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Tier-1 brand, metro location, and popular DevOps title increase applicant density.
Observability and SRE skills transfer across industries but cloud and OSS experience remain preferred.
Mandates 8+ years, observability expertise, Kubernetes operator development, cloud and on-call experience.
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Own architecting, testing, and building a large-scale observability platform focusing on application performance monitoring and distributed tracing.
Design and implement end-to-end tracing across microservices architectures and develop Kubernetes operators for infrastructure services.
Participate in 24x7 on-call rotations and collaborate in capacity planning, retrospectives, and design reviews to support DevOps model adoption.
8+ years of industry experience.
Proven experience with observability tools focusing on error tracking and distributed tracing such as Sentry, OpenTelemetry, or Jaeger.
Experience with software development, especially building Kubernetes operators using Python, Bash or Go.
Experience operating in large-scale Linux environments and cloud platforms (AWS & GCP preferred).
Experienced in large-scale observability and distributed tracing system design within microservices architectures.
Competent in cloud infrastructure (AWS/GCP) and Kubernetes orchestration with hands-on development skills.
Familiar with CI/CD, TDD, Chaos Engineering, and DevOps/SRE practices supporting infrastructure resilience and reliability.