Backed by 8VC, we’re building a world-class team to tackle one of the industry’s most critical infrastructure problems.
About the Role
We’re building an AI-native, multi-tenant enterprise platform for complex domains in industrial verticals. In this architecture, DevOps isn’t just about shipping features — it’s about operationalizing intelligent agents, ensuring traceability across AI systems, and supporting mission-critical ML infrastructure at scale.
We’re looking for a DevOps engineer who can own infrastructure from Day 1 — automating everything from CI/CD and observability to cloud governance and security. You’ll work with a highly technical team building real-time AI pipelines and multi-agent systems. If you want to be the person who makes the platform run — fast, secure, reliable, and explainable — this is your role.
Responsibilities
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Build and maintain scalable cloud infrastructure across AWS/GCP/Azure with a focus on secure, tenant-isolated deployments
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Own and evolve CI/CD systems (e.g. GitHub Actions, ArgoCD) with progressive rollout, testing, and rollback flows
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Establish observability tooling across services, agents, and pipelines (OpenTelemetry, Prometheus, Grafana, Sentry)
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Implement policy-as-code (OPA, Rego) for deployment safety, RBAC, audit logging, and approval workflows
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Define and enforce SLAs, uptime targets (99.99%+), incident response, and remediation workflows
Building retrieval-augmented generation (RAG) pipelines — and deploying them safely and repeatably
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Familiarity with vector DBs (Weaviate, Qdrant, Pinecone) and embedding pipelines
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Monitoring and governing long-running or multi-agent chains
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Auditability and replay systems for agent decision-making
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Serving fine-tuned or open-source LLMs with model versioning and GPU scaling (e.g. vLLM, TGI)
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Interest in auto-remediation using agents (e.g. observability + alert → insight → response via LLM)
Why This Role Matters
DevOps is the nervous system of the platform — every agent, every data fabric component, every pipeline flows through what you build. This is a rare opportunity to design that system early, the right way, and future-proof it for scale, compliance, and trust.
If you’re excited by intelligent systems, distributed data, and deeply technical infrastructure problems — and you want your work to have immediate real-world impact — we’d love to hear from you.