Senior Software Engineer - Developer Experience and Automation

As a Senior Software Engineer for Developer Experience Tooling and Automation, you will lead efforts to build shared internal libraries, tools, and processes that enable teams across CVS Health to efficiently build, test, preview, deploy, and operate systems with reduced lead time and complexity. You will collaborate with various teams across CVS to influence the technical direction of front-end web development and enhance the way we build applications that serve millions of customers across Retail, Pharmacy, Health Solutions, and Aetna.

This is a newly established team at CVS, and we need a strong technical engineer who can work with a high level of autonomy, advocate for best practices, and collaborate with engineers, product managers, designers, architects, and leadership to build platforms that developers love to use. This is a unique opportunity to help build a team from the ground up.

As a Senior Software Engineer on the team, you will build APIs, CLI tools, out-of-the-box automation tools using CVS Health approved tools, LLMs and Machine Learning algorithms, test, preview, deploy. 

What We Expect of You:

• 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
• Build, optimize, fine-tune Generative AI/LLM models to transform experience into solutions and deploy them
• Work closely with data scientists, ML engineers, 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
• Develop clear, concise, and clean code in any language (mostly in Python) that fits the needs of our customers and services offered
• 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

• 5+ years of overall experience in Python
• Experience in setting up and optimizing efficient data stores (RDBMS/NoSQL) for production
• 3+ years of overall backend 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 with Prompt engineering: Ability to build and craft prompts that evoke desired responses from LLMs
• Experience in team lead / technical lead capacity that follows a Scrum/Agile development methodology

PREFERRED QUALIFICATIONS

• Knowledge about natural language processing, hands on experience is preferred
• 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)