Engineer, Production Engineering

Engineer — Production Engineering

Location: San Francisco Bay Area (Hybrid/Onsite)
Type: Full-time
Stage: Early-stage startup

About the Role

We are building the control plane for AI agents in teams and companies.

As a Production Engineer, you will own the infrastructure, security, and compliance systems that allow our platform to ship fast and run reliably at scale. This is not a traditional ops role — you will write real code, contribute directly to the product, and own the full security and compliance surface of an early-stage company.

You’ll work across Kubernetes infrastructure, cloud delivery, agent sandboxing, SOC2 compliance, IT systems, and production observability — and you’ll contribute to the product itself, building security-sensitive features and auditing application code for vulnerabilities.

If you want to own the production backbone for the agent-native era — from a Terraform module to a pentest to an API key implementation — we want to talk.

What You’ll Own

1. Cloud & Kubernetes Infrastructure

• Our Stack: Manage and evolve our production and staging infrastructure on GCP (GKE) using Terraform. Own DNS, networking, and environment configuration end-to-end.

• Customer Environments: Deploy and operate within customer VPCs across AWS, Azure, and GCP — adapting to varied infrastructure constraints, security requirements, and enterprise networking configurations.

• Agent Sandboxing: Build and maintain Kubernetes-based sandboxing for agent execution — ensuring agents operate within strict network boundaries and must route through our API gateway rather than having unfettered internet access.

• Observability: Own our observability stack, including OpenTelemetry instrumentation and integrations with New Relic and Splunk, to give the team deep visibility into system performance and agent runtime behavior.

2. Security, Compliance & IT

• SOC2 & Audits: Lead infrastructure and operational work to support SOC2 compliance, including audit preparation, evidence collection, and control implementation.

• Penetration Testing & Bug Bounty: Manage our HackerOne engagement — coordinating pentests, triaging incoming bug bounty reports, and driving remediation.

• Product Security: Audit application code for security vulnerabilities, contribute security-sensitive product features (e.g., API key management), and ensure product and infrastructure security are coherent end-to-end.

• IT & Identity: Own our IT stack — Okta, device management, and access controls — keeping the company secure as we scale.

3. CI/CD & Progressive Delivery

• Deployment Pipelines: Design and maintain safe, automated CI/CD workflows supporting rollout strategies like canary and blue-green deployments.

• Release Velocity: Make shipping to production a routine, boring, highly automated non-event.

What We’re Looking For

Strong Fit

• Experience: 5+ years in Production Engineering, Platform Engineering, or a security-focused infrastructure role, ideally at a fast-growing startup or SaaS company.

• Our Stack: Strong hands-on experience with Kubernetes and GCP in production; comfortable with Terraform for managing real infrastructure.

• Code over Click: Strong programming skills (Python, Go, TypeScript, etc.) with a passion for automating away toil.

• Security Depth: Hands-on experience with compliance frameworks (SOC2), vulnerability management, and secure system design.

Bonus Points

• Background with multi-tenant SaaS or enterprise security and procurement requirements.

• Exposure to AI/ML infrastructure, particularly agent runtimes.

• Experience building security-sensitive product features alongside infrastructure work.

• Experience supporting pentests / bug bounties

• Experience deploying and operating in customer VPCs or other external cloud environments across AWS, Azure, and/or GCP — navigating enterprise networking, security, and access constraints.

Why This Role is Unique

• Broad Ownership: You’ll own the full security and compliance surface of an early-stage company — from SOC2 to sandboxed agent execution to IT — while also contributing directly to the product.

• Agent Infrastructure: You’ll design infrastructure for autonomous AI agents, not just traditional web services — introducing unique sandboxing, observability, and security challenges.

• Our Infra and Theirs: You’ll operate across both our own production environment and customer cloud environments, requiring you to be fluent across AWS, Azure, and GCP.

• High Autonomy: As an early hire, you’ll have a seat at the table to choose the tools and define the architecture that carries us to scale.

Who Thrives Here

• Engineers who are as comfortable reading application code for vulnerabilities as they are writing a Terraform module.

• People who enjoy owning the full security and compliance surface, not just one layer of it.

• Builders who can navigate the constraints of customer enterprise environments without losing velocity.

• Those who are energized — not overwhelmed — by the breadth of an early-stage technical operations role.