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Duku AI

DevOps Engineer

Posted 7 Hours Ago
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In-Office
London, Greater London, England, GBR
Entry level
In-Office
London, Greater London, England, GBR
Entry level
Design, build, and operate cloud infrastructure for autonomous testing agents. Own CI/CD, infrastructure as code, Kubernetes-based workloads, observability, alerting, incident response, reliability, cost optimization, security, and platform scalability. The role requires operating production systems under real load and enabling fast, confident software delivery.
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Change Software Forever


Most engineering roles build software nobody fully trusts. This one builds the trust layer itself. AI is making engineers dramatically more productive. The problem is nobody fully trusts what AI ships.


Why this matters now


AI is rewriting how software gets built. But shipping still breaks on testing. Engineering leaders are desperate to release faster without dropping quality, and they can't get there with manual QA or brittle test automation.

Here's the bigger shift: as AI writes more of the code, the bottleneck moves from generating software to trusting it. Nobody owns that trust layer yet. Duku is building it, autonomous agents that simulate real users, catch critical failures before production, and self-heal as the product evolves.


Backed by experienced operators and investors, we're building what we believe will become a core layer of the modern software stack. We're looking for an exceptional DevOps Engineer to help build it. Not someone to maintain a codebase. Someone to define one.

What You'll Do

Own the platform: Design, build, and operate the cloud infrastructure that runs our autonomous testing agents, from commit to production

Make shipping effortless: Build and harden CI/CD pipelines so engineers deploy daily with confidence, not anxiety

Infrastructure as code: Define everything in Terraform/Pulumi, reproducible, reviewable, and disposable

Scale the agents: Run containerised, orchestrated workloads on Kubernetes that spin up and tear down thousands of simulated user sessions on demand

Own reliability: Design observability, alerting, and incident response so we catch failures before customers do

Tame cost and performance: Keep the cloud bill sane while the workload grows 10x


What We're Looking For

Relentless drive: You execute fast, adapt faster

Startup scar tissue: You've kept production alive with no safety net

Cloud fluency: AWS/GCP, containers, Kubernetes, networking, IAM, you've built it, not just configured it

Automation reflex: If you've done it twice by hand, you've already scripted the third time

Reliability obsession: You care more about uptime and recovery than dashboards that look pretty

Security-aware by default: Secrets, least privilege, and supply-chain hygiene are habits, not afterthoughts


Ideal Background

There's no perfect pedigree. We hire for mindset, not credentials. That said, you might have:

Built and scaled infra for a high-velocity product from 0 to 1

Owned CI/CD and platform tooling for a fast-shipping engineering team

Run production workloads on Kubernetes under real load

Thrived in chaos with high ownership


Why This Matters

Software is accelerating. The infrastructure under it has to keep up. As AI ships more code faster, the platform that tests, deploys, and trusts that code becomes the bottleneck, or the unlock.

Five years from now, every high-velocity team will run on infrastructure like the one you'll build here. Join now, and help make that future real, before someone else does.

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