Senior Manager (DevOps, Automation, GCP)

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.

• Lead, mentor, and grow a team of software engineers and SRE/DevOps engineers.

• Foster a culture of accountability, innovation, and continuous improvement.

• Define team goals, OKRs, and performance metrics aligned with organizational strategy.

• Partner with product, architecture, and business stakeholders to deliver platform capabilities.

• Drive the adoption of AIOps solutions for predictive monitoring, anomaly detection, and automated root cause analysis.

• Integrate machine learning models and analytics into monitoring pipelines to proactively detect and prevent incidents.

• Develop intelligent alerting systems to reduce noise and improve signal quality.

• Architect and implement scalable observability frameworks across metrics, logs, traces, and events.

• Establish standards for instrumentation, telemetry collection, and distributed tracing.

• Enable proactive monitoring, alerting, and incident detection using tools such as Datadog, Prometheus, Grafana, and Splunk.

• Define and implement enterprise-wide SRE practices, including SLIs, SLOs, error budgets, and reliability governance.

• Drive adoption of CI/CD pipelines, Infrastructure as Code (IaC), and GitOps practices.

• Lead the design and evolution of scalable, automated, and secure platform engineering solutions.

• Standardize development and deployment workflows across teams.

• Champion DevOps maturity, developer productivity, and release automation.

• Improve system reliability through error budgets, resiliency patterns, and chaos engineering.

• Lead incident response processes, postmortems, and root cause analysis.

• Drive continuous improvements in MTTR (Mean Time to Recovery) and system availability.

• Architect and manage solutions across cloud platforms (AWS, Azure, or GCP).

• Ensure scalability, security, and cost optimization of infrastructure.

• Oversee containerization and orchestration using Docker and Kubernetes.

• Integrate DevSecOps practices into pipelines and platform tooling.

• Ensure compliance with enterprise security standards and regulatory requirements.

• Automate security scanning, vulnerability management, and policy enforcement.

• 5+ years of experience in software engineering, SRE, or production engineering within large-scale distributed systems.

• Hands-on experience with AIOps or intelligent monitoring platforms, including anomaly detection and event correlation.

• Experience with observability tools such as AppDynamics, Grafana, Prometheus, and Splunk.

• Strong expertise in cloud platforms (AWS, Azure, or GCP), cloud-native architectures (Kubernetes, containers, microservices), and CI/CD pipelines (GitHub Actions, Jenkins).

• Experience with Infrastructure as Code (Terraform, AWS CloudFormation, or GCP Deployment Manager).

• Proficiency in at least one programming language (e.g., Python, Java, Go).

• Proven track record of improving operational metrics (SLAs, CSAT, resolution time).

• Experience with GenAI and automation tools such as OpenAI, Copilot, Gemini, Claude, and MCP.

• Strong understanding of distributed systems, resiliency patterns, and fault tolerance.

• Strong analytical skills with experience in reporting and performance measurement.

• Excellent communication, stakeholder management, and conflict resolution skills.

• Ability to thrive in a fast-paced, high-growth, or matrixed environment.

• Experience designing and implementing AIOps platforms or predictive reliability systems at scale.

• Strong knowledge of machine learning applications in IT operations (e.g., anomaly detection, forecasting, clustering).

• Experience defining and managing SLIs/SLOs and error budgets at scale.

• Experience with OpenTelemetry and modern observability standards.

• Familiarity with chaos engineering, resilience testing, and fault injection frameworks.

• Exposure to GenAI-driven operations or AI-assisted troubleshooting tools.

• Experience in healthcare, financial services, enterprise SaaS, or other regulated industries.

• Proven ability to lead cross-functional initiatives and influence senior stakeholders.

• Contributions to open-source projects related to SRE, observability, or AIOps.

• Relevant certifications in cloud platforms, SRE, AIOps, OpenTelemetry, or DevOps are a plus.

• Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, or a related discipline.

• Customer-first mindset with a passion for delivering exceptional service.

• Strategic thinker with strong execution capabilities.

• High emotional intelligence with strong people leadership skills.

• Continuous improvement mindset with a focus on innovation.

The typical pay range for this role is: