Staff Data & AI Cloud Platform Engineer

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary
As a Staff Cloud Engineer, Data Engineering for Analytics and Behavioral Change (A&BC) team, you will be working with teams building applications using billions of records of retail and healthcare data and help lead teams to deliver outcomes for your partners.

You will help support three areas with colleagues as well as work on some as an individual contributor. There will be no direct reports as the team is a mix of contractors and full time colleagues.

DevSecOps & Security Automation

• Implement and maintain CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Azure DevOps, or Jenkins.
• Integrate security scanning (SAST, SCA, DAST, container scanning) into build and deployment workflows.
• Automate cloud infrastructure using IaC tools like Terraform, CloudFormation
• Enforce security baselines, secrets management, and identity/access controls across cloud platforms.
• Monitor vulnerabilities, remediate findings, and collaborate with security teams on compliance requirements
• Build guardrails for secure containerization and orchestration (Docker, Kubernetes, AKS).

Azure Cloud Cost Reporting & FinOps

• Develop and maintain cloud cost dashboards and automated reporting (Azure Cost Management, Tableau).
• Analyze cost trends, identify anomalies, and recommend optimization strategies .
• Partner with engineering teams to embed cost awareness into design and deployment decisions.
• Implement tagging standards and cost‑allocation models across multi‑cloud environments.
• Support budgeting, forecasting, and show back/chargeback processes.
• Provide monthly and quarterly cost insights to leadership and finance teams.

Data Base (Snowflake) &  Emerging AI  

• Evaluate and Manage AI offerings in co-ordination with Cloud security, Governance groups to roll out POCs and tracking AI Token usage and associated costs
• Manage Snowflake accounts, warehouses, roles, and resource monitors.
• Optimize warehouse sizing, auto‑suspend/auto‑resume, and query performance
• Oversee Implementation of RBAC, data masking, and security policies within Snowflake
• Oversee data ingestion pipelines (Snowpipe, Streams & Tasks, external stages).
• Monitor storage usage, compute consumption, and cost drivers within Snowflake.
• Support schema design, database lifecycle management, and integration with BI tools.
• Troubleshoot performance issues and collaborate with data engineering teams.

Required Skills & Qualifications

Technical Skills

• 7+ years experience across Cloud,
• Strong experience with CI/CD tooling and DevSecOps practices.
• Proficiency with Terraform or other IaC frameworks.
• Hands‑on experience with Azure/GCP security and automation.
• Knowledge of containerization and Kubernetes.
• Expertise in Snowflake administration, SQL, and data‑warehouse operations.
• Familiarity with cloud cost management tools and FinOps principles.
• Scripting skills (Python, Bash, PowerShell).
• Understanding of networking, IAM, and cloud security architecture
• Experience in API and security principles
• AI and Agentic frameworks

Preferred Qualifications
 

• An understanding of AI and LLM framework such as Langchain, Langgraph 

• An understanding of experiment design, CICD and Orchestration models.
• Familiarity with modern techniques to fine tune LLM  
• Experience developing Python packages as an open-source developer/contributor 
• Strong communication, organizational, analytical, and problem-solving skills 

Education

• Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning (STEM field) or related discipline
• Master’s degree preferred

Pay Range

The typical pay range for this role is:

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.  This position also includes an award target in the company’s equity award program. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

Additional details about available benefits are provided during the application process and on Benefits Moments.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.