Staff Engineer - SRE - Retail & Pharmacy

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.

The Staff Engineer - SRE, Retail & Pharmacy will implement and maintain comprehensive observability solutions, providing real-time insights into the performance and overall health of systems to proactively identify and address potential issues. This role is responsible for investigating and resolving incidents quickly during critical situations and performing root cause analysis to prevent future recurrence. You will collaborate with cross-functional teams to build robust monitoring, alerting, and telemetry solutions, enabling proactive issue detection and resolution across distributed systems. As a senior member of the SRE team, you will drive best practices, mentor others, and shape the strategic evolution of our observability ecosystem in a complex, edge-centric architecture.

What You Will Do:

• Observability Strategy & Implementation
  • Design and implement comprehensive observability solutions tailored for edge computing environments, including monitoring, logging, tracing, and metrics collection, to provide deep visibility into system performance and health across distributed remote facilities
  • Define and maintain Service Level Indicators (SLIs), Service Level Objectives (SLOs), and business KPIs to measure and enhance system reliability in edge and centralized infrastructure
  • Build and optimize dashboards, visualizations, and alerting systems to enable real-time insights and rapid incident response for edge nodes and remote facilities
  • Implement distributed tracing and log aggregation systems to troubleshoot complex issues in edge computing environments

• System Reliability & Performance
  • Collaborate with engineering teams to ensure applications and infrastructure at edge locations are designed with observability in mind, incorporating best practices for instrumentation and monitoring in resource-constrained environments
  • Drive proactive identification of issues in edge facilities through advanced observability tools, reducing Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) across distributed systems
  • Lead incident postmortems, analyzing root causes specific to edge environments and implementing observability-driven improvements to prevent recurrence

• Tooling & Automation
  • Develop and maintain tools, scripts, and automation to enhance observability pipelines, optimizing for the unique challenges of edge computing, such as bandwidth limitations and intermittent connectivity
  • Evaluate and integrate industry-standard observability tools (e.g., Prometheus, Grafana, ELK Stack, OpenTelemetry) and recommend solutions tailored for edge computing use cases
  • Optimize observability data storage, retention, and querying to balance performance, cost, and scalability across a large number of remote facilities

• Leadership & Collaboration:
  • Mentor and guide junior SREs and engineers on observability best practices for edge computing, fostering a culture of reliability and proactive monitoring
  • Partner with solution, engineering, and business teams to align observability efforts with business objectives, ensuring seamless operation of edge and centralized systems
  • Lead cross-functional initiatives to improve observability, reliability, and operational efficiency across distributed edge infrastructure

• Continuous Improvement:
  • Stay current with emerging observability trends, tools, and methodologies, particularly those suited for edge computing and distributed systems, and advocate for their adoption
  • Contribute to the development of observability standards, runbooks, and documentation tailored for edge environments to ensure consistency and scalability
  • Drive cost optimization for observability infrastructure while maintaining high-quality monitoring and alerting capabilities across remote facilities

Minimum Qualifications:

• 8+ years of experience in SRE, DevOps, or related technology roles
• 5+ years of experience in delivering software in a large-scale environment with reliability and resilience concepts (multi-region, multi-cloud, containerization, etc.)
• 5+ years of experience with observability and monitoring tools such as Splunk, Dynatrace, Datadog, Prometheus, Grafana, etc.
• 3+ years of experience with programming/scripting languages (e.g., Python, java) for automation and tooling in distributed environments
• 3+ years of experience on Cloud Technologies (AWS, Microsoft Azure, Google Cloud
• 3+ years of experience with source control and continuous integration tools like Git/Stash, BitBucket, or Jenkins
• 2+ years of engineering team leadership or management experience
• Experience using customer feedback tools such as Quantum Metrics, Medalia, and Adobe Analytics
• Deep understanding of microservices architecture and cloud-native technologies
• Experience in configuring, supporting, and managing Rancher, Kubernetes, and/or Docker
• Experience in Incident Management, Change Management, Infrastructure Support, and Problem Management concepts and processes
• Excellent interpersonal and communication skills, including the ability to engage technical and non-technical stakeholders

Preferred Qualifications:

• Expertise working in edge computing environments with a large number of remote facilities, managing observability for distributed, high-latency, or resource-constrained systems
• Familiarity with chaos engineering principles to validate observability systems in edge environments
• Experience with retail SRE organizations, including experience with store systems; Point of Sale (POS), hand-helds, etc.
• Expertise in cloud development and deployment technologies, including containerization and multi-cloud configurations
• Demonstrated understanding of various API management and related platforms like Apigee, Vordel, Data power

Education:

• Bachelor's degree in Computer Science, Engineering, or related field required
• Master's degree in Computer Science, Engineering, or related field preferred

Pay Range

The typical pay range for this role is:

$118,450.00 - $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 our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• 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.

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We anticipate the application window for this opening will close on: 03/06/2026

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