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Sr Manager Software Development Engineering
Company | CVS Health |
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Location | Needham, MA, USA |
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Salary | $142140 – $284280 |
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Type | Full-Time |
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Degrees | |
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Experience Level | Senior, Expert or higher |
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Requirements
- 5+ years of experience managing engineers
- 10+ years of experience with designing and building software engineering solutions in cloud environments (preferably Google Cloud Platform)
- 10+ years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc.
- 10+ years of experience with APIs, microservices, and modern software patterns
- 5+ year(s) of soliciting complex requirements and managing relationships with key stakeholders
- 5+ year(s) of experience independently managing deliverables
Responsibilities
- Oversee digital engineering projects, ensuring successful delivery within scope, budget, and timeline.
- Shape long-term plans, technology adoption strategies, and innovation initiatives to drive digital transformation.
- Provide technical leadership, guiding the team in best practices, optimizing development processes, and resolving technical challenges.
- Partner with senior leadership to define and execute the digital engineering strategy and roadmap in alignment with business objectives.
- Contribute to solution design and architecture, collaborating with product teams, architects, and senior engineers.
- Engage with key stakeholders—including business leaders, clients, and partners—to gather requirements, clarify expectations, and align priorities.
- Establish and enforces quality assurance processes to ensure the delivery of high-performing, reliable digital solutions.
- Champion continuous improvement by identifying opportunities for enhancement, refining processes, and optimizing development workflows.
- Lead one to a few teams of software engineers, providing mentorship, fostering professional growth, and ensuring team effectiveness.
Preferred Qualifications
- Knowledge in GCP architecture, commands and experience designing & optimizing software and data engineering patterns
- Healthcare, Retail, Pharmacy and/or Insurance domain experience
- Machine Learning and Generative AI experience at scale