We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
The Senior Software Engineer will lead the design, development, testing, deployment, and ongoing support of enterprise-grade software applications. This role requires advanced full-stack engineering experience, strong backend and cloud architecture skills, and the ability to deliver scalable, secure, AI-enabled solutions in collaboration with product, business, and engineering stakeholders.
Design, develop, enhance, and maintain enterprise software applications using Python, TypeScript/JavaScript, React, and modern backend frameworks.
Architect, build, and operate RESTful APIs and microservices that support scalable, production-grade business capabilities.
Apply microservice architecture patterns, including service decomposition, inter-service communication, API gateway patterns, and event-driven design.
Design reliable data models and optimize relational database solutions using PostgreSQL; evaluate NoSQL and vector database options where appropriate.
Implement secure application patterns, including authentication, authorization, input validation, rate limiting, and secrets management.
Own containerized deployment practices using Docker, Kubernetes, and GKE, including production-readiness and operational support.
Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or comparable platforms.
Lead practical integration of LLMs into production applications, including prompt engineering, retrieval-augmented generation, embeddings, and model evaluation practices.
Mentor engineers, guide technical delivery, and partner with business stakeholders to translate requirements into effective technical solutions.
Required Qualifications
8+ years of software development experience in enterprise-scale or production environments.
Strong proficiency in Python and TypeScript/JavaScript; experience with Java is preferred.
Demonstrated full-stack development capability, including React with TypeScript on the frontend and FastAPI, Spring Boot, or comparable backend frameworks.
Proven experience designing, developing, and operating RESTful APIs and microservices at scale.
Strong understanding of microservice architecture patterns, including service decomposition, inter-service communication using REST, gRPC, or message queues, and API gateway patterns.
Experience implementing event-driven architectures and asynchronous messaging platforms such as Kafka, Pub/Sub, or similar technologies.
Hands-on database design experience with PostgreSQL, including relational schema design and query optimization; exposure to NoSQL or vector databases is preferred.
Working knowledge of authentication and authorization patterns, including OAuth2, JWT, and role-based access control.
Strong understanding of API security best practices, including input validation, rate limiting, and secrets management.
Experience with Docker and Kubernetes/GKE for containerization and orchestration.
Experience with CI/CD pipelines using GitHub Actions, Jenkins, or similar platforms, including ownership of the full pipeline lifecycle.
Hands-on Google Cloud Platform experience with GKE, Cloud Functions, BigQuery, and related services; Azure experience is a plus.
Experience working in Agile/Scrum development environments.
Preferred Qualifications
2+ years of hands-on experience integrating large language models into production applications.
Practical experience with prompt engineering, retrieval-augmented generation (RAG), and embeddings; familiarity with fine-tuning and model evaluation is preferred.
Experience with the Anthropic Claude platform, including API usage and Claude Code, or comparable platforms such as OpenAI or Gemini.
Familiarity with agentic AI patterns and multi-step reasoning workflows.
Experience building or configuring Model Context Protocol (MCP) servers is strongly preferred.
Familiarity with logging, tracing, and monitoring practices, including structured logging and distributed tracing.
Education
Bachelor's degree preferred/specialized training/relevant professional qualification.
Pay Range
The typical pay range for this role is:
€50,000.00 - €125,000.00Job details are sourced from the employer's original posting.
Open job postingAbout the company
A technology company operating in Ireland.