DevOps Engineer (Founding Team)

DevOps Engineer (Founding Team)

Location : San Francisco Bay Area

Type : Full-Time

Compensation : Competitive salary + meaningful equity (founding tier)

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

• Build and maintain scalable cloud infrastructure across AWS / GCP / Azure with a focus on secure, tenant-isolated deployments
• Own and evolve CI / CD systems (e.g. GitHub Actions, ArgoCD) with progressive rollout, testing, and rollback flows
• Establish observability tooling across services, agents, and pipelines (OpenTelemetry, Prometheus, Grafana, Sentry)
• Implement policy-as-code (OPA, Rego) for deployment safety, RBAC, audit logging, and approval workflows
• Define and enforce SLAs, uptime targets (99.99%+), incident response, and remediation workflows
• Secure infrastructure : IAM, VPC, encryption, key management, image scanning, secrets rotation
• Automate deployments, infrastructure provisioning (Terraform, Helm), and environment replication

What We’re Looking For

Core Experience :

Engineering Mindset :

Bonus : Agent-Native / ML Ops Capabilities

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.

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