Own and scale Nomic's infrastructure stack across multi-account AWS and Kubernetes: rollout orchestration, inference performance (GPU/model serving), CI/CD, IaC, observability, security, disaster recovery, and cost management to support many customer environments at scale.
About Nomic
About YouRequired
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.
The RoleNomic 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.
What You'll OwnRollout 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.
About YouRequired
- 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
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
The Senior Alliance Manager will cultivate partnerships with life sciences companies, ensuring value and satisfaction through collaboration and execution of agreements. Responsibilities include developing relationships, leading meetings, tracking milestones, and managing operations for clients.
Top Skills:
AIReal-World Evidence
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads to assess customers’ insurance needs, recommend appropriate Property & Casualty coverages, and convert prospects into policyholders. The role includes paid training and licensing, customer relationship building, persuasive selling, and representing the Liberty Mutual brand. Representatives must work a designated weekday and weekend schedule and maintain a professional home workspace with wired high-speed internet.
Top Skills:
PcWired High-Speed Internet
Artificial Intelligence • Healthtech • Software • Telehealth
Owns licensing operations for new provider types, including state requirements research, applications, renewals, issue resolution, reporting, SOPs, quality controls, and audit-ready documentation. Leads licensing associates and virtual assistants, manages performance and capacity metrics, resolves escalations, improves workflows through tooling and automation, and partners cross-functionally to scale compliant provider licensing operations.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
