Senior Engineering Manager

CVS Health•Hartford, CT

3d•$130,295 - $260,590

About The Position

CVS Health’s Aetna Digital organization is seeking a technically strong, people-focused Senior Engineering Manager to lead multiple teams building and operating the backend services and APIs behind core digital health experiences. The role manages approximately 10–12 software engineers and is accountable for delivering scalable, secure, and resilient platform capabilities supporting millions of member interactions. Working within Aetna Digital’s product operating model, the manager partners with Product Management, Architecture, Experience, Security, and Enterprise stakeholders to develop and execute technology roadmaps that deliver business and customer value. The role combines engineering leadership and people development with technical direction, product delivery, operational reliability, and adoption of emerging AI capabilities for member experiences and engineering productivity.

Requirements

At least 7 years of software engineering experience building enterprise-grade applications and services.
At least 3 years of engineering management experience leading software development teams.
At least 3 years of experience with Node.js, Java, or Spring Boot.
At least 3 years of experience designing, building, and operating cloud-native applications in AWS, GCP, or Azure.
Bachelor’s degree or equivalent experience (high school diploma plus 4 years of relevant experience).

Nice To Haves

Experience leading backend engineering teams responsible for APIs, microservices, and distributed systems.
Demonstrated success delivering large-scale technology initiatives in partnership with Product and business stakeholders.
Experience driving engineering excellence initiatives, including CI/CD, automated testing, observability, reliability, and operational maturity.
Strong communication, collaboration, and stakeholder management skills.
Experience building high-performing teams through coaching, hiring, mentoring, and performance management.
Experience with API gateway platforms, service mesh technologies, and modern integration frameworks.
Expertise in microservices architecture, containerization, Kubernetes, and cloud platform services.
Experience managing production support models, incident response processes, and on-call organizations.
Experience leveraging Generative AI, AI-assisted coding platforms, agentic workflows, or AI-powered developer tools within software engineering organizations.
Experience partnering with architecture organizations to define enterprise standards and technology strategies.

Responsibilities

Lead, coach, and develop a team of 10–12 software engineers, fostering accountability, innovation, collaboration, and continuous learning.
Build engineering excellence through mentorship, technical coaching, feedback, and career development planning.
Drive workforce planning, hiring, succession planning, performance management, and organizational growth initiatives.
Foster an inclusive team culture that attracts and retains engineering talent.
Provide technical leadership for the design, development, deployment, and operation of cloud-native backend services and APIs.
Establish and enforce API design standards, engineering best practices, architecture principles, and operational excellence frameworks.
Partner with architects and senior engineers to define scalable, secure, resilient, and maintainable solutions aligned with enterprise technology strategy.
Lead architectural reviews and technical decisions, ensuring solutions meet performance, reliability, compliance, and security requirements.
Drive modernization initiatives that reduce technical debt and improve scalability, maintainability, and developer velocity.
Partner with Product Managers and business stakeholders to turn product vision into engineering roadmaps and delivery plans.
Support predictable delivery through planning, prioritization, dependency management, and risk mitigation.
Communicate technical strategies, tradeoffs, progress, and business impacts to technical and non-technical audiences.
Build alignment and execution across Product, Architecture, Security, Enterprise Technology, and Operations teams.
Improve engineering practices involving CI/CD, automated testing, code quality, observability, reliability, security, and platform performance.
Promote DevOps and Site Reliability Engineering principles, including monitoring, incident management, root cause analysis, and continuous improvement.
Ensure systems meet standards for availability, scalability, compliance, and operational resilience.
Use metrics and engineering KPIs to improve delivery effectiveness, software quality, and customer outcomes.
Champion AI-enabled engineering practices to improve developer productivity, software quality, operational efficiency, and delivery speed.
Identify opportunities to incorporate AI-powered capabilities into digital experiences to improve member engagement and personalization.
Stay current with emerging technologies, platforms, and industry trends and bring relevant ideas to Aetna Digital’s technology roadmap.