Jobs at Optum

Analyze and resolve user tickets, profile source systems, design ETL mappings, develop and support ETL pipelines in Azure (ADF/Databricks), perform SQL performance tuning, create test cases and technical documentation, lead and mentor the team, and apply AI/ML techniques to accelerate the SDLC.

Design, build, and operate cloud-native DevOps/SRE solutions on Azure. Implement CI/CD, IaC (Terraform/Bicep/ARM), containerization (Docker, AKS), GitOps, observability, security, automation (Python/PowerShell), cost management, and runbooks to ensure reliable, secure deployments and incident response.

Design and implement AI-first automated quality strategies for cloud-deployed distributed systems. Build and maintain Playwright-based UI, visual, unit, integration, and E2E automation. Use AI tools and spec-driven approaches to generate tests, explore edge cases, and integrate stable automation into CI/CD. Partner with engineering teams to identify quality risks, validate performance and resilience, and ensure reliable releases across AWS, GCP, and Azure.

Design, build, and operate scalable, cloud-native data pipelines, platforms, and production backend services. Implement data models, orchestration (e.g., Airflow), CI/CD, and IaC practices. Ensure reliability, performance, monitoring, and mentor junior engineers while collaborating on architecture and deployments.

Lead a full stack development team focusing on Java and Angular. Provide technical support, drive quality, and optimize workflows while understanding user needs and end-user pain points.

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.

Design, develop, and execute performance tests (UI, Batch, API) using JMeter/LoadRunner; analyze metrics with Dynatrace, Grafana, Splunk; tune databases (MongoDB, Oracle, SQL); test distributed systems (Kafka, Azure Event Hubs); collaborate with dev teams to identify bottlenecks and implement performance improvements.

Perform high-level coding reviews for ED and E/M outpatient/inpatient encounters; ensure accurate CPT/ICD-10-CM/HCPCS coding and payer/NCCI compliance; participate in audits; provide feedback, training, and SME input for system improvements and automation; collaborate with compliance and cross-functional teams.

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.

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.

Lead research and engineering of cutting-edge AI models, fine-tune LLMs, design agentic systems, prototype novel algorithms, optimize training pipelines, benchmark and deploy scalable RAG-powered solutions, ensure ethical AI practices, and mentor junior researchers while integrating AI into production products.

Lead and mentor a software engineering team delivering cloud-native platforms using .NET, React, and Python. Drive architecture, design, CI/CD automation, technical debt reduction, stakeholder prioritization, and roadmap planning while ensuring maintainable, testable, and performant solutions.

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

Design, prototype, and benchmark advanced AI/ML algorithms and agentic systems; optimize large-scale training pipelines; integrate generative AI, RAG, and Azure OpenAI solutions into production; collaborate with cross-functional teams; ensure ethical, interpretable, and robust model deployment.

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, 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 Senior Software Engineer II will implement features, perform code reviews, ensure integration, and troubleshoot complex issues in a collaborative environment.

Lead and operate enterprise-scale cloud infrastructure and SaaS/PaaS production systems. Manage Kubernetes workloads, implement SRE best practices (Terraform, CI/CD, observability, incident response), automate with Python/JavaScript/Go, apply cloud security measures, and leverage AI-Ops tools for operations and analysis.

Senior SRE responsible for administering enterprise-scale SaaS/PaaS cloud infrastructure, managing Kubernetes workloads, applying SRE principles (CI/CD, Terraform, observability), automating with Python/JavaScript/Go, ensuring cloud security, and leveraging AI-Ops tools for operations and incident response.

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.