Senior Software Development Engineer

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Senior Software Engineer - Developer Experience and Automation

At CVS, we're dedicated to creating a unique and seamless experience for our developers across CVS Digital. We are seeking a strong hands-on senior software engineer who can transform developers' experiences into innovative solutions, making the journey for our developers at CVS both productive and enjoyable.

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.

• 5+ years of overall experience in machine learning, deep learning, and natural language processing.
• Experience setting up and optimizing efficient data stores (RDBMS/NoSQL) for production use in the ML app context.
• 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.
• Prompt engineering: Ability to build and craft prompts that evoke desired responses from LLMs.
• 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 leading teams that follow a Scrum/Agile development methodology.

• 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 experience in architecting AI/ML infrastructure on cloud services.
• Strong leadership and communication skills, with the ability to work across technical and non-technical teams.

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.