Jobs at Optum

Leads enterprise software design, development, architecture, deployment, and production support using Trizetto Facets, SQL, Python, or Java. Drives REST APIs, microservices, cloud adoption, CI/CD, DevOps, security, reliability, and AI/ML initiatives. Provides technical leadership, stakeholder collaboration, mentoring, code reviews, architecture ownership, root-cause analysis, and continuous improvement across large-scale healthcare applications.

Develop full-stack applications using React or Flutter and Python microservices, integrate AI technologies, manage databases, implement security, and build AWS CI/CD infrastructure. Ensure adherence to the AWS Well-Architected Framework across scalability, reliability, performance, and cost optimization. Collaborate with cross-functional teams, own the application lifecycle, and mentor junior engineers.

Own the strategy, roadmap, service model, and investment priorities for an enterprise AI runtime and agentic platform. Productize GPU compute, Kubernetes, model serving, inference, agent orchestration, lifecycle management, APIs, observability, and developer self-service across private, public, and hybrid clouds. Partner with engineering, cloud, security, governance, architecture, and compliance leaders to improve platform reliability, utilization, adoption, cost efficiency, and developer experience. Influence senior stakeholders and translate complex infrastructure capabilities into consumable enterprise services.

Designs and develops enterprise-scale Java and Spring Boot microservices, REST APIs, event-driven processors, and Camunda-integrated workflows. Manages CI/CD, testing, deployments, monitoring, incident resolution, performance tuning, and cloud integrations. Collaborates with architects, QA, DevOps, and business stakeholders while providing technical guidance and mentorship. Requires strong distributed systems, messaging, Agile, and enterprise automation experience, with opportunities to build AI-powered solutions.

Designs and develops software applications and components while supporting scalable, reliable production systems. Builds AWS cloud infrastructure with Terraform, develops GitHub Actions CI/CD pipelines, and deploys Dockerized applications. Uses Python and Shell scripting for automation, operational tooling, and testing. Responsibilities include code reviews, unit and integration testing, performance validation, agile collaboration, continuous improvement, and mentoring across distributed engineering teams.

Leads engineering delivery for enterprise conversational AI platforms, including chatbots and voice bots. Oversees Agile execution, technical architecture, cloud-native development, CI/CD, Terraform, DevSecOps, Responsible AI, and AI adoption. Partners with product, security, architecture, and business stakeholders while managing risks and dependencies. Mentors engineers and technical leads, supports hiring and performance management, and ensures scalable, secure, compliant, and operationally excellent solutions.

Lead end-to-end delivery of enterprise conversational AI platforms, including chatbots, voice bots, and virtual assistants. Design scalable cloud-native solutions using Amazon Lex, Dialogflow, CI/CD, Terraform, and responsible AI practices. Drive Agile execution, stakeholder alignment, operational excellence, and AI adoption while mentoring engineers and technical leads. Partner with product, architecture, security, and business teams to deliver secure, compliant, and innovative AI solutions.

Owns the architecture, engineering standards, and technology roadmap for a secure healthcare data platform across AWS, Azure, and Databricks. Designs ingestion, lakehouse, interoperability, governance, privacy, analytics, and operational reporting solutions. Establishes standards for Spark, Python, SQL, data quality, observability, metadata, CI/CD, infrastructure as code, and disaster recovery. Leads healthcare data interoperability, security architecture, proofs of concept, performance assessments, technical roadmaps, and executive decision support.

Design user-centered experiences for a healthcare analytics and AI platform. Create wireframes, prototypes, high-fidelity designs, dashboards, data visualizations, and conversational AI experiences. Conduct user research and usability testing, translate complex healthcare data into actionable insights, and collaborate with Product, Engineering, Data Science, and business stakeholders throughout iterative development cycles.

Lead software engineering for distributed systems within United AI Studio. Responsibilities include designing, implementing, testing, deploying, and operating software; conducting code reviews; solving complex problems; mentoring engineers; and collaborating across teams. Required experience includes Java with Spring Boot, REST APIs, Python, cloud platforms, service-oriented development, software development lifecycle practices, and strong computer science fundamentals. Preferred experience includes databases, Terraform, CI/CD infrastructure, distributed teams, architecture, and AI/ML projects.

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.

Design and maintain scalable ETL/ELT pipelines, data warehouses, and big data infrastructure. Optimize databases and workflows, implement data quality and governance frameworks, automate testing and deployment, troubleshoot complex data issues, and ensure reliable systems. Collaborate with data scientists, analysts, and business teams to support analytics and machine learning. Mentor junior engineers and establish data engineering best practices.

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.

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.

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.