Senior Platform Engineer

Nomic, Inc.; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading AI development company in New York is seeking a Platform Engineer to oversee their cloud infrastructure. This role demands expertise in Kubernetes, infrastructure as code, and CI/CD pipeline management. You will ensure secure and reliable deployments for customer environments. Ideal candidates have 5+ years in infrastructure, DevOps, or SRE roles, with solid programming skills in Python or TypeScript. Join a pioneering team to influence architecture and push forward innovative solutions.

Qualifications

• 5+ years in infrastructure, DevOps, or SRE roles running cloud infrastructure in production.
• Strong Kubernetes experience deploying workloads and debugging issues.
• Solid infrastructure-as-code skills designing modules and managing state.
• Strong software engineering fundamentals in Python and/or TypeScript.

Responsibilities

• Own sandboxing, isolation, and monitoring of agent workloads at scale.
• Develop CI/CD strategies and manage disaster recovery.
• Maintain security posture through access controls and compliance work.
• Define and provision all infrastructure through code.

Skills

Kubernetes

Infrastructure as code

Cloud infrastructure management

CI/CD pipeline design

Python

TypeScript

Linux systems

DevOps/SRE experience

Tools

Terraform

PostgreSQL

Datadog

OpenTelemetry

Job description

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.

The Role

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

What You’ll Work On

• 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 We’re Looking For

You have:

• 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

Even better if you have:

• 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