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Tier-1 GCC, remote Bangalore role and mid-level platform/devops title attract many qualified applicants.
Observability and platform engineering skills are broadly transferable across industries.
Explicit 7+ years plus mandatory observability, Kubernetes, IaC, and tooling skills create strict filters.
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Build, operate, optimize, and enhance enterprise observability platforms for applications and infrastructure.
Lead telemetry and data onboarding across applications, infrastructure, Kubernetes, cloud, and platform teams, including integration guidance and data quality validation.
Automate platform provisioning, configuration, deployment, and provide production support to troubleshoot complex telemetry ingestion and performance issues.
Minimum 7 years of hands-on experience in Platform Engineering, DevOps, SRE, Infrastructure Engineering, or Observability Engineering.
Strong experience with major observability stacks such as Elastic, Grafana, Datadog, or Splunk.
Hands-on experience with Kubernetes, containers, Linux, networking, cloud infrastructure, Infrastructure as Code (Terraform), and CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).
Advanced troubleshooting skills across applications, distributed systems, and telemetry pipelines; experience with telemetry concepts including logs, metrics, distributed tracing, and data lifecycle management.
Proven ability to manage, operate, and optimize production-grade observability platforms at scale with a focus on performance, capacity, and reliability.
Experienced in onboarding telemetry/data sources and supporting internal teams through integration and troubleshooting in complex environments involving Kubernetes and cloud platforms.
Strong cross-team collaboration skills to partner with Application, SRE, Infrastructure, and Security teams to improve telemetry quality, incident response, and observability standards implementation.