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# Senior DevOps Engineer

- **Company:** KAL DESIGN GROUP
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $180,000 - $230,000
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Cloud Engineering, Configuration Management, Nvidia CUDA, Databases, Continuous Integration, DevOps, Machine Learning, Prometheus, TypeScript, Data Logging, Pulumi, Google Cloud, Cloud Platform System, Pytorch, ReactJS, Delivery Pipeline, Grafana, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Front End Software Development, Terraform, Data Pipelines, Dynatrace
- **Published:** November 8, 2026
- **Apply:** https://www.thejobnetwork.com/job/81f72657-72a7-4418-befb-b66c63b64688/senior-devops-engineer

## About the Role

* 4+ years of hands-on DevOps, platform engineering, or SRE experience in a production environment.
 * Strong experience building and maintaining CI/CD pipelines and deployment automation at scale.
 * Proven experience with infrastructure-as-code tools (e.g., Terraform, Pulumi) and configuration management.
 * Strong fundamentals in designing, building, and maintaining resilient distributed and/or high performance systems.
 * Hands-on experience with Kubernetes and containerised 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

 * We are technology agnostic at Encord and not looking for experience across all of these - as long as you're open to learning, please apply.
 + Backend: Python
 + Frontend: TypeScript and React
 + Deployment: Kubernetes
 + Infrastructure: GCP
 + Machine learning: PyTorch, CUDA, Ray

## Description

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 in the teams building and operating Encord's core infrastructure, ensuring our platform is performant, reliable, observable, and scalable. You'll drive a culture of automation, performance, and resilience through individual contributions and collaboration with multiple squads.

What you'll do

 * CI/CD & Deployment Own and continuously improve deployment pipelines; partner closely with developers to review infrastructure changes, streamline release processes, and champion DevOps best practices across the engineering group.
 * 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 Drive developer productivity by building, guiding, and reviewing automation and internal tooling efforts across the engineering group; eliminate manual toil wherever it exists.
 * Performance & Capacity Profile and optimise services handling large-scale data pipelines; perform capacity planning for storage and compute-intensive workloads. Work with squads to establish performance benchmarks and expectations.
 * 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 (Prometheus, Grafana, OpenTelemetry, GCP Dashboards or similar); build infrastructure, define best practices, and work with each squad to ensure every service is observable before it goes to production.