At a Glance
- Tasks: Design and automate AI-enabled platforms using cutting-edge cloud technologies.
- Company: Join Aventum Group, a forward-thinking tech company embracing AI innovation.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a commitment to inclusivity and career advancement.
- Why this job: Be at the forefront of AI technology and make a real impact in cloud engineering.
- Qualifications: Experience in cloud infrastructure and a passion for AI-driven solutions.
The predicted salary is between 63000 - 77000 £ per year.
We are seeking an AI Native Dev Ops / Platform Engineer who combines strong cloud infrastructure and platform engineering expertise with hands‑on experience delivering AI‑enabled platforms, automation, and engineering solutions.
You will design, automate, secure, and operate the Azure platforms that power our products, whilst developing cloud‑native solutions using AI‑first engineering practices.
Working closely with Product Engineering Teams and Technical Leadership, you will build the cloud platforms, infrastructure, deployment pipelines, automation, observability frameworks, and engineering tooling that enable the rapid delivery of both AI‑powered and traditional cloud‑native applications.
We are building an AI‑native engineering capability where AI agents and intelligent automation are increasingly used to design, provision, deploy, operate, and optimise cloud platforms under appropriate governance and control.
- Role Accountabilities
- Dev Ops & Infrastructure
- Build and maintain Infrastructure as Code (Ia C) using Terraform and similar technologies, leveraging AI‑assisted and agent‑driven engineering practices.
- Design resilient, secure, and highly available cloud architectures.
- Deliver cloud‑native infrastructure solutions using Azure Functions, container platforms, and managed cloud services.
- Optimise platform performance, scalability, reliability, and cost.
- Build world‑class deployment pipelines and automation that enable fast and reliable software delivery.
- Create self‑service development environments and platform tooling.
- Drive engineering productivity through AI, automation, self‑service capabilities and platform standardisation.
- Improve release processes and operational excellence across teams.
- CI/CD & Developer Experience
- Build world‑class deployment pipelines and automation that enable fast and reliable software delivery.
- Create self‑service development environments and platform tooling.
- Drive engineering productivity through AI, automation, self‑service capabilities and platform standardisation.
- Improve release processes and operational excellence across teams.
- Reliability & Observability
- Implement monitoring, logging, tracing, and alerting solutions.
- Establish platform SRE principles and operational standards.
- Proactively identify and resolve reliability, security, and performance issues.
- Lead incident response and continuous improvement initiatives.
- Security & Governance
- Embed security throughout the software delivery lifecycle.
- Implement security, governance, compliance, and operational controls across production environments.
- Build, operate, and continuously improve platforms that enable AI agents to provision, test, deploy, configure, and manage cloud solutions safely, securely, and at scale.
- Develop guardrails, governance controls, and approval workflows for AI‑driven infrastructure and platform operations.
- Drive the use of AI technologies to improve engineering productivity, operational efficiency, platform reliability, and solution delivery.
- Create reusable AI platform services and automation capabilities.
- Support model serving infrastructure and AI observability tooling.
- AI Platform Engineering
- Build, operate, and continuously improve platforms that enable AI agents to provision, test, deploy, configure, and manage cloud solutions safely, securely, and at scale.
- Develop guardrails, governance controls, and approval workflows for AI‑driven infrastructure and platform operations.
- Drive the use of AI technologies to improve engineering productivity, operational efficiency, platform reliability, and solution delivery.
- Create reusable AI platform services and automation capabilities.
- Support model serving infrastructure and AI observability tooling.
- Proud member of the Disability Confident employer scheme
- AI Native Dev Ops Platform Engineer
- Company: Aventum Group
Location: London, EC3R 8AF
Working pattern: Hybrid - 2 days remote
Job type: Permanent
Posting date: 10 Aug 2026
Closing date: 9 Sept 2026
Summary
We are seeking an AI Native Dev Ops / Platform Engineer who combines strong cloud infrastructure and platform engineering expertise with hands‑on experience delivering AI‑enabled platforms, automation, and engineering solutions.
You will design, automate, secure, and operate the Azure platforms that power our products, whilst developing cloud‑native solutions using AI‑first engineering practices.
Working closely with Product Engineering Teams and Technical Leadership, you will build the cloud platforms, infrastructure, deployment pipelines, automation, observability frameworks, and engineering tooling that enable the rapid delivery of both AI‑powered and traditional cloud‑native applications.
We are building an AI‑native engineering capability where AI agents and intelligent automation are increasingly used to design, provision, deploy, operate, and optimise cloud platforms under appropriate governance and control.
- Role Accountabilities
- Dev Ops & Infrastructure
- Build and maintain Infrastructure as Code (Ia C) using Terraform and similar technologies, leveraging AI‑assisted and agent‑driven engineering practices.
- Design resilient, secure, and highly available cloud architectures.
- Deliver cloud‑native infrastructure solutions using Azure Functions, container platforms, and managed cloud services.
- Optimise platform performance, scalability, reliability, and cost.
- CI/CD & Developer Experience
- Build world‑class deployment pipelines and automation that enable fast and reliable software delivery.
- Create self‑service development environments and platform tooling.
- Drive engineering productivity through AI, automation, self‑service capabilities and platform standardisation.
- Improve release processes and operational excellence across teams.
- Reliability & Observability
- Implement monitoring, logging, tracing, and alerting solutions.
- Establish platform SRE principles and operational standards.
- Proactively identify and resolve reliability, security, and performance issues.
- Lead incident response and continuous improvement initiatives.
- Security & Governance
- Embed security throughout the software delivery lifecycle.
- Implement security, governance, compliance, and operational controls across production environments.
- Champion secure AI deployment practices.
- AI Platform Engineering
- Build, operate, and continuously improve platforms that enable AI agents to provision, test, deploy, configure, and manage cloud solutions safely, securely, and at scale.
- Develop guardrails, governance controls, and approval workflows for AI‑driven infrastructure and platform operations.
- Drive the use of AI technologies to improve engineering productivity, operational efficiency, platform reliability, and solution delivery.
- Create reusable AI platform services and automation capabilities.
- Support model serving infrastructure and AI observability tooling.
- Proud member of the Disability Confident employer scheme
- About Disability Confident
Disability Confident is a government scheme. It encourages employers to recruit and retain disabled people and those with long term health conditions.
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AI Native DevOps Platform Engineer in London employer: Allscreens Nationwide Ltd
Allscreens Nationwide is an exceptional employer, offering a supportive team culture where employees are valued and encouraged to thrive. With access to state-of-the-art training facilities and opportunities for career progression, our Automotive Glazing Technicians in Birmingham can expect not only competitive bonuses but also the chance to work with the latest technology in the industry. Join us and be part of a company that prioritises both employee well-being and customer satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land AI Native DevOps Platform Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Allscreens Nationwide Ltd or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Allscreens Nationwide Ltd.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Allscreens Nationwide Ltd.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace AI Native DevOps Platform Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Allscreens Nationwide Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Allscreens Nationwide Ltd and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Allscreens Nationwide Ltd
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Allscreens Nationwide Ltd uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
