At a Glance
- Tasks: Lead the development of enterprise-scale AI platform capabilities and optimise cloud infrastructure.
- Company: Join a major public sector programme focused on innovative AI solutions.
- Benefits: Competitive daily rate, fully remote work, and long-term contract until March 2027.
- Other info: Embrace diversity and inclusion in a supportive community that values your unique perspective.
- Why this job: Shape the future of AI technology while working in a dynamic and collaborative environment.
- Qualifications: Extensive experience in Platform Engineering, DevOps, and Cloud Infrastructure, especially with AI platforms.
The predicted salary is between 63000 - 77000 £ per year.
- Principal Dev Ops Engineer (AI Platform)
- £751/day Umbrella | Fully Remote | SC Cleared | Contract to March 2027
We're supporting a major public sector programme seeking an experienced Principal Dev Ops Engineer to lead the development of enterprise-scale AI platform capabilities.
This is a senior technical leadership role focused on building the cloud, automation, governance and platform foundations that enable the secure delivery of AI products, services and solutions at scale.
You'll work at the forefront of AI platform engineering, helping shape the infrastructure and tooling that supports next-generation AI adoption across a large, complex organisation.
Key Responsibilities
- Design, build and optimise enterprise AI platform capabilities across Azure and AWS environments
- Develop AI landing zones, engineering environments and experimentation platforms
- Implement Infrastructure as Code (Ia C), automation and self-service platform capabilities
- Build and maintain CI/CD and MLOps pipelines supporting AI solution delivery
- Enable secure integration of AI services, APIs, agents, foundation models and orchestration frameworks
- Develop observability, monitoring, logging and operational support capabilities
- Establish platform governance, security controls and operational guardrails
- Support deployment, scaling and management of AI-powered products and services
- Evaluate emerging AI technologies and platform tooling
- Drive optimisation of platform performance, resilience and cloud costs
- Create reusable services, templates, accelerators and reference architectures
- Provide technical leadership across engineering, data and AI teams
- Ensure alignment with architecture, security and governance standards
Essential Experience
- Extensive Platform Engineering, Dev Ops and Cloud Infrastructure experience
- Proven background building and operating AI platforms within Azure and AWS
- Experience with Azure AI Foundry, AWS Bedrock and related AI ecosystem services
- Strong MLOps, Dev Ops and CI/CD expertise
- Infrastructure as Code experience using Terraform, Bicep and/or Cloud Formation
- Containerisation and orchestration technologies including Docker and Kubernetes
- API management, integration architectures and event-driven systems
- Monitoring, observability and operational support tooling
- Cloud security, identity management, governance and compliance controls
- Experience supporting AI agents, RAG architectures, model integrations and orchestration frameworks
- Fin Ops and cloud cost optimisation experience
- Strong automation and scripting capabilities
- Ideal Profile
- Passion for emerging AI technologies
- Strategic mindset with strong technical leadership capability
- Able to balance innovation, security, risk and cost considerations
- Strong focus on automation and engineering excellence
- Excellent stakeholder management and communication skills
- Comfortable working within evolving and ambiguous environments
- Collaborative, delivery-focused and proactive approach
Reasonable Adjustments
Respect and equality are core values to us.
We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives.
Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
Principal DevOps Engineer (AI) in London employer: Sanderson Government & Defence
As a PAM Consultant with our esteemed consulting client, you will thrive in a dynamic work culture that prioritises innovation and collaboration. The company offers robust employee growth opportunities, including continuous training in cutting-edge security practices, while fostering a diverse and inclusive environment that values every individual's contribution. Located in the UK, this role not only provides competitive benefits but also the chance to make a meaningful impact on clients' security postures through your expertise in Privileged Access Management.
Contact Details:
Sanderson Government & Defence Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Principal DevOps Engineer (AI) in London
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We think you need these skills to ace Principal DevOps Engineer (AI) 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 Sanderson Government & Defence.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Sanderson Government & Defence 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 Sanderson Government & Defence
✨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 Sanderson Government & Defence 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.