🛠 Tech Stack

💼 About This Role

You'll design and scale multi-cloud infrastructure for an AI-native IT service platform. You'll own the deployment pipelines and ensure reliability, security, and performance from day one. This role offers autonomy over critical systems in a high-velocity startup environment.

🎯 What You'll Do

• Design, build, and operate core Kubernetes and container infrastructure
• Own deployment pipelines and automation for developer productivity
• Implement monitoring and SRE practices using Datadog
• Partner with product engineers to optimize workloads across APIs and AI services

📋 Requirements

• 5+ years as Platform, Infrastructure, or DevOps Engineer in SaaS
• Proficient in Python, Go, or similar languages
• Expert with Terraform, Kubernetes, and Docker
• Hands-on with CI/CD (GitHub Actions, Argo, or equivalent)

✨ Nice to Have

• Background in AI/ML infrastructure
• Experience in security engineering
• Systems thinker with automation-first mindset

🎁 Benefits & Perks

• 💰 Competitive compensation, equity, and benefits package
• 🏢 On-site in Flatiron District, Manhattan office
• 🚀 Ownership of critical systems scaling to millions of users
• 📚 Culture of craftsmanship, autonomy, and technical excellence