Senior Platform Engineer

Nomic • New York, NY

3d

About The Position

Nomic builds AI agents and developer tools for document intelligence. We help physical ai enterprise teams, primarily in architecture, engineering, and construction, extract structured knowledge from decades of drawings, specs, and project files. Our platform combines embedding models, document parsing, and autonomous agents that reason over real-world data and take action in live environments.
Nomic trains and deploys its own models, pioneered on-device LLM inference with GPT4All in 2023, and is aggressively building agentic systems—both for customers and into our own processes. The infrastructure already reflects that: multi-account AWS, Kubernetes, infrastructure-as-code, CI/CD, observability, and per-customer deployments. We're hiring a Platform Engineer to own that stack and push it forward—particularly the hard problem of running autonomous agents safely in deployed customer environments: sandboxed execution, secure isolation, automated health checks, and the reliability guarantees enterprises expect.
This is a senior IC role with broad ownership and real architectural influence.
Team: Platform & Infrastructure Reports to: CTO

Requirements

• 5+ years in infrastructure, DevOps, or SRE roles running cloud infrastructure in production
• Strong Kubernetes experience deploying workloads, debugging issues, working with operators and controllers
• Solid infrastructure-as-code skills designing modules, managing state, thinking about blast radius
• Strong software engineering fundamentals you write and review production code in Python and/or TypeScript, not just infra configs
• Linux systems and networking fundamentals
• CI/CD pipeline design and maintenance
• A proactive orientation and comfort owning a wide surface area

Nice To Haves

• Terraform experience
• Experience with observability platforms (Datadog, OpenTelemetry) dashboards, trace/metric/log pipelines
• PostgreSQL operations performance tuning, replica management
• Experience with ML/AI infrastructure inference services, GPU workloads, model serving, eval pipelines
• Background in multi-tenant deployment patterns or per-customer isolation
• Experience building sandboxed execution environments or automated reliability systems

Responsibilities

• Agent infrastructure is the highest priority. Our agents execute in customer cloud environments. You'll own the sandboxing, isolation, monitoring, and safe operation of those workloads at scale. This includes execution environments, security boundaries, automated QA, eval harnesses, and feedback loops that make agents more reliable over time.
• Core infrastructure Kubernetes, multi-account AWS, CI/CD, deployment strategies, observability (traces, metrics, logs, alerting, SLOs), disaster recovery, and cost management.
• Security posture access controls, secrets management, network security, image scanning, dependency auditing, and compliance work (SOC2, enterprise security) as customer requirements demand it.
• Infrastructure as code defining, provisioning, and evolving all infrastructure through code.

What This Job Offers

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