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Remote role, metro location, mid‑level generalist infrastructure title, and broad cloud/Kubernetes requirements drive high competition.
Core infra skills transfer across industries but exabyte/AI platform focus raises moderate domain specificity.
Explicit 5+ years plus mandatory Kubernetes, cloud, Terraform, CI/CD and production experience makes filtering strict.
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Design, operate, and scale cloud infrastructure supporting petabyte to exabyte-scale data systems and AI workloads.
Manage production Kubernetes clusters ensuring high availability and predictable scaling.
Own customer-facing technical integration, troubleshoot complex infra issues, and drive operational excellence through reliability and automation.
5+ years experience in infrastructure, platform, or distributed systems engineering.
Strong coding skills in Go, Java, Python, or similar languages.
Production-grade Kubernetes experience with cloud/containerization expertise across AWS/GCP/Azure and Docker.
Proficiency in CI/CD systems, cloud infrastructure, and infrastructure-as-code tools like Terraform.
Experienced in building scalable, reliable, and cost-efficient cloud infrastructure in fast-paced startup environments.
Hands-on with Kubernetes production environments and cross-layer debugging (networking, storage, runtime).
Able to collaborate across engineering teams and guide complex customer technical integrations in diverse cloud and security stacks.