Staff Software Development Engineer – Cloud & AI

Role Overview

• 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.

Tech Stack

• Apache
• Azure
• Cloud
• Distributed Systems
• ETL
• Google Cloud Platform
• Java
• Jenkins
• Kafka
• Microservices
• NoSQL
• Postgres
• Python
• SQL
• Go

Benefits

• medical, dental, and vision coverage
• paid time off
• retirement savings options
• wellness programs
• other resources, based on eligibility