Remote - AI-First SRE/DevOps Engineer
Role details
Job location
Tech stack
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.