DevOps Engineer (Founding Team)

4–10+ years in DevOps, platform engineering, or SRE in production-grade systems

Strong experience with Docker, Kubernetes (EKS/GKE), Terraform or Pulumi

Hands-on experience deploying and monitoring distributed cloud-native systems

Familiar with GitOps practices, CI/CD design, progressive delivery, and secure SDLC

Clear understanding of how to implement monitoring, alerting, and failure simulation in dynamic environments

Obsessed with reliability, latency, uptime, and repeatability

Security-aware and compliance-conscious

Proactive — you don’t wait for alerts to fix things

Comfortable collaborating with backend, AI, and data teams

We’re building an agentic, AI-native platform from the ground up. Experience here isn’t required, but would be a strong differentiator:

Experience running LLM orchestration frameworks (e.g. LangChain, LangGraph, Dust, ReAct agents)

Building retrieval-augmented generation (RAG) pipelines — and deploying them safely and repeatably

Familiarity with vector DBs (Weaviate, Qdrant, Pinecone) and embedding pipelines

Monitoring and governing long-running or multi-agent chains

Auditability and replay systems for agent decision-making

Serving fine-tuned or open-source LLMs with model versioning and GPU scaling (e.g. vLLM, TGI)

Interest in auto-remediation using agents (e.g. observability + alert → insight → response via LLM)

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.