National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

DevOps Engineer with AWS

Nexus
Leeds
5 months ago
Applications closed

Related Jobs

View all jobs

Principal MLOps/GenAI Infrastructure Engineer

Principal MLOps/GenAI Infrastructure Engineer

MLOps Engineer (UKIC DV Cleared)

MLOps Engineer (UKIC DV Cleared)

MLOps Engineer (UKIC DV Cleared)

MLOps Engineer (UKIC DV Cleared)

Job Description

DevOps Engineer with AWS

To successfully build and deliver our next-generation cloud-hosted and cloud-native technology platforms.

You will work within product teams responsible for the full software development life cycle, from conception to deployment.

You will support the teams to ensure that solutions and products being developed consider all functional and non-functional requirements including support, maintenance, capacity, security and with a focus on performance.

In addition, you will use your skills and experience to help implement DevOps practices across all of IT and drive the modernisation of our platform going forwards.

Key accountabilities

Build and maintain production and non-production environments to ensure high availability and cost optimization

Build and maintain continuous integration and deployment pipelines to achieve fast, effect software delivery Improve performance and scalability of existing systems to meet functional and non-functional requirements Monitor and troubleshoot infrastructure related issues to minimize incidents and achieve resolution SLAs Develop and document best practices for application build and deployment (CI/CD) Contribute to ensuring that applications perform to user expectations and are continuously improved and maintained Work with the Lead Software Engineers, Architecture team and the Solution Delivery teams to contribute to the on-time delivery of solutions and applications Obtain guidance and approval as required to advance activities and resolve issues Communicate regularly regarding the status of current software delivery activities, actively participating in all relevant Scrum ceremonies Maintain an up to date working knowledge of industry best practice in the areas of software engineering and development, supporting and mentoring Solution Delivery teams where necessary

 BS/MS degree in Computer Science or 4-8 years related experience

AWS Certification(s) such as Solutions Architect Pro, DevOps Engineer Pro, SysOps Admin, Developer Associate. Ability to work effectively within a team and autonomously with minimal supervision Be confident with Infrastructure as Code and code release strategies. Have experience with application and infrastructure monitoring. Experience implementing and designing cloud native security concepts, DevSecOps, or MLOps. Agile development techniques and Project management (SCRUM, KANBAN etc.) You’ll be familiar with a cloud-native approach You have a curiosity for new technologies and a thirst for automation, standardisation, continuous integration and continuous delivery Strong interpersonal skills with the ability to deal with individuals (internal and external) at all levels The ability to support people through change A strong problem solver and a self-starter with a ‘can do’ attitude.

You will speak fluent English with excellent verbal and written communication skills

Proficient with Git and Git workflows Exceptional understanding of AWS, containerisation technology, infrastructure and strong technical design skills. Experience with the full software development lifecycle and delivery using Agile practices. Automating cloud native technologies, deploying applications, and provisioning infrastructure. Infrastructure as Code, using CloudFormation, Terraform, or other tools. Azure DevOps Pipelines JIRA & Confluence Knowledge of IP networking, VPN's, DNS, load balancing and firewall.

Develop platforms with scalability, security and performance in mind, leveraging the cloud.

5+ years of experience as a technical specialist. 2+ years of hands-on experience of programming in languages such as .Net, Java, C++, Python, Ruby, Go, Swift or similar object-oriented language. Experience with AWS - including but not limited to EC2, S3, RDS, Lambda and CloudFormation Experience of SQL and Windows severs would be beneficial Hands-on experience with microservices and distributed application architecture, such as containers, Kubernetes, and/or serverless technology. Proficient in leveraging CI/CD tools to automate testing and deployment An expert who can create tooling and automation which improve developer experiences and speed of delivery. Experienced in working in an agile environment (Scrum / Kanban). You’ll be someone who is happy to work independently or collaboratively on multiple tasks.

Overall you are a highly motivated DevOps engineer who is passionate about writing excellent code, have strong communication skills and keen to continuously learn and share knowledge with other

The Client is happy to consider 2 days a week in the office or at a push 2 days a month.

Salary circa £60K - £80K + Benefits.

Please do send your CV to us in Word format along with your salary and availability.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.