AI Platform Engineer

Glint Tech Solutions; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Glint Tech Solutions is seeking AI Platform Engineers to design, build, and maintain scalable cloud infrastructure and internal developer platforms that enable engineers to move faster, ship more reliably, and build enterprise-scale products. You will own CI/CD pipelines, deployment workflows, monitoring, and developer productivity, while strengthening platform security and reliability.

This role partners with engineering teams to deliver fast, safe, and scalable product delivery in a dynamic

Qualifications

• 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.
• Cloud infrastructure (AWS, GCP, or Azure).
• Proficiency in TypeScript and Python.

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.

Skills

Kubernetes

Docker

CI/CD

Cloud platforms

TypeScript

Python

Distributed systems

Ownership mindset

Five+ years experience

SaaS infra experience

Education

BS in Computer Science or related field

Tools

Terraform

Prometheus

Job description

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.

What You'll Do

• 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.

What We're Looking For

Must Have

• 5+ years of software or platform engineering experience.
• Experience building and maintaining production infrastructure in a B2B SaaS environment.
• Strong experience with:
  • Kubernetes & Docker
  • CI/CD pipelines
  • Cloud infrastructure (AWS, GCP, or Azure)
  • 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 Have

• 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.

Tech Stack

• TypeScript
• Python
• Kubernetes
• Docker
• AWS / GCP / Azure
• CI/CD
• AI-assisted development tools
• Cloud Infrastructure
• Modern DevOps & Platform Engineering

Ideal Candidate

• Thrives in fast-moving startup environments.
• Enjoys building infrastructure that enables other engineers to be more productive.
• Passionate about AI-native software development and modern engineering workflows.
• Comfortable wearing multiple hats and solving complex infrastructure challenges.
• Has a strong product mindset and cares deeply about customer impact.