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.

Position Summary

Signify Health, a CVS Health company, is looking for a Sr Software Engineering Manager to lead a team of highly skilled engineers within the Shield team. This is a dual-domain role with meaningful impact: you will drive delivery on our clinician safety platform while simultaneously building a new, industry-leading communications platform that connects clinicians and operations teams through live chat, email, and SMS.

Your team works across a modern, cloud-native stack — .NET 8 microservices, React, React Native, gRPC, and Azure — within a large-scale Nx monorepo. You will own delivery end-to-end: from architecture and sprint execution to hiring, growth, and culture.

This role is for an engineering leader who leads by example in the use of AI-assisted development tooling, holds a high bar for engineering quality, and builds teams that are motivated to grow and execute. You will be equally at home reviewing a pull request, unblocking a technical design, and running a quarterly growth conversation with a direct report.

Required Qualifications

- 8+ years of software engineering experience, with at least 2 years in

an engineering management or technical lead role with direct reports

- Proven track record of delivering complex, customer-facing software products on time and at high quality — in an agile, sprint-based environment

- Strong technical depth in two or more of: .NET / C#, React, React Native, cloud-native backend services (Azure preferred)

- Experience designing and delivering multi-channel communication systems — including any combination of chat, email, SMS, push notification, or

similar real-time/async messaging patterns

- Demonstrated ability to define technical roadmaps, break down ambiguous problems into executable work, and hold teams to delivery commitments without sacrificing engineering quality

- Experience building and scaling distributed backend services on Azure

or equivalent cloud platform (AWS, GCP) — including API design, service

reliability, monitoring, and incident response

- Hands-on experience with RESTful and/or gRPC API design and integratio

n patterns

- Strong engineering standards ownership: code review culture, CI/CD pipelines, test coverage, PR quality, and linting/compliance checks

- Track record of hiring and developing engineers — including structured

interviewing, onboarding, performance feedback, and promotion planning

- Active and visible adoption of AI-assisted engineering tools (e.g. Git

Hub Copilot, Claude Code, or equivalent) in your own workflow, and demonstrated experience in driving AI tool adoption across an engineering team

- Excellent verbal and written communication — able to present technical

plans, risks, and tradeoffs clearly to both engineering teams and non-technical stakeholders

Preferred Qualifications

- Experience working within a large enterprise or health-tech organization, particularly in a regulated or compliance-sensitive domain (HIPAA awareness is a plus)

- Familiarity with clinician-facing or patient-facing digital products —

understanding of the unique reliability, safety, and UX standards these

products require

- Experience with push notification infrastructure — particularly in mobile-first product contexts

- Working knowledge of React Native development and cross-platform mobile delivery, including CI/CD pipelines for iOS and Android

- Experience with feature flag platforms such as LaunchDarkly — including flag lifecycle management, rollout strategies, and team-level governance practices

- Experience running or contributing to an AI engineering workflow moder

nization program — defining standards, selecting tooling, and measuring

productivity improvements

- Working knowledge of Nx monorepo tooling, including module boundary enforcement, tag-based dependency rules, and build graph optimization

- Experience with Kubernetes-based deployments (AKS or equivalent), incl

uding familiarity with k8s manifests, environment promotion strategies,

and basic operational runbooks

Education

- Bachelor's degree in Computer Science, Software Engineering, or a rela

ted technical discipline — or equivalent practical experience demonstrat

ing the same level of technical foundation

- Advanced degree (Master's or equivalent) in a technical field is advantageous but not required

- Relevant professional certifications are welcomed, including but not l

imited to: Microsoft Azure certifications (AZ-204, AZ-305, or equivalent

), AWS/GCP equivalents, or leadership/management certifications

- Continuous learning mindset — demonstrated engagement with emerging technologies, AI/ML tooling developments, and modern software engineering practices through coursework, certifications, conference participation,

or published work

Pay Range

The typical pay range for this role is:

€65,000.00 - €165,000.00

We anticipate the application window for this opening will close on: 01/06/2026

Senior Manager - Software Engineering

Job Description