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CVS Health is looking for a Staff Software Development Engineer to drive technical strategy and execution within the Client Data Exchange Solutions (CDES) space. This individual will lead project teams across a broad and evolving technology landscape, spanning legacy IBMi AS400 systems, cloud platforms, and next‑generation agentic AI/ML frameworks. This high‑visibility role is ideal for a technical leader who thrives in cross‑functional environments and strategic problem solving. You will collaborate directly with senior business leaders, Product Managers, and Engineering teams to enable innovation, modernize platforms, and help shape our move toward AI‑driven capabilities. **We will consider remote US for the right candidate
Job Responsibility:
Shape and drive enterprise‑scale technical vision and long‑term architecture strategy, influencing outcomes across multiple teams and platforms
Establish, evolve, and champion technical standards, engineering best practices, and governance to ensure consistency, quality, and scalability across the organization
Serve as a trusted technical partner to Product, Architecture, and business stakeholders to solve complex, cross‑cutting problems and deliver durable solutions
Rapidly build deep domain expertise to provide strong technical direction, thought leadership, and guidance to senior engineers and technical leads
Tackle and decompose highly ambiguous and complex technical problems, translating them into actionable architectures and execution plans
Lead the design and delivery of complex distributed systems, including APIs, microservices, CI/CD pipelines, and real‑time streaming solutions on cloud platforms such as Azure and GCP
Provide hands‑on technical leadership across design and implementation, setting a high bar for code quality, scalability, reliability, and maintainability
Evaluate and introduce emerging technologies, architectural patterns, and frameworks to advance platform modernization and future‑ready capabilities
Lead AI/ML solution design and adoption for enterprise use cases, balancing innovation with reliability and integration across existing legacy systems
Guide model experimentation, training, evaluation, and optimization while accounting for architectural constraints and enterprise readiness
Own system quality end‑to‑end, overseeing design reviews, technical reviews, testing strategies, and production readiness to ensure resilient, high‑quality outcomes
Drive improvements in automated testing and quality engineering practices to reduce manual effort and increase delivery velocity across legacy and modern platforms
Contribute to and influence enterprise technical roadmaps, ensuring alignment with broader CVS Health modernization and AI initiatives
Define, refine, and maintain technology‑specific operating procedures and engineering playbooks to support scalable execution
Lead complex initiatives and actively mentor engineers, raising the technical bar and fostering a culture of ownership, learning, and engineering excellence
Requirements:
7+ years of experience in software/data product delivery, including designing and deploying production-ready systems
5+ years of experience in ETL/ELT development
5+ years enterprise/web/cloud applications software development experience on Azure/GCP
3+ years of experience with CI/CD tools (e.g., Jenkins)
Proficiency in modern programming languages (Java, Python, FastAPI, Go)
Experience with relational (PostgreSQL, Azure SQL) and NoSQL databases (Cosmos DB)
Experience with messaging systems (Apache Kafka, MQ)
3+ years of experience leading software development projects and mentoring developers
Experience leveraging AI‑assisted development tools (e.g., GitHub Copilot, Claude, Windsurf), reflecting advanced AI maturity and modern software engineering practices
Nice to have:
Strong grasp of software delivery practices and agile methodologies
Experience leading large-scale technical programs with end-to-end planning
Proven ability to make informed decisions quickly and take ownership of services at scale
Health care industry domain knowledge
Experience with legacy systems and technologies including iBMI(AS/400), DB2, RPG and COBOL