Standard Template Labs-posted 3 months ago
Mid Level
New York, NY

Standard Template Labs is a stealth-mode, AI-native startup reimagining the future of IT Service and Configuration Management. Backed by leading investors, we're leveraging AI, graph-based architecture, and exceptional design to transform how enterprises manage and engage with their technology ecosystems. We are currently looking to add Platform Engineers to our team, with at least 5 years of experience building and scaling large-scale infrastructure for enterprise-grade SaaS platforms. You’ll work at the intersection of distributed systems, data pipelines, and AI workloads — ensuring our platform is reliable, secure, and performant from day one.

  • Design, build, and operate core infrastructure (Kubernetes, containers, CI/CD, networking, service mesh)
  • Own deployment pipelines and automation to accelerate developer productivity
  • Implement monitoring, alerting, and SRE practices using Datadog to achieve high availability and reliability
  • Partner with product engineers to optimize workloads across APIs, data pipelines, and AI inference services
  • Ensure scalability, security and resilience for a SaaS platform used by large enterprise customers
  • Build with security and compliance (SOC 2, ISO 27001) in mind from the start
  • Continuously improve performance, scalability, and cost efficiency of cloud infrastructure
  • Contribute to internal tooling, documentation, and best practices for infrastructure
  • Degree in Computer Science, Engineering, or related field from a top-tier engineering school
  • 5+ years as a Platform, Infrastructure, or DevOps Engineer in SaaS environments serving large enterprise customers
  • Strong in Python, Go, or similar; proficient with Terraform, Kubernetes, and Docker
  • Deep experience with AWS, GCP, or Azure
  • Hands-on with CI/CD (GitHub Actions, Argo, or equivalent)
  • Expert in Datadog (dashboards, APM, logging, alerts, SLOs)
  • Systems thinker, automation-first, thrives in high-velocity startup environments
  • Background with graph databases, AI/ML infrastructure, or security engineering
  • Build foundational product features for an AI-first enterprise platform
  • The opportunity to take ownership of critical systems that scale to millions of users
  • A culture that values craftsmanship, autonomy, and technical excellence
  • Competitive compensation, equity, and benefits package
  • Work from our Midtown Manhattan office alongside the founding team in a focused, collaborative environment
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