Infrastructure Engineer

Infrastructure Engineer

Base Salary:

$150,000–$300,000 + competitive equity

Location:

New York City or San Francisco

Work Arrangement:

On-site 5 days per week

Visa:

Sponsorship and eligible visa transfers available, including H-1B transfers and OPT

A fast-growing,

$50M Series A AI infrastructure startup backed by Sequoia Capital

is hiring Infrastructure Engineers to help build and scale the foundation of its enterprise AI platform.

The company is building secure, enterprise-grade AI data infrastructure for financial services. Its founders previously helped scale engineering and AI/ML organizations at

Stripe and Notion

, and the team is expanding to support significant customer demand.

This is an opportunity to join as one of the company's

first ~20 engineers

and take meaningful ownership of the infrastructure that supports sensitive enterprise and financial data.

What you'll do

• Build and scale secure, production-grade cloud infrastructure across

  AWS, GCP, and/or Azure

• Deploy and operate containerized workloads using

  Kubernetes

• Build and improve

  CI/CD pipelines and infrastructure-as-code systems

• Develop infrastructure supporting AI and data-intensive workloads

• Build monitoring, alerting, observability, and production reliability systems

• Support secure enterprise and private-cloud deployments

• Build infrastructure for complex data ingestion and processing pipelines

• Implement access controls, auditability, security, and data-governance practices

• Improve infrastructure performance, scalability, reliability, and cost efficiency

• Help shape infrastructure architecture and engineering practices as the company scales

What we're looking for

• 3–10 years of infrastructure, platform, cloud, SRE, or closely related software engineering experience

  .

• Hands-on production experience with

  AWS, GCP, or Azure

• Strong experience with

  Kubernetes and containerized infrastructure

• Experience building or owning

  production-scale infrastructure

  , not simply supporting systems designed by others

• Experience with

  CI/CD, infrastructure as code, observability, and production reliability

• Strong software engineering fundamentals and the ability to work beyond configuration and operations

• Experience operating secure, reliable systems in production

• Evidence of increasing technical scope, ownership, and responsibility

• Candidates may come from either a

  cloud/platform infrastructure

  background or a

  data infrastructure

  background involving complex production ingestion and processing systems.

Particularly valuable experience

• Engineering experience in a

  high-bar, technically rigorous startup or engineering organization

• Rapid career progression or unusually broad technical ownership

• Early-stage or high-growth startup experience

• Terraform

• Distributed systems

• Data ingestion, ETL, or real-time processing infrastructure

• AI/ML infrastructure, including LLM inference or training infrastructure

• Security, compliance, data governance, or regulated-industry environments

• Datadog, Prometheus, Grafana, or similar observability platforms

• AWS SageMaker, Bedrock, or related AI infrastructure

• Experience working across multiple cloud environments