Descripci\u00f3n del puesto:
Infrastructure Engineer
Base Salary: $150,000\u2013$300,000 + competitive equity
Location: New York City or San Francisco
Work Arrangement: On-site 5 days per week
Visa:\u00a0Sponsorship and eligible visa transfers available, including H-1B transfers and OPT<\/p>\n
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.<\/p>\n
What you’ll do<\/p>\n
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<\/p>\n
3\u201310 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.<\/p>\n
Particularly valuable experience<\/p>\n
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
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