentor junior designers.

Build, test, deploy, operate, and improve software services, APIs, applications, integrations, and automation within an AI-enabled delivery pod. Use specification-driven development and approved AI coding tools to produce secure, maintainable software while validating AI-generated output. Develop comprehensive automated tests, integrate quality and security checks into CI/CD, establish observability and resilience, collaborate with cross-functional stakeholders, and continuously improve engineering quality, delivery speed, reliability, and production support.

Lead the design, implementation, and operation of AI Ops and SRE solutions in public cloud environments. Build RAG pipelines, agentic workflows, and AI-powered enterprise applications; automate infrastructure with Terraform and GitHub Actions; manage Kubernetes; lead incident response; ensure reliability, scalability, and performance; establish AI evaluation and monitoring frameworks; and mentor engineering teams.

Develop and operate reliable cloud infrastructure and applications, automate cloud operations and deployments, implement infrastructure procedures, and provide 24/7 rotating on-call support. The role requires enterprise cloud administration across public-cloud platforms, programming, CI/CD, Kubernetes or Terraform experience, and knowledge of cloud security, networking, monitoring, logging, and Linux/Windows systems.

Design, develop, test, deploy, monitor, and maintain secure, scalable software components and services. Own complex features end to end, shape architecture and APIs, implement CI/CD and quality automation, diagnose production issues, and improve observability and reliability. Lead risk-based testing across multiple levels, apply governed AI-assisted development, integrate LLM and agentic capabilities where valuable, mentor engineers, conduct technical reviews, and promote engineering standards and continuous delivery improvements.

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 ETL and data warehouse testing efforts using SQL, Python, automation frameworks and AI-assisted tools. Validate ETL/ELT processes, perform data reconciliation and lineage analysis, develop automated test frameworks, integrate tests into CI/CD, mentor junior QA, and collaborate with engineers to resolve defects and improve data quality.

Audit medical records using ICD-10 and CPT, ensure HIPAA compliance, identify and report coding discrepancies, provide detailed feedback and training to coders, analyze error trends, lead calibration sessions, review rebuttals, and report malpractices while meeting quality and productivity standards.

Design, build, and operate scalable cloud-native data pipelines, platforms, and production services. Implement data modeling, orchestration, CI/CD, and IaC. Develop AI/LLM agent solutions, RAG, and prompt-engineered workflows. Ensure reliability, performance optimization, monitoring, and mentor junior engineers.

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.

Design, develop, test, deploy, monitor, and maintain full-stack production software using Java, Python, APIs, services, data workflows, and cloud-native components. Build automated testing and CI/CD quality gates, apply secure and maintainable engineering practices, improve observability and operational reliability, modernize legacy systems, and collaborate across product, architecture, security, data, and operations teams. Use approved AI-assisted development tools responsibly throughout the software delivery lifecycle.