DevOps Engineer

Overview

Encord is hiring a DevOps Engineer to join its platform engineering team in India, embedded in the teams that build and operate the company's core infrastructure to keep the platform performant, reliable, observable and scalable.

What you'll do

• 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.
• 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.
• Build, guide, and review automation and internal tooling efforts across the engineering group to drive developer productivity; eliminate manual toil wherever it exists.
• 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.
• Define and own SLIs/SLOs/SLAs for critical services; build alerting, runbooks, and incident response processes; lead postmortems with a blameless culture.
• 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.

What you'll need

• 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.

Nice to have

• Open to learning the broader tech stack, which includes Python (backend), TypeScript and React (frontend), Kubernetes (deployment), GCP (infrastructure), and PyTorch, CUDA and Ray (machine learning); the company is technology agnostic and does not expect experience across all of these.

Details

• Location: India.
• Embedded in the platform engineering team in India.