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.
We are seeking a seasoned Cloud Platform Engineer to lead the evolution and maintenance of our high-availability cloud infrastructure. This role is a critical backfill requiring a "Day 2" operator—someone who doesn't just build environments but possesses the real-world scars from scaling, patching, and securing them in production.
While Kubernetes expertise is a core requirement, this is a holistic Cloud Engineering role. You will be responsible for the entire lifecycle of our Azure ecosystem, using Terraform for provisioning and Ansible for configuration management and OS-level orchestration.
Required Qualifications
- 7 years of relevant work experience
- Adept at problem solving and decision making skills
- Adept at collaboration and teamwork
- Adept at growth mindset (agility and developing yourself and others) skills
- Adept at execution and delivery (planning, delivering, and supporting) skills
- Adept at business intelligence
Preferred Qualifications
- Azure Certifications: Microsoft Certified: Azure Solutions Architect Expert or Azure DevOps Engineer Expert.
- Monitoring & Observability: Experience setting up and managing Azure Monitor, Log Analytics, or Prometheus/Grafana stacks to proactively catch "Day 2" issues.
- Team Leadership: Experience acting as a technical lead or "player-coach" who enjoys documenting processes to prevent single points of failure.
- Technical Communication: Ability to explain complex infrastructure concepts to non-technical stakeholders or internal customers.
Education
- Bachelor’s Degree in Computer Science, Information Technology, or a related technical field.
- Equivalent professional experience (10+ years) and high-level industry certifications may be considered in lieu of a formal degree.
Pay Range
The typical pay range for this role is:
$106,605.00 - $284,280.00
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.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



