Site Reliability Engineer

About the role

We are seeking a highly skilled Software Development Engineer, Site Reliability Engineering (SRE), for Retail and Pharmacy platforms to drive reliability, scalability, and operational excellence. The ideal candidate will leverage AIOps practices and AI-powered tools to improve observability, automate incident response, reduce operational noise, and enable data-driven decision making across distributed systems.

Responsibilities

• Leverage AIOps practices and AI-powered tools to improve observability, automate incident response, reduce operational noise, and enable data-driven decision making across distributed systems.
• Experience in Edge/Distributed software Architecture model.
• Hands-on experience with cloud platforms (AWS/Azure/GCP) and distributed systems.
• Experience in monitoring/observability tools (e.g., Prometheus, Grafana, Splunk, AppInsights, OpenTelemetry).
• Solid understanding of CI/CD, infrastructure as code, and automation practices.

Requirements

• Strong experience in Software Engineering, SRE, or Platform Engineering roles.
• Experience in Edge/Distributed software Architecture model.
• Proficiency in one or more languages: Java, Python, Go, or similar.
• Hands-on experience with cloud platforms (AWS/Azure/GCP) and distributed systems.
• Experience in monitoring/observability tools (e.g., Prometheus, Grafana, Splunk, AppInsights, OpenTelemetry).
• Solid understanding of CI/CD, infrastructure as code, and automation practices.

Preferred Qualifications

• Experience with AIOps platforms (e.g. Dynatrace, Datadog Watchdog, Splunk ITSI, Azure Monitor with AI capabilities).
• Familiarity with AI/ML concepts applied to operations, including anomaly detection, predictive analytics, and event correlation.
• Hands-on experience using AI coding and productivity tools (e.g., GitHub Copilot, ChatGPT/Copilot, AI-assisted debugging tools) in daily development workflows.
• Experience building or integrating AI-driven automation (runbooks, bots, intelligent alerting systems).
• Knowledge of real user monitoring (RUM) with AI-driven insights and performance analytics.
• Exposure to AIOps-driven incident management and self-healing architectures.
• Strong analytical mindset with ability to leverage data insights and AI recommendations for operational decisions.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.

Pay

The Typical Pay Range For This Role Is $79,310.00 - $158,620.00. 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.

Benefits

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. This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.