Senior Observability Platform Engineer - Scale & OpenTelemetry

CVS Health

Illinois

Hybrid

USD 83,000 - 222,000

Full time

6 days ago
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Benefits offered by this job

Medical benefits
Dental and vision coverage
Retirement savings options

Job summary

CVS Health is seeking a Senior Observability Platform Engineer to design, build, and operate large-scale observability services using Go, Python, and Java. You will drive OpenTelemetry adoption and shape a self-service observability ecosystem across CVS Health environments spanning on-prem, hybrid, and multiple clouds.

You will partner with SRE, Cloud, CI/CD, and Infrastructure teams to ensure reliable, secure, and cost-efficient observability at scale while delivering high-performing backend

Qualifications

  • 5+ years of software engineering experience.
  • 3+ years observability, SLOs/SLIs/SLAs, alerting, incident management.
  • 3+ years backend services in Go and/or Java.
  • 2+ years with IaC tools like Terraform or CloudFormation.
  • 2+ years with Grafana or similar observability backends.

Responsibilities

  • Develop and operate large-scale observability services.
  • Lead OpenTelemetry adoption across the enterprise.
  • Design and scale high-throughput telemetry pipelines (logs, metrics, traces).
  • Collaborate with SRE, Cloud, CI/CD and security teams.
  • Mentor engineers, lead incident reviews, and ensure secure pipelines.

Skills

Go
Python
Java
OpenTelemetry
Kubernetes
AWS
SRE collaboration
CI/CD
Databases (PostgreSQL/MySQL)

Education

Bachelor's degree or equivalent experience

Tools

Docker
Argo CD
Terraform

Job description

CVS Health is seeking a Senior Observability Platform Engineer to design, build, and operate large-scale observability services using Go, Python, and Java. You will drive OpenTelemetry adoption and shape a self-service observability ecosystem across CVS Health environments spanning on-prem, hybrid, and multiple clouds.

You will partner with SRE, Cloud, CI/CD, and Infrastructure teams to ensure reliable, secure, and cost-efficient observability at scale while delivering high-performing backend

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