As a Senior Engineering Manager on the team, you will build and rollout APIs, CLI tools, out-of-the-box automation tools using CVS Health approved tools, LLMs and Machine Learning algorithms, test, preview, deploy.
As a Senior Engineering Manager supporting our Developer Experience and Automation team, you should be able lead and drive:
Strategic Leadership: Drive the vision and roadmap for intelligent automation initiatives that streamline developer workflows and enhance engineering outcomes.
Solution Architecture: Oversee the design and implementation of scalable, cloud-native applications using modern full-stack frameworks.
AI Integration: Champion the integration of AI capabilities into automation pipelines to enable adaptive systems and data-driven decision-making.
Performance Optimization: Apply DORA metrics to assess and continuously improve engineering performance, delivery velocity, and operational efficiency.
Cross-Functional Collaboration: Partner with engineering, product, and platform teams to align automation strategies with organizational goals.
What We Expect of You:
- Leading teams to design, implement, and optimize automated systems
- Key responsibilities include project management, technical leadership, strategic planning, and stakeholder collaboration
- Advocate for engineering best practices, including test coverage, clean code, and security
- Be data-driven and articulate the value our platform provides to all engineering teams at CVS Health
- Work closely with data scientists, software developers, and business stakeholders to translate AI research into practical, deployable solutions that address business needs and enhance decision-making processes
- Lead the prototyping and experimentation with new generative models, optimizing them for specific use cases (e.g., content generation, personalization, simulation) and scaling prototypes into production-grade applications
- Emphasize the importance of mentorship and training to upskill both yourself and junior engineers, fostering a strong and supportive engineering team
- Act as a technical leader across all parts of the CVS Health Infrastructure engineering team
- Collaborate with architecture and engineering teams to standardize how we can enhance the experience
- Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies – NumPy, data science packages like sci-kit, microservices architecture
- Actively participate in the design and architecture process for new services across teams
REQUIRED QUALIFICATIONS
- 7+ years of overall experience in Software Development, Agile Practices, Team and Project/Product Management
- 3+ years of overall development experience on enterprise-class applications
- 3+ years partnering with architecture, product, and program management teams to influence product development decisions
- 3+ years of experience working on projects using mature CI/CD practices, source control such as Git, and automated testing
- 2+ years of experience working with large public cloud technologies (e.g., GCP, AWS, Azure)
- Experience in setting up and optimizing efficient data stores (RDBMS/NoSQL) for production
- Experience leading teams that follow a Scrum/Agile development methodology
PREFERRED QUALIFICATIONS
- Understanding of different infrastructure architecture designs
- Experience partnering with product and engineering leaders to deliver high-quality technology solutions
- Excellent personal communication, organization, and time management skills
- Awareness of new and emerging technologies and the ability to present their benefits and drawbacks to a large engineering organization
- Deep understanding of cloud platforms (AWS, GCP, Azure) and understanding in developing AI/ML infrastructure on cloud services
- Strong communication skills, with the ability to work across technical and non-technical teams
EDUCATION
- Bachelor’s degree or, equivalent experience (HS diploma + 4 years relevant experience)