Linux infrastructure engineer Work, Jobs in Cambridge, Eng (with Salaries)

Software Engineer - AI-Native Cloud Infrastructure
CommonAI C.I.C. —Cambridge
- Full-time
- Software troubleshooting
- Bachelor's degree
- AI
Quick apply
12h
Staff Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Annual leave
Senior Private Cloud Engineer
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- DevOps
Power and Performance Engineer, PAI Platforms and Performance Analysis
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Engineering
- Analysis skills
- No degree
Senior Machine Learning Engineer
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Annual leave
- Life insurance
Quick apply
13d
Infrastructure Team Lead
Speechmatics —Cambridge
- Hybrid work
- Team management
- Training & development
- Communication skills
Principal Software Engineer
Aveva —Cambridge
- Full-time
- Hybrid work
- Analysis skills
- Annual leave
Senior Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Annual leave
Senior AI & Compute Systems Engineer, Workforce Development
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- Computer Science
- Software troubleshooting
- Machine learning
Senior Engineer (Servers and Storage) (Fixed Term)
University of Cambridge —Cambridge
- £42,254 - £48,822 a year
- Computer networking
- Communication skills
- School
- Annual leave
6d
Senior Cyber Security Engineer
Leidos —Huntingdon
- £61,500 - £78,800 a year
- Full-time
- Travel
- Agile
- Linux
- Annual leave
- Work from home
Staff Software Engineer (ML QA)
Graphcore —Cambridge
- Management
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme
C++ Software Developer / Engineer
Options Technology —Cambridge
- Full-time
- Research
- Project management
- Organisational skills
Quick apply
Senior Embedded & Platform Software Engineer, Workforce Development
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- Computer Science
- Software troubleshooting
Senior Software Engineer (ML QA)
Graphcore —Cambridge
- Machine learning
- Mentoring
- Annual leave
System Software Engineer
Graphcore —Cambridge
- Annual leave
- Employee assistance programme
Senior/Principal Rust Engineer
lowRISC CIC —Cambridge
- £68,947 - £106,554 a year
- Full-time
- English
- Linux
- Life insurance
Quick apply
Senior/Principal Software Engineer
lowRISC CIC —Cambridge
- £68,947 - £106,554 a year
- Full-time
- Computer Science
- English
- No degree
- Life insurance
Quick apply
Software Performance Architect
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- Analysis skills
- Communication skills
Staff System Software Engineer
Graphcore —Cambridge
- Communication skills
- Annual leave
- Employee assistance programme

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Software Engineer - AI-Native Cloud Infrastructure

CommonAI C.I.C.
Cambridge

Quick apply

Job details

Full-time
12 hours ago

Benefits

On-site gym

Qualifications

CI/CD
Technical troubleshooting
Software troubleshooting
Bachelor's degree
CI/CD pipelines
Cloud development
Back-end development
Root cause analysis
AI
Software development or architecture experience
Communication skills
Infrastructure provisioning automation
Debugging

Full job description

CommonAI is building shared infrastructure and products that help organisations develop and deploy deep-tech AI systems.

CommonAI Compute, part of the CommonAI ecosystem, develops multi-cloud compute products and services for AI teams. We work with commercial, government and research partners to accelerate the adoption of AI across the UK and Europe.

We are a member of the UK government-funded £70 million Scaling Inference Programme, which is advancing AI inference hardware and software infrastructure. CommonAI is also backed by Barclays through programmes focused on deploying AI in regulated markets. Work across these programmes informs and supports our commercial product development.

The Opportunity

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.

What You'll Do

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.

Requirements

Essential

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
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

Particularly Valuable

Experience in building backend services, developer tools, or infrastructure products
Hands-on experience with Kubernetes, infrastructure-as-code, or working across multiple cloud providers

Benefits

High-impact work on ground-breaking AI and cloud infrastructure problems
A collaborative and supportive engineering environment
The opportunity to influence products and technical direction at an early stage
A competitive salary and stock-option package
Professional development and access to a network spanning technology, government and academia
A Cambridge office a few minutes’ walk from the railway station, with free snacks and an on-site gym

Quick apply

Refine Your Search

linux infrastructure engineer jobs in cambridge, eng

Software Engineer - AI-Native Cloud Infrastructure

Staff Engineer (ML Engineer)

Senior Private Cloud Engineer

Power and Performance Engineer, PAI Platforms and Performance Analysis

Senior Machine Learning Engineer

Infrastructure Team Lead

Principal Software Engineer

Senior Engineer (ML Engineer)

Senior AI & Compute Systems Engineer, Workforce Development

Senior Engineer (Servers and Storage) (Fixed Term)

Senior Cyber Security Engineer

Staff Software Engineer (ML QA)

C++ Software Developer / Engineer

Senior Embedded & Platform Software Engineer, Workforce Development

Senior Software Engineer (ML QA)

System Software Engineer

Senior/Principal Rust Engineer

Senior/Principal Software Engineer

Software Performance Architect

Staff System Software Engineer

I want to receive the latest job alerts for linux infrastructure engineer in cambridge, eng

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