Lead Engineer - Observability Platform

CVS Health•Washington, NV

1d•$106,605 - $284,280•Remote

About The Position

Join CVS Health Enterprise Technology and put your engineering skills to use shaping the future of developer platforms for software engineers at Fortune 6 scale. The CVS Observability Platform gives engineers at CVS frictionless access to application instrumentation no matter where their applications run. As a Lead Cloud Engineer on the Observability Platform team, you will be architecting and scaling the data pipelines for billions of logs, metrics, and traces produced by thousands of workloads spanning multiple public cloud providers and datacenters. You will leverage open standards, open source technologies, and in-house custom software to extend and create new platform features. You will work closely with the SRE team and engage with application teams across the company to inform the direction of the platform as it grows. Successful candidates will combine deep technical acumen with a willingness to collaborate and mentor teammates across teams. A keen understanding of distributed systems and operational thinking will help you excel in the role.

Requirements

7+ years of experience in Software Engineering
5+ years of experience with observability practices, including SLIs/SLOs/SLAs, alerting, and incident management
5+ years building production-grade backend services in Go and/or Java
5+ years implementing and operating OpenTelemetry, including OTLP, semantic conventions, and instrumentation patterns
5+ years with cloud-native and containerized platforms (Docker, Kubernetes, Argo CD)
5+ years working with public cloud platforms (AWS, GCP, or Azure)
3+ years designing and scaling distributed, high‑volume data pipelines
3+ years of experience with Helmcharts, Kustomize etc.
3+ years working with Grafana OSS or comparable observability backends (e.g., Grafana, Loki, Tempo, Mimir)
3+ years of experience with Infrastructure as Code tools such as Terraform or CloudFormation
3+ years with relational databases (PostgreSQL, MySQL)

Nice To Haves

Experience with service meshes and networking technologies such as Envoy and Istio
Experience integrating or operating commercial observability platforms (Datadog, New Relic, AppDynamics, etc.)
Experience with On-Call Scheduling tools such OpsGenie, PagerDuty, GoAlert etc.
Experience with streaming and data platforms such as Kafka, Pulsar, or similar technologies
Familiarity with time-series, NoSQL, or analytical databases (ClickHouse, Bigtable, Cassandra, etc.)
Experience with cost optimization and capacity planning for large-scale telemetry systems
Experience with chaos engineering, resiliency testing, or fault injection
Background in security‑aware platform design, including secure service‑to‑service communication
Experience mentoring senior engineers and influencing platform standards across organizations
Strong operational experience supporting 24x7 production systems, including on‑call responsibilities
Strong technical communication and cross‑team collaboration skills
Experience operating in regulated or compliance‑heavy environments (e.g., healthcare, finance)

Responsibilities

Design, build, and operate core observability platform services using Go, Python, Java (Spring Boot)
Lead enterprise-wide adoption of OpenTelemetry, including client libraries, semantic conventions, instrumentation patterns, and Collector/agent strategy
Architect and scale high‑throughput, fault‑tolerant telemetry pipelines (logs, metrics, traces) with a focus on performance, reliability, and cost efficiency
Develop self-service observability capabilities that simplify onboarding, troubleshooting, and adoption for application teams
Implement end-to-end monitoring of the observability platform itself, defining SLOs, health checks, and alerting
Collaborate with SRE, Platform, and Cloud teams to establish reliability standards, error budgets, and incident response practices
Participate in on‑call rotations and lead incident mitigation, root‑cause analysis, and post‑incident reviews
Automate operational workflows and eliminate manual toil through tooling, CI/CD enhancements, and platform automation
Ensure secure telemetry pipelines through mTLS, secrets management, and zero‑trust design patterns
Produce and maintain high-quality technical documentation, standards, and best practices
Engage with internal engineering teams to gather requirements, influence roadmap prioritization, and deliver platform improvements
Provide technical leadership through mentorship, design reviews, architectural guidance, and cross‑team collaboration with principal engineers and engineering leadership