Join Nomic AI as a Senior Platform Engineer to own and scale our infrastructure stack in the AEC industry.
Posted by employer 2 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Nomic helps enterprise teams extract structured knowledge from project files using AI models.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Platform Engineer at Nomic AI, the individual will manage and enhance the infrastructure stack, ensuring efficient deployment and performance of AI agents across various customer environments. Key skills include extensive experience with Kubernetes, infrastructure as code, and strong software engineering capabilities in Python or TypeScript. This position is ideal for seasoned professionals with a background in DevOps or SRE, who are comfortable taking ownership of complex systems. Nomic AI is already operational across multiple continents, emphasizing the importance of reliability and scalability in its growing infrastructure.
Joblaze insights
Quick facts
From the original posting
Nomic is the domain-specific AI platform for the Architecture, Engineering, and Construction (AEC) industry. We help enterprise teams extract structured knowledge from decades of drawings, specs, and project files — combining embedding models, document parsing, and autonomous agents that reason over real-world data and take action in live environments.
Nomic is hiring a Senior Platform Engineer to own our infrastructure stack — multi-account AWS, Kubernetes, IaC, CI/CD — and the systems that make our agents run well in production: orchestrating rollouts across customer environments, keeping inference fast and reliable, and maintaining industry-leading performance as we scale.
We're already deployed across dozens of companies on three continents, delivering value in production today, and we train and deploy our own models. Your job will be to scale that footprint up dramatically — more customers, more environments, more inference — without performance or reliability slipping as we grow.
This is a senior IC role with broad ownership and real architectural influence. You'll have a wide surface area and the autonomy to shape it.
Rollout and deployment. Orchestrating how our agents and services roll out across many customer cloud environments: deployment strategies, per-customer configuration, automated health checks, and the monitoring that catches problems before customers do.
Inference and performance. Keeping model inference fast, reliable, and cost-effective at scale — serving infrastructure, GPU workloads, and the performance work that keeps agents responsive as volume grows.
Core infrastructure. Kubernetes, multi-account AWS, CI/CD, 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 (SOC 2, enterprise security) as customer requirements demand.
Infrastructure as code. Defining, provisioning, and evolving all infrastructure through code — designing modules, managing state, and thinking hard about blast radius.
5+ years in infrastructure, DevOps, or SRE roles running cloud infrastructure in production
Strong Kubernetes experience — deploying workloads, debugging real issues, working with operators and controllers
Solid infrastructure-as-code skills — designing modules, managing state, reasoning 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 genuine comfort owning a wide surface area
Terraform experience
Observability platforms (Datadog, OpenTelemetry) — dashboards, trace/metric/log pipelines
PostgreSQL operations — performance tuning, replica management
ML/AI infrastructure — inference services, GPU workloads, model serving, eval pipelines
Multi-tenant deployment patterns or per-customer isolation
Experience building sandboxed execution environments or automated reliability systems
Competitive base salary and performance-based compensation
Equity participation
Medical, dental, and vision coverage
Flexible PTO
Hybrid NYC model preferred, remote considered for the right person
A senior role with broad ownership — the infrastructure decisions you make define how reliably Nomic runs and scales in the field