Glint Tech Solutions LLC
AI Platform Engineer
Vaga remota de Platform Engineering com fit claro de localização do candidato.
Publicada24 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
AI Platform Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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.
Must haves
- 5+ years of software or platform engineering experience.
- Experience building and maintaining production infrastructure in a B2B SaaS environment.
- Strong experience with:Kubernetes & DockerCI/CD pipelinesCloud infrastructure (AWS, GCP, or Azure)Infrastructure reliability, monitoring, deployments, and rollbacks
- 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.
Details
- Kubernetes & Docker
- CI/CD pipelines
- Cloud infrastructure (AWS, GCP, or Azure)
- Infrastructure reliability, monitoring, deployments, and rollbacks
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.
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.
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