CVS Health
Senior Manager Digital Engineering
$130K–$261K
NJ - Work from home · Remote · Manager · Full-time · Posted Oct 22, 2026
- Experience
- 7+ years software engineering; 4+ years observability, developer, or internal engineering platforms; 3+ years each in engineering management, production platform operations at scale, and hands-on observability technologies.
- Education
- Bachelor’s degree or equivalent experience (Highschool diploma plus 4 years relevant work experience).
About the job
Leads the strategy, teams, and operations for an enterprise observability platform to improve reliability, developer productivity, and customer experience.
What you'll do
- Set the platform strategy, roadmap, and operating model; lead and develop engineering teams.
- Drive enterprise observability standards and partner across teams to improve reliability and operational visibility.
- Lead automation, self-service, cloud modernization, and AI-driven operations; manage KPIs, investments, vendors, and capacity planning.
What they ask for
- 7+ years of software engineering experience.
- 4+ years building observability platforms, developer platforms, or internal engineering infrastructure; 3+ years directly managing engineering teams.
- 3+ years operating a production product or platform at scale in multi-cloud or multi-cluster environments, including AWS, GCP, or Azure.
- 3+ years hands-on with monitoring, logging, distributed tracing, and OpenTelemetry; experience defining SLIs, SLOs, and reliability programs, and leading Agile or Scrum teams.
Nice to have
- 3+ years with observability solutions such as Grafana, Prometheus, Datadog, Splunk, Dynatrace, or New Relic; experience with Infrastructure as Code, GitOps, and modern CI/CD.
- Experience in cloud modernization or operational transformation; knowledge of AIOps, AI-powered observability, or regulated industries.
Pay
$130,295.00 - $260,590.00 USD base annual full-time salary (or base hourly rate).
Tools
OpenTelemetry, AWS, GCP, Azure, Grafana, Prometheus, Datadog, Splunk
AI focus
Lead AI-driven operations; preferred knowledge includes AIOps, AI-powered observability, and intelligent automation.
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