IT DevOps Engineer

Fireworks • San Mateo, CA

5d • $170,000 - $200,000

About The Position

Fireworks serves billions of API requests a day, and the work of getting a model from merged to serving still passes through too many hands. Deploys wait on someone to run a step. Alerts land in a channel and wait for a human to route them. Provisioning a customer means clicking through three systems in the right order. Every one of those is a workflow nobody has written down as code yet.
You will own the systems that close those gaps. That means running our CI/CD and infrastructure-as-code stack, and it also means building the automation layer above it — the orchestrated workflows, webhooks, and API integrations that connect model deployment to the internal systems around it. You will be the person the team asks about our API surface: how it authenticates, how it rate-limits, what breaks under load. You will spend as much time in n8n and Python as in Terraform and Kubernetes.
The role sits in IT and operates as a peer to Platform Engineering — you co-own the delivery path rather than filing requests against it, and you carry decisions on their merits rather than through an org chart. High autonomy, few templates, and the freedom to choose tools that earn their place.

Requirements

• 6+ years building production systems, with strong Python plus JavaScript or TypeScript — clean, modular, async code, not glue scripts.
• Hands-on expertise with n8n, Temporal, Make, or a comparable platform, including custom nodes and error-handling design.
• You reason in payloads and endpoints: REST and GraphQL, webhooks, gateways, proxying, and the auth mechanisms behind them.
• You have owned pipelines in GitHub Actions, GitLab CI, or Jenkins through real scale and real incidents.
• Production Kubernetes on AWS or GCP, with Terraform as your default way to change infrastructure.
• Your reflex after fixing something twice is to make the third time impossible.
• You have held technical ownership that crossed a team boundary, and earned it on judgment rather than reporting line.
• You enjoy that the tooling landscape in generative AI shifts every quarter, and you evaluate new tools without chasing them.

Responsibilities

• Design, deploy, and maintain mission-critical workflows in n8n or an equivalent orchestrator, with real error-handling paths rather than happy-path scripts.
• Replace manual runbook steps — engineering alerts, product provisioning, routine ops — with event-driven workflows that route themselves.
• Build the custom nodes, webhooks, and functions the off-the-shelf integrations do not cover.
• Design and secure internal and external integrations across REST, GraphQL, and webhooks, including OAuth2, mTLS, and API-key auth.
• Handle rate limits, retries, backpressure, and payload validation so integrations degrade predictably instead of silently.
• Mock, test, and version APIs so a downstream change surfaces in CI rather than in production.
• Co-own the deploy pipelines with Platform Engineering as a peer — tuned for fast AI model and infrastructure rollouts with zero downtime.
• Provision multi-cloud environments in Terraform, OpenTofu, or Pulumi — reviewed, reproducible, no console drift.
• Package and scale GPU and CPU workloads on EKS, GKE, or AKS with attention to utilization, not just uptime.
• Instrument pipelines and workflows with Prometheus, Grafana, or Datadog so a stalled automation pages someone before a customer notices.
• Build retry, fallback, and escalation logic into workflows so the common failures resolve without a human.
• Keep the workflow map and runbooks current enough that someone else can debug your automation at 2am.

Benefits

• Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
• Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
• Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
• Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed