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High—Tier-1 brand, metro location, and broad, non-niche skill requirements increase qualified applicant density.
Low—platform and observability skills are highly transferable across industries.
High—explicit 7+ years and mandatory observability, Kubernetes, IaC, and cloud experience.
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Build, operate, and optimize enterprise observability platforms for applications and infrastructure, including telemetry pipelines for logs, metrics, traces, and events.
Lead telemetry onboarding and provide integration guidance and support to multiple teams including applications, infrastructure, Kubernetes, and cloud.
Monitor and improve platform availability, performance, capacity, scalability, and reliability while troubleshooting complex production telemetry issues.
Minimum 7 years of experience in Platform Engineering, DevOps, SRE, Infrastructure Engineering, or Observability Engineering.
Proven hands-on experience with at least one major observability stack (e.g., Elastic, Grafana, Datadog, Splunk).
Experience with Kubernetes, containers, Linux, networking, cloud infrastructure, Infrastructure as Code tools (Terraform), and CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).
Work Experience Required: Minimum 7 years; Notice Period: Not explicitly mentioned in the JD.
Experienced in operating and troubleshooting large-scale production observability platforms with strong skills in telemetry collection, signal processing, and platform optimization.
Strong collaboration with cross-functional teams such as Application, SRE, Infrastructure, and Security to enhance telemetry quality and incident response.
Technical proficiency in automation scripting (Python, Go, Bash), instrumentation frameworks (OpenTelemetry), and implementation of SLIs, SLOs, and alerting standards.