Senior Platform Engineer

Job Overview

We are seeking a Senior Platform Engineer to join our Platform & Infrastructure team. In this role, you will own and advance our infrastructure stack, with a particular focus on running autonomous agents safely in customer environments. This is a senior individual contributor role with broad ownership and real architectural influence.

About Nomic

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.

Key Responsibilities

• Own the sandboxing, isolation, monitoring, and safe operation of agent workloads at scale in customer cloud environments


• Manage core infrastructure including Kubernetes, multi-account AWS, CI/CD, deployment strategies, observability, disaster recovery, and cost management


• Ensure security posture through access controls, secrets management, network security, image scanning, dependency auditing, and compliance work (SOC2, enterprise security)


• Define, provision, and evolve all infrastructure through code (infrastructure as code)

Required Qualifications

• 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; write and review production code in Python and/or TypeScript


• Linux systems and networking fundamentals


• CI/CD pipeline design and maintenance


• A proactive orientation and comfort owning a wide surface area

Preferred Qualifications

• 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