AI Summary
Seeking a Founding Infrastructure Engineer to design and build cloud infrastructure from scratch for an early-stage enterprise AI platform. You will own the full infrastructure lifecycle, from architecture to production, and establish foundational best practices. Requires 5+ years of experience in cloud infrastructure, IaC, Kubernetes, and major cloud platforms.
Key Highlights
Founding infrastructure role at an early-stage enterprise AI platform startup.
Design and build cloud infrastructure entirely from scratch, owning architectural decisions end-to-end.
Establish foundational best practices, standards, and tooling in a greenfield environment.
Key Responsibilities
Design and build cloud infrastructure from the ground up to power an enterprise-grade semantic AI platform.
Own the full infrastructure lifecycle, from architecture and deployment through scaling and ongoing operations.
Establish foundational best practices, standards, and tooling in a greenfield environment.
Build and maintain CI/CD pipelines and deployment automation systems.
Architect and manage Kubernetes clusters and container orchestration platforms in production.
Implement infrastructure monitoring, observability, and logging systems.
Design and manage database infrastructure including relational and NoSQL systems at scale.
Implement infrastructure security, networking, and access control.
Technical Skills Required
Benefits & Perks
Visa sponsorship is available.
Nice to Have
Experience with data infrastructure or data pipeline systems is a plus.
Background with knowledge graphs, semantic systems, or graph databases is a plus.
Experience with ML infrastructure or AI/ML platform systems is a plus.
Job Description
About The Role
This is a founding infrastructure engineering role at an early-stage enterprise AI platform startup, where you'll design and build cloud infrastructure entirely from scratch. You'll own architectural decisions end-to-end — from initial design through production — for a semantic platform serving highly regulated industries like insurance, banking, and healthcare. The choices you make here will shape how the company scales for years to come.
What You'll Do
- Design and build cloud infrastructure from the ground up to power an enterprise-grade semantic AI platform.
- Own the full infrastructure lifecycle, from architecture and deployment through scaling and ongoing operations.
- Establish foundational best practices, standards, and tooling in a greenfield environment.
- Build and maintain CI/CD pipelines and deployment automation systems.
- Architect and manage Kubernetes clusters and container orchestration platforms in production.
- Implement infrastructure monitoring, observability, and logging systems.
- Design and manage database infrastructure including relational and NoSQL systems at scale.
- Implement infrastructure security, networking, and access control.
Searching for Devops roles that provide visa sponsorship? Connect with international employers through Devops Jobs with Visa Sponsorship opportunities actively seeking talented professionals.
Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.
- 5+ years of hands-on experience building and operating cloud infrastructure systems in production environments.
- Proven experience designing and deploying infrastructure-as-code using tools such as Terraform, CloudFormation, or Pulumi.
- Strong experience architecting and managing Kubernetes or other container orchestration platforms in production.
- Deep familiarity with at least one major cloud platform (AWS, GCP, or Azure), including networking, storage, compute, and managed services.
- Experience building and maintaining CI/CD pipelines and deployment automation.
- Hands-on experience with observability and monitoring tooling (e.g., Prometheus, ELK, Datadog, or similar).
- Comfort making high-impact architectural decisions independently in an early-stage environment.
- Experience with data infrastructure or data pipeline systems is a plus.
- Background with knowledge graphs, semantic systems, or graph databases is a plus.
- Experience with ML infrastructure or AI/ML platform systems is a plus.
Interested in opportunities specifically in United State? Discover our dedicated Visa Sponsorship Jobs in United State page featuring roles from top employers in this location.
On-site in San Mateo, California, United States. Visa sponsorship is available.
Similar Jobs
Explore other opportunities that match your interests
Visa Sponsorship
Relocation
Remote
Job Type
Full-time
Experience Level
Mid-Senior level
resolve tech solutions
United State
AI/ML Engineer - Generative AI & Agentic Systems
••••••
••••••
••••••
Job Type
••••••
Experience Level
••••••
American Express
United State
Visa Sponsorship
Relocation
Remote
Job Type
Full-time
Experience Level
Mid-Senior level
Tech Observer
United State