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.

POSITION SUMMARY

CVS Health is transforming digital healthcare by building cohesive, scalable platform solutions that enable smarter, simpler, and more human-centered experiences. Come join a dedicated team of Engineers committed to excellence! Be part of a fast-paced, innovative, and collaborative environment with a focus on driving enterprise automation in support of top priorities across the organization.

As a Staff Software Development Engineer, you will collaborate with product, technology, and engineering teams to create exciting new solutions that will span various technologies and environments, including data offerings in the public cloud (GCP, AWS, Azure) and private/hybrid cloud. The Staff Software Development Engineer must be a strategic thinker with a growth mindset and a curiosity for new and emerging technologies, patterns, methodologies, and market offerings. The Staff Software Development Engineer will influence strategy, lead design and implementation, and possess excellent communications skills.

• You’ll design, build, and deploy infrastructure capabilities for database technologies in public, private, and hybrid cloud environments.
• Drive the creation of automation for database infrastructure services to improve delivery and speed-to-market.
• Collaborate with security, architecture, and engineering teams to establish and enforce standards and best practices.
• Partner with product and program teams to define roadmaps and execution plans.
• Build APIs to orchestrate automation exposing self-service capabilities to improve customer experiences.
• Drive initiatives to incorporate open-source tools, cloud native services, and AI to increase efficiency.

REQUIRED QUALIFICATIONS

• 7+ years’ experience as a multi-faceted Software Engineer, DevOps Engineer or similar role delivering automated infrastructure solutions at an enterprise scale.
• 5+ years’ experience in one or more programming languages such as Python, Java, and strong experience with infrastructure as code (IaC), specifically Terraform and Ansible.
• 3+ years’ experience using and administering build automation, continuous integration, and source code management CI/CD tools (GitHub Actions, Octopus, Jenkins, etc.)
• 3+ years’ experience with cloud platforms (Azure, GCP, AWS) as well as on-prem environments (VMware)
• 3+ years’ experience working with modern database and caching technologies (eg. MongoDB, PostgreSQL, BigTable, Neo4J, Cassandra, Redis, Elasticache)
• 3+ development experience using Restful APIs.

PREFERRED QUALIFICATIONS

• Experience with Container development (Kubernetes, Rancher, OpenShift, GKS, EKS, AKS)
• Experience with Test Driven Development
• Knowledge of Agile methodologies (SAFe, Kanban, XP)
• Experience with AI assisted software development
• Experience with microservice and service mesh architectures

EDUCATION

Bachelor’s degree in Computer Science or another Engineering field or equivalent experience. Master’s degree preferred.

• You’ll design, build, and deploy infrastructure capabilities for database technologies in public, private, and hybrid cloud environments.
• Drive the creation of automation for database infrastructure services to improve delivery and speed-to-market.
• Collaborate with security, architecture, and engineering teams to establish and enforce standards and best practices.
• Partner with product and program teams to define roadmaps and execution plans.
• Build APIs to orchestrate automation exposing self-service capabilities to improve customer experiences.
• Drive initiatives to incorporate open-source tools, cloud native services, and AI to increase efficiency