Remote - AI-First SRE/DevOps Engineer
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Role details
Tech stack
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Requirements
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3-5 years of professional experience in SRE, DevOps, or platform engineering roles.
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Strong Kubernetes operational experience - running it in production, not just deploying to it.
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Demonstrable adoption of an AI-First mindset and tools (Claude Code, Cursor, or Windsurf). Daily use of at least one AI development tool is a must.
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Fluency with infrastructure-as-code, GitOps, and modern CI/CD; comfortable scripting and building tooling (Go or Python preferred).
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Cloud-native depth on at least one major cloud provider.
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Solid observability expertise and SLO-driven operations experience.
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Experience with containerization (Docker) and service mesh concepts. * Experience building or operating LLM infrastructure: inference gateways, eval/observability tooling, agentic orchestration.
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Data-pipeline and streaming/CDC experience.
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Security or identity background; familiarity with post-quantum cryptography or supply-chain security.
Prior experience at an early-stage startup.
About the company
Insight Global is looking for a remote, DevOp/SRE with an AI-First mindset coming from a start up back round to join one of our cyber security customers in the Bay Area.
This role can pay 140-160k based on years of experience and skillset.
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This job is hosted externally. Click below to view the full posting and apply.
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