Senior DevOps Engineer
Encord · New York
About this role
## About Encord Encord is the universal data layer for AI—helping 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We’re an ambitious team of 100+ working at the frontier of AI, backed by **$60M Series C** funding from Wellington Management, CRV, Next47, and Y Combinator. --- ## Role: Senior DevOps Engineer (New York) We’re looking for a **Senior DevOps Engineer** with **5+ years** of experience to join our growing **Platform Engineering** team in **New York**. You’ll be embedded with teams building and operating Encord’s core infrastructure—ensuring our platform is **performant, reliable, observable, and scalable**. You’ll help drive a culture of **automation, performance, and resilience** through both individual contributions and collaboration across multiple squads. --- ## What You’ll Do - **CI/CD & Deployment**: Own and continuously improve deployment pipelines. Partner with developers to review infrastructure changes, streamline release processes, and champion DevOps best practices. - **Infrastructure & Cloud**: Design, deploy, and maintain cloud infrastructure on **GCP and AWS**. Manage **Kubernetes** clusters, networking, and storage at petabyte scale, with **infrastructure-as-code** as the default. - **Automation & Tooling**: Build, guide, and review automation and internal tooling to eliminate manual toil and improve developer productivity. - **Performance & Capacity**: Optimize services handling large-scale data pipelines. Perform capacity planning for storage and compute-intensive workloads, and work with squads to establish performance benchmarks. - **Reliability & Availability**: Define and own **SLIs/SLOs/SLAs** for critical services. Build alerting, runbooks, and incident response processes. Lead postmortems with a blameless culture. - **Observability**: Instrument services with distributed tracing, logging, and metrics (e.g., **Prometheus, Grafana, OpenTelemetry, GCP Dashboards**). Build infrastructure and best practices to ensure every service is observable before production. --- ## What We’re Looking For - **4+ years** hands-on experience in DevOps, platform engineering, or SRE in a production environment. - Strong experience building and maintaining **CI/CD pipelines** and deployment automation at scale. - Proven experience with **infrastructure-as-code** (e.g., Terraform, Pulumi) and configuration management. - Strong fundamentals in designing and maintaining **resilient distributed/high-performance systems**. - Hands-on experience with **Kubernetes** and containerized workloads in cloud environments (**GCP and/or AWS**). - Solid understanding of **networking, operating systems, and database technologies**. - Experience with observability fundamentals: **metrics, logs, traces, and alerting**. --- ## Tech Stack (Flexible) We’re technology agnostic and don’t require experience across everything—if you’re open to learning, please apply. - **Backend**: Python - **Frontend**: TypeScript, React - **Deployment**: Kubernetes - **Infrastructure**: GCP - **Machine Learning**: PyTorch, CUDA, Ray --- ## What We Offer - Competitive salary, commission, and meaningful equity - Clear, accelerated growth opportunities - Strong in-person culture: **4 days/week** - Flexible PTO - Annual learning & development budget - Comprehensive he
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