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Popular senior cloud role, remote-first visibility and generalist requirements create moderate competition.
Specialized cloud and Kubernetes platform skills make cross-industry transferability limited.
Requires strong Go, Kubernetes, cloud, and observability production experience, enforcing strict technical filters.
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Design and develop production Go services that manage and optimize Kubernetes infrastructure and cloud resources in real-time across AWS, GCP, and Azure.
Own end-to-end delivery of complex features or projects, including design, implementation, testing, and production rollout, typically within 1-4 weeks.
Debug and resolve complex production issues involving distributed systems, Kubernetes clusters, and multiple cloud providers.
Strong production experience with Go or equivalent systems programming language.
Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) including compute, networking, and storage.
Understanding of Kubernetes internals such as autoscaling and networking.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in owning complex software projects end-to-end in production environments with fast iteration cycles.
Comfortable working with distributed systems, cloud provider APIs, Kubernetes control plane, and time-series data.
Skilled in debugging, performance tuning, observability tooling (Prometheus, Grafana, OpenTelemetry), and CI/CD practices in cloud-native environments.