Senior Manager Software Development Engineering Modernization

Senior Manager Modernization

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.

The Senior Manager Modernization will lead Integration Engineering Platform modernizations by transforming legacy applications into scalable, cloud-native solutions using AI-assisted, automation-first approaches. The role drives end-to-end initiatives including certificate management, refactoring, re-platforming, and microservices decomposition, leveraging GenAI for code analysis, dependency mapping, and accelerated migration. It ensures modernization improves scalability, resilience, performance, and cost efficiency while aligning with enterprise standards. The function embeds automation and AI across the SDLC to enhance speed, quality, and reduce technical debt.

It also advances AIOps, observability, and operational stability, delivering resilient systems and measurable business value through sustained modernization outcomes.

• Lead and manage software development teams modernizing legacy applications using AI‑assisted and automation‑driven workflows
• Manage the Work Intake from Business teams and ensure timely delivery of projects that will meet their business needs
• Own end‑to‑end delivery of modernization initiatives, including re‑platforming, re‑factoring, strangler patterns, and selective rewrites, accelerated through automation
• Drive predictable, high‑quality delivery using Agile and Dev Ops practices enhanced with automated pipelines and AI insights
• Ensure modernization outcomes improve scalability, resiliency, performance, and developer productivity
• Define and execute AI‑driven modernization strategies, including:
• GenAI‑assisted code analysis, refactoring, and documentation.
• Automated dependency discovery and application decomposition.
• AI‑supported framework upgrades and language modernization.
• Leverage automation and AI tools to accelerate migration of legacy middleware, batch, and monolithic applications to cloud‑native and microservices architectures
• Apply intelligent testing and validation techniques to reduce regression risk during large‑scale transformations
• Partner with architecture and platform teams to ensure AI usage aligns with enterprise standards, security, and governance
• Lead adoption of modern platforms across Azure, AWS, and GCP
• Promote API‑first and event‑driven designs enhanced by automation for provisioning, scaling, and deployment
• Drive pipeline automation to standardize cloud environments and reduce manual effort
• Manage the Software footprint with Security & Compliance upgrades and Framework updates
• Ensure new solutions meet enterprise requirements for security, compliance, performance, and cost optimization
• Champion automation across the SDLC, including build, test, deployment, and runtime operations
• Collaborate with SRE and operations teams to introduce A IOps capabilities for proactive monitoring, anomaly detection, and faster incident resolution
• Improve observability using AI‑driven insights across logs, metrics, and traces
• Ensure modernization efforts improve production stability and operational resilience
• Partner with product owners and business leaders to align AI‑driven modernization roadmaps with enterprise priorities
• Communicate progress, risks, and outcomes using metrics, KPIs, and automation‑derived insights
• Balance speed of delivery with risk management in highly regulated environments
• Support budgeting, capacity planning, and vendor execution related to modernization and automation initiatives
• Build and lead high‑performing teams skilled in cloud engineering, integration, AI‑assisted development, and automation
• Coach engineers and tech leads on modern engineering practices and responsible AI usage
• Drive skills transformation through upskilling plans focused on cloud, automation, and AI…