DevOps Engineer

Encord is hiring a DevOps Engineer in London, United Kingdom. Level rates it ; you can apply on Encord.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include PyTorch, Databricks and Elevenlabs.
Level classifies it as a senior role.
Level lists 37 other open roles at Encord.

AI in this role

Build and operate core cloud infrastructure and deployment pipelines for a physical AI and enterprise data platform.

PyTorchDatabricksElevenlabsKubernetesGoogle CloudAWSTerraform

devopsci-cdinfrastructure-as-codecloud-infrastructurereliability

About us

We're solving AI's hardest problem: alignment.

Encord is the data layer for Physical AI and enterprise, serving as core infrastructure for 300+ of the world's leading AI teams, including Woven by Toyota, Hitachi, Skydio, AbbVie and Dyna, Walden and Agility Robotics. From autonomous vehicles and robotics to sports and healthcare, we're solving AI's hardest problem: turning complex, real-world data into production-ready intelligent systems.

We're a team of founders, scientists, quants, researchers, and former Olympians, who’ve helped build some of the most successful companies in Silicon Valley, and alumni of MIT, Stanford, UC Berkeley, Oxford, Cambridge, and Imperial. We’ve raised $110M from legendary technology investors, early backers of companies like Databricks, ElevenLabs and Vercel, and we’re growing at an extraordinary pace.

We're looking for exceptional people who want to help build a category-defining company, operating with high urgency and taking real ownership to help shape the future of AI.

The role

We're looking for a DevOps Engineer with 4+ years of experience to join our growing platform engineering team in London. 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.

What we're looking for

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

Why Encord

Competitive salary, commission, and meaningful equity in a high-growth startup
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Daily team lunches & dinners
Annual learning & development budget
Comprehensive health, dental, and vision coverage
US employees: 18 paid vacation days plus US public holidays
UK employees: 25 paid vacation days plus UK public holidays
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites in & monthly socials

Operating principles

High agency

You see something broken, you fix it or find the person who can. We celebrate the people who solve 90% of a problem before anyone asks.

Build with care & urgency

We bear-hug the customer. Former founders and people from fast-moving, high-stakes environments thrive here.

Self-aware & hungry

We stay warm, self-aware, and genuinely hungry. We elevate our peers, and ego doesn't last long.

Invent in real time

We move toward the ambiguity. We’re pragmatic, resourceful, energized by the fact that there's no playbook.

If you're looking to do the most meaningful work of your career alongside people who push you to be better, we'd love to meet you.

How we rate this

DevOps Engineer at Encord rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

DevOps Engineer is an open job at Encord.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in London.
The job was posted on September 23, 2026.
Seniority: senior.
Applications are handled by Encord. Apply on Encord

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

DevOpsCI/CDInfrastructure As CodeCloud InfrastructureReliabilityPyTorchDatabricksElevenlabs

Questions you could be asked

Tell me about a project where devops was part of your work. What did you do?
Tell me about a project where ci/cd was part of your work. What did you do?
Tell me about a project where infrastructure as code was part of your work. What did you do?
Tell me about a project where cloud infrastructure was part of your work. What did you do?
Tell me about a project where reliability was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: DevOps, CI/CD, Infrastructure As Code, Cloud Infrastructure, and Reliability. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker