Site Reliability Engineer

CVS Health•Woonsocket, RI

2d•Onsite

About The Position

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 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.

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.

Nice To Haves

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.

Responsibilities

Drive reliability, scalability, and operational excellence for Retail and Pharmacy platforms.
Leverage AIOps practices and AI-powered tools to improve observability.
Automate incident response.
Reduce operational noise.
Enable data-driven decision making across distributed systems.