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Key skills for this role
We are looking for a capable software engineer who combines strong engineering fundamentals with an enthusiastic, practical approach to AI-assisted development. You should be an exceptional early-career developer who learns quickly and has a strong record of technically demanding builds.
This is not a role for someone who uses AI without understanding the code or is limited to occasional autocomplete. We want engineers who can reason about systems independently, then use agents to explore, implement, test and ship substantially faster.
Build and ship features for customer-facing multi-cloud AI compute products
Use and develop coding agents for implementation, testing, and documentation day-to-day, with senior review on higher-risk changes
Take ownership of the correctness and security of your own code, agent-generated or not
Operate within cloud-native systems across multiple providers; diagnose day-to-day issues in Linux, network, container and cloud environments
Work with founders, engineers and customers on defined pieces of larger projects, turning clear requirements into shipped code
Try out new AI tools as they're introduced and give feedback on what works
How We Work with AI Agent-assisted engineering is core to the role, not optional. We want engineers who can break ambiguous problems into agent-executable work, give agents the right context and constraints, challenge and verify generated code, and know when to take back control. What you build matters, not how many prompts it took.
1–3 years’ building and shipping real software in a professional setting
AI-native workflow: you use agents actively, can explain where they save you time, and how you verify their output rather than trust it on sight
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More from this employer
Cambridge, GBR
Cambridge, GBR
Cambridge, GBR
Cambridge, GBR
Solid debugging judgment: you can read unfamiliar code, isolate root causes, and assess whether a fix is correct
Being comfortable in Linux, with some practical exposure to deployment/ops (containers, CI/CD, cloud, IaC, or observability)
Someone who takes ownership, has curiosity and clear communication skills
Degree-level education in a technical/scientific discipline
Experience in building backend services, developer tools, or infrastructure products
Hands-on experience with Kubernetes, infrastructure-as-code, or working across multiple cloud providers
Open-source contributions, ambitious personal projects, or other proof of ability outside formal employment (you are welcome to provide links)
Verified company details for this employer are not available yet.
Full-time
Entry · 1+ years experience
Onsite
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