Lead Full Stack Engineer
Indexed description
Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin office and telecommuting from a home-based office in a hybrid work model.
Primary Responsibilities
- Lead the design, development, and deployment of backend services and APIs that power AI/ML and GenAI pipelines, with a focus on scalability, reliability, and deterministic behaviour in production systems
- Architect and implement API-first, microservice-based platforms using Node.js (TypeScript) and Python to support model inference, orchestration, retrieval (RAG), and decision workflows
- Build and maintain AI pipeline infrastructure, including model execution services, prompt orchestration, feature extraction, and integration with vector databases and data platforms
- Design and implement integrations with Electronic Health Record (EHR) systems using FHIR standards, enabling secure, auditable exchange of clinical data to support AI-driven use cases
- Develop and enforce FHIR-compliant APIs, validation layers, and data transformation services to ensure interoperability, data quality, and guideline-aligned behaviour across clinical workflows
- Collaborate closely with data science, clinical informatics, product, and platform teams to translate clinical and business requirements into robust backend architectures supporting AI-enabled applications
- Implement and maintain infrastructure as code (IaC) and CI/CD pipelines to enable secure, scalable, and repeatable deployments of AI backend services across environments
- Ensure high availability, performance, observability, privacy, and security of backend systems, including appropriate handling of PHI and alignment with healthcare compliance requirements
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related technical field, or equivalent practical experience
- Proven extensive experience in professional software engineering, including full stack application development
- Demonstrated solid experience in backend technologies such as Java, Spring Boot, Python, or Node.js with TypeScript
- Proven experience building and maintaining APIs, microservices, or distributed systems
- Demonstrated solid experience in frontend engineering using React or Angular and TypeScript
- Proven experience working with cloud platforms such as Azure or AWS
- Proven experience with containerization and orchestration technologies, including Docker, Kubernetes, or AKS
- Proven experience working with CI/CD pipelines, Git based workflows, build automation, and release engineering
- Demonstrated experience working with integration standards such as FHIR, HL7, SSO, JWT, or SAML
- Proven experience mentoring engineers, providing technical guidance, and raising engineering standards across a team
- Proven experience working with healthcare platforms, healthcare data, or healthcare workflow modernization
- Proven experience in AI or LLM application development, evaluation, or operationalization
- Demonstrated experience working with RAG pipelines, tool calling, prompt regression testing, or agent orchestration frameworks
- Proven experience with modern frontend development, including React 18, streaming UI patterns, Storybook, and component driven development
- Proven experience with test automation frameworks such as Jest, Cypress, pytest, or Playwright
- Proven experience mentoring engineers and influencing engineering best practices
- Proven experience working with infrastructure as code, including Terraform or comparable tooling
- Demonstrated experience working with tools and libraries such as Pydantic, LangChain, LangGraph, vector stores, embeddings, and prompt or version management
- Proven experience leading a team, coaching engineers, or serving as a primary technical point of contact for delivery
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