Standard Template Labs is looking to transform how enterprises manage and engage with their technology ecosystems by leveraging AI, graph-based architecture, and exceptional design to reimagine the future of IT Service and Configuration Management.
Requirements
- 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)
- Background with graph databases
- Background with AI/ML infrastructure
Responsibilities
- 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
Other
- 5+ years as a Platform, Infrastructure, or DevOps Engineer in SaaS environments serving large enterprise customers.
- Systems thinker, automation-first, thrives in high-velocity startup environments.
- Work from our Midtown Manhattan office alongside the founding team in a focused, collaborative environment.
- We're in-office five days a week, moving quickly and building together—with easy access to public transportation.
