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Senior Software Engineer for Developer Experience Tooling and Automation who 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. 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.
Job Responsibility:
Build shared internal libraries, tools, and processes that enable teams across CVS Health to efficiently build, test, preview, deploy, and operate systems
Collaborate with various teams across CVS to influence the technical direction of front-end web development
Build APIs, CLI tools, out-of-the-box automation tools using CVS Health approved tools, LLMs and Machine Learning algorithms
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
Lead the prototyping and experimentation with new generative models, optimizing them for specific use cases
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)
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
Requirements:
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
Bachelor's degree or equivalent experience (HS diploma + 4 years relevant experience)
Nice to have:
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
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