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CVS Health
Hartford, Connecticut, United States
(on-site)
Posted
1 day ago
CVS Health
Hartford, Connecticut, United States
(on-site)
Job Type
Full-Time
Industry
Other
Job Function
Other
Senior Engineering Manager
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Senior Engineering Manager
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
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.CVS Health is seeking an Engineering Manager to lead a team supporting the modernization of Supplemental Benefits engineering capabilities. This role will be responsible for driving engineering execution, developing colleagues, and advancing cloud-native architecture and AI adoption across the team's platforms, products, and workflows.
The ideal candidate brings strong people leadership, hands-on technical judgment, and experience with Google Cloud Platform (GCP) and related technologies. This leader will partner across product, architecture, security, data, and engineering teams to deliver scalable, reliable solutions and help shape how AI is applied in practical, responsible, and high-value ways.
Key Responsibilities
- Lead, coach, and develop an engineering team supporting Supplemental Benefits platforms and products
- Drive modernization of applications, services, and engineering workflows using Google Cloud Platform and related technologies
- Partner with cross-functional stakeholders to define technical strategy, delivery priorities, and architectural direction
- Identify and implement opportunities to accelerate AI adoption across engineering practices, platform capabilities, and product experiences
- Improve system scalability, reliability, observability, and operational excellence
- Guide engineering teams in building secure, resilient, and maintainable cloud-native solutions
- Establish strong execution discipline across planning, delivery, issue resolution, and continuous improvement
- Translate technical concepts, tradeoffs, and risks into clear communication for leadership and business partners
- Support the development of reusable engineering patterns and solutions that can scale across teams
- Foster an inclusive, accountable, and high-performing team environment
Leadership Expectations
- Build strong teams through coaching, clear expectations, and ongoing feedback
- Create alignment across technical and cross-functional partners
- Balance near-term delivery with long-term platform and architectural health
- Operate with transparency and accountability in prioritization and execution
- Help the team adopt modern technologies and AI capabilities in ways that improve outcomes and strengthen engineering effectiveness
Required Qualifications
- 7+ years of software engineering experience, including experience leading engineering teams
- 3+ years of experience with direct people leadership, including coaching, performance management, and colleague development
- 5+ years of strong experience with Google Cloud Platform, including relevant services such as GKE, Cloud Run, Pub/Sub, BigQuery, Cloud Storage, IAM, VPC, and Cloud Build, or equivalent cloud technologies
- 3+ years of experience modernizing applications or platforms in a complex enterprise environment
- 5+ years of strong experience with distributed systems, microservices, APIs, cloud-native design, and event-driven architectures
- 5+ years of experience with CI/CD, testing practices, observability, incident management, and secure software development
- 1+ years of experience driving practical AI/ML or generative AI adoption in engineering or product environments
Preferred Qualifications
- Strong communication and stakeholder management skills
- Experience in healthcare, pharmacy, benefits, retail technology, or other regulated industries
- Knowledge on CloudSQL
- Experience supporting customer-facing digital platforms at scale
- Experience working in large, matrixed organizations with multiple stakeholder groups
- Experience building reusable platforms, services, or internal engineering capabilities
- Advanced degree in Computer Science, Engineering, or related field
Education:
Bachelor's degree, or equivalent experience (HS diploma + 4 years relevant experience)
Pay Range
The typical pay range for this role is:
$118,450.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 05/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Job ID: 84370931
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Data is collected and updated regularly using reputable sources, including corporate websites and governmental reporting institutions.
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