USDevOps Engineer (AI-First Platform Engineering)
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Key points
- 17/07/26
- North East, Peterlee
- £500 - 525 per day
- Contract
- Cloud Infrastructure, SRE & DevOps
- Full time
Job role
Senior DevOps Engineer (AI-First Platform Engineering)
Remote | 3-Month Contract | £525 per day | Outside IR35
We're seeking an experienced Senior DevOps Engineer to join a growing Platform Engineering function on an initial 3-month contract.
This is an opportunity to work at the forefront of modern cloud engineering, supporting a business as it transitions towards an AI-first engineering model. You'll be responsible for maintaining and evolving Azure-based platforms, driving automation, supporting cloud infrastructure at scale and helping embed AI-assisted delivery practices across the engineering lifecycle.
Working across both established services and emerging AI-driven workloads, you'll play a key role in ensuring the platform remains secure, scalable, cost-effective and ready for future growth.
Why Join?
- Be part of an organisation actively embracing AI-first engineering and software delivery.
- Work with modern Azure, Kubernetes and Infrastructure-as-Code technologies.
- Influence platform automation, DevSecOps and cloud engineering best practices.
- Gain exposure to AI-enabled infrastructure and next-generation cloud delivery models.
- Join a collaborative engineering environment focused on innovation and continuous improvement.
Key Responsibilities
- Design, build and support secure, scalable, highly available and cost-optimised cloud infrastructure.
- Deliver infrastructure through Infrastructure as Code using modern automation practices.
- Support the evolution of an AI-first engineering approach across platform delivery.
- Build, manage and optimise Kubernetes services within Azure environments.
- Create and enhance CI/CD pipelines to support continual delivery.
- Implement DevSecOps principles, embedding security throughout the development lifecycle.
- Monitor platform availability, performance and reliability while supporting incident resolution.
- Manage cloud networking, compute and storage services with a focus on operational excellence and cost control.
Requirements
- Proven experience as a Senior DevOps Engineer within Azure cloud environments.
- Strong expertise in Terraform, Azure DevOps, YAML and ARM templates.
- Extensive Kubernetes experience including containerisation and Helm chart management.
- Strong scripting and automation skills using PowerShell, Bash and Python.
- Experience designing, building and supporting CI/CD pipelines and Infrastructure as Code frameworks.
- Strong understanding of cloud security, DevSecOps and secure platform architecture.
- Experience operating within AI-assisted or AI-enabled software delivery environments and overseeing AI-generated outputs.
- Working knowledge of .NET workloads and Linux-based environments.
Desirable Experience
- Deploying and supporting AI or machine learning workloads in Azure.
- Securing AI services, endpoints and AI infrastructure.
- Experience with Bicep, AWS and Enterprise Landing Zone principles.
- Knowledge of observability platforms such as Prometheus, Grafana or SigNoz.
- Strong understanding of FinOps, cloud governance and identity security.
Key Technologies
Azure | Azure DevOps | Terraform | Kubernetes | AKS | Helm | Infrastructure as Code | CI/CD | DevSecOps | PowerShell | Bash | Python | ARM Templates | YAML | .NET | Linux | AI-Assisted Engineering | AI Workloads | Cloud Security
Location: Remote
Contract Length: 3 Months
Rate: £525 per day
IR35 Status: Outside IR35
Contract Length: 3 Months
Rate: £525 per day
IR35 Status: Outside IR35
We welcome applicants from all backgrounds. Our Client are an equal opportunities employer. Xpertise is acting as an employment agency & business.
At Xpertise, we keep things human, your application will always be reviewed by a real person.
We do not rely on AI or automated screening tools. Every candidate receives fair, considered attention from our team.
Right to work in the UK is required for this role.
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