Senior Observability Platform Engineer

Koitecc Solutions

Virginia (MN)

Hybrid

USD 83,000 - 222,000

Full time

10 days ago
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Benefits offered by this job

Medical, dental, vision coverage
Paid time off
Retirement savings options
Wellness programs

Job summary

CVS Health Enterprise Technology seeks a Senior Observability Platform Engineer to design, build, and operate large‑scale observability services across on‑prem, hybrid, and multi‑cloud environments. You’ll leverage Go, Python, and Java to advance OpenTelemetry instrumentation and drive enterprise‑wide reliability and performance.

Lead with SRE, Cloud, CI/CD, and security teams to shape platform strategy, deliver self‑service capabilities, and ensure secure telemetry pipelines with mTLS and

Qualifications

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

Responsibilities

  • Develop custom software to drive the observability platform using Java Spring Boot, Python, Go-lang etc
  • Design, build, and operate core observability platform services using Go, Python, Java (Spring Boot)
  • Support and lead enterprise-wide adoption of OpenTelemetry, including client libraries, semantic conventions, instrumentation patterns, and Collector/agent strategy
  • Design, 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

Skills

Software Engineering
Observability practices
Backend services (Go/Java)
OpenTelemetry
Cloud-native platforms
Public cloud (AWS/GCP/Azure)

Education

Bachelor's degree

Tools

Go
Java
Python
Docker
Kubernetes
Argo CD
Terraform
CloudFormation
Grafana
PostgreSQL

Job description

CVS Health Enterprise Technology seeks a Senior Observability Platform Engineer to design, build, and operate large‑scale observability services across on‑prem, hybrid, and multi‑cloud environments. You’ll leverage Go, Python, and Java to advance OpenTelemetry instrumentation and drive enterprise‑wide reliability and performance.

Lead with SRE, Cloud, CI/CD, and security teams to shape platform strategy, deliver self‑service capabilities, and ensure secure telemetry pipelines with mTLS and

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