AI Platform Engineer

Glint Tech Solutions LLCSan Francisco, CA

About The Position

We're hiring multiple AI Platform Engineers to help build the foundation of an AI-first engineering organization. This is a high-impact role where you'll own the infrastructure, developer platform, and AI tooling that enables engineering teams to move faster, ship more reliably, and build enterprise-scale products.

Requirements

  • 5+ years of software or platform engineering experience.
  • Experience building and maintaining production infrastructure in a B2B SaaS environment.
  • Strong experience with Kubernetes & Docker
  • Strong experience with CI/CD pipelines
  • Strong experience with Cloud infrastructure (AWS, GCP, or Azure)
  • Strong experience with Infrastructure reliability, monitoring, deployments, and rollbacks
  • Proficiency in TypeScript and Python.
  • Experience scaling distributed systems and developer platforms.
  • Strong ownership mindset with the ability to work independently.

Nice To Haves

  • Startup experience, ideally growing with a Series A or Series B company.
  • Previous Founder or Founding Engineer experience.
  • Experience building AI-first engineering workflows or internal AI tooling.
  • Experience with ETL pipelines, Cloudflare, SOC 2 environments, or developer productivity platforms.
  • Background in modern B2B infrastructure companies such as developer tools, data platforms, or SaaS products.
  • Degree from a top university.

Responsibilities

  • Design, build, and maintain scalable cloud infrastructure and internal developer platforms.
  • Improve CI/CD pipelines, deployment workflows, monitoring, and developer productivity.
  • Build AI-powered engineering workflows and tooling that accelerate software development.
  • Strengthen platform security, compliance, reliability, and operational readiness.
  • Evaluate and implement modern infrastructure, storage, and compute technologies.
  • Resolve production incidents while driving long-term reliability improvements.
  • Partner closely with engineering teams to enable fast, safe, and scalable product delivery.
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