Encord
DevOps Engineer
San Francisco
Sponsorship not specifiedDetected 2 days ago
TypeScriptPythonReactAWSGCPCloud PlatformsKubernetesTerraformCI/CDPrometheusGrafanaDevOpsSite Reliability EngineeringPlatform EngineeringMachine LearningDeep LearningPyTorchData EngineeringComputer VisionIncident ResponseCollaboration
About the role
- We're looking for a DevOps Engineer with 4-5 years of experience to join our growing platform engineering team in San Francisco.
- 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.
Responsibilities
- 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
- 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.
- build infrastructure, define best practices, and work with each squad to ensure every service is observable before it goes to production.
Requirements
- 4-5 years of hands-on DevOps, platform engineering, or SRE experience in a production environment.
- Proven experience with infrastructure-as-code tools (e.g., Terraform, Pulumi) and configuration management.
- Hands-on experience with Kubernetes and containerised workloads in cloud environments (GCP and/or AWS).
- Experience with observability fundamentals metrics, logs, traces, and alerting.
Skills
- Backend: Python
- Frontend: TypeScript and React
- Deployment: Kubernetes
- Infrastructure: GCP
- Machine learning: PyTorch, CUDA, Ray
Compensation
- Bi-annual off-sites and monthly socials.
Benefits
- Competitive salary and equity in a hyper growth startup.
- Flexible PTO to recharge.
- Annual learning and development budget.
- 18 paid vacation days + federal holidays.
- Health, dental and vision insurance.
- Encord offers a unique opportunity to be part of a startup with a clear mission and vision.
- You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more.
- Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
Company info
- Encord is the universal data layer for AI that helps 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 and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
- The role
- We're looking for a DevOps Engineer with 4-5 years of experience to join our growing platform engineering team in San Francisco. 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.
- Encord is the universal data layer for AI that helps 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 and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
- What We're Looking For
This listing is sourced directly from Encord's careers page and normalized into a canonical job model.