Cloud Infrastructure Engineer (AWS)
TfGM Greater Manchester (Piccadilly Place)
Are you a SME on the AWS Stack? Does working with complex and interesting systems that provide daily challenges appeal to you? Would you like the opportunity to play a role in the future Digital infrastructure at Transport for Greater Manchester? We are seeking an experienced Infrastructure Engineer with a background in Digital Operations/Systems to help transform Transport for Greater Manchester’s infrastructure to a fully automated and optimised digital service to be proud of. This is a great opportunity to join a fast growing and exciting team who are providing services that have far-reaching and pivotal roles for the traveling public. We know that better digital services in government will mean better public services, with the power to make a real difference to the lives of Greater Manchester citizens. Who are we? Transport for Greater Manchester (TfGM) is responsible for delivering Greater Manchester’s future transport strategy and commitments.This is a busy and exciting time for us: under the devolution agreement and with Greater Manchester at the heart of the Northern Powerhouse, transport will play a vital role in supporting growth and prosperity in the UK’s largest regional economy outside London.Our vision is for world class connections that support long-term, sustainable economic growth and access to opportunity for all. To achieve this, we have ambitious plans to establish a fully integrated, high capacity transport system across Greater Manchester becoming a digital transport operator keeping the city, region moving and growing, helping people in Greater Manchester make over 6 million journeys a day. Some of the tools, techniques and technologies we use and continue to develop and evolve include Amazon Web Services, Microsoft Azure, Public / Private Cloud Services, UX and Modern Web Development with React, Micro Service integration architectures, Test Automation, Key Management and Security Tooling, Elastic Search, Insight and Analytics using Data Warehouse as a Service, CCTV, Internet of Things, Mobile Apps, Chatbots, Machine Learning, DevOps and Continuous Integration/Continuous Deployment, Operational and Security Monitoring, Software Defined Networking, Data and Network Security and much, much, more. Your Role As our Cloud Infrastructure Engineer (AWS) at TfGM you will be responsible for continuously improving the infrastructure, developing and deploying cloud environments, automate all that can be automated, help engineers work more efficiently and improve the tools that TfGM already deploys. In this role you will help resolve issues that occur and be proactive in supporting the teams to find innovative solutions. You will also be involved in contributing your ideas to platform architecture and design to drive continuous improvement. What you’ll bring What you do and how you do it is important whatever type of role you work in at TfGM and even small behaviours and actions can have a really big impact. At TfGM, our behaviours bring to life our values of Deliver, Care and Adapt. You will be able to demonstrate the skills and experience in the following key areas: Good experience as a Cloud engineer, preferably from an infrastructure background (System Engineer, Infrastructure Engineer, Site Reliability Engineer) Demonstratable experience with public and private clouds Good knowledge of containerisation and orchestration. Advanced experience in security and service monitoring Expertise with Linux and all surrounding flavours is a huge bonus Experience and knowledge of - Terraform, CDK, AWS, Azure, OpenStack, Ansible,Jenkins, Azure DevOps, GitHub, Docker, Jira, Networking, scripting (PowerShell, bash, Python), Microsoft and Linux operating systems. What we can offer you This is a 2 year fixed term role and comes with a salary of £61,532 - £67,195 inc MFS per annum depending on experience. This is comprised of base salary plus market supplement, (£50,532 - £56,195 + plus MFS £11,000, the market supplement is paid monthly and reviewed as required). At TfGM we encourage candidates to discuss flexible working options at any stage of the recruitment process. We are happy to #talkflexibleworking to help colleagues maintain a healthy work life balance. Our benefits include: What's next? If you believe you have the skills and experience required, we’d really like to hear from you. To apply please submit your CV and also provide a covering letter providing clear examples of how your experience meets the requirements of the role, all appointments will be based on merit. Our short-listing process is anonymised, so please do not include your name or contact details on either of these documents. If any personal details are included these will be visible to the hiring manager. Please note we may close the advert early if we receive a high volume of applications. NOTE TO AGENCIES we will be accepting direct applications only for this role. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral CV.
The scale of change, the size of the investment and the dedicated team we have in the business today make it an exciting place to work with a lot of scope to deliver first-class products and services and continue your own personal development journey. There is a dress-down culture, a dynamic working environment andwith a culture that collaborates, shares, continually learns, challenges and embraces better ways of doing things to continually meet user needs through technology and data.
The breadth of what we do is wide and varied, and we are innovating fast.Supporting Documents
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Location
2 Piccadilly Place, , Manchester, M1 3BG, United Kingdom
Job ID
1621
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Applying Authentically With AI: Our Greater Manchester Approach
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This guidance outlines acceptable and unacceptable uses of AI, along with suggestions for using it in a way that supports you while keeping your application true to you.
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When it comes to recruitment, we take a human-centred approach.
This means:
A trained hiring manager reads every application
Shortlisting is based on objective criteria required for the job
Interviews are conducted in person or via teams by the hiring manager for the role
All hiring decisions are made by hiring managers, not algorithms
AI does not make decisions in our recruitment process and our managers are being upskilled to spot AI in applications, particularly when this might have been used in a way that doesn’t feel genuine. If something in an application raises a question or concern, we will test this out with assessments or at the interview stage to confirm authenticity.
Our aim isn’t to catch anyone out but to make sure we’re getting to know the real you, giving every candidate a fair chance and finding the right person for the role.
Using AI in Your Application
When it comes to job applications, what matters most to us is you. We want to see your personality, your experience, and what excites you about joining our team.
We recognise that AI can be a helpful tool to support accessibility during the application process. If you choose to use AI for support, please read the instructions carefully and make sure your application is written in your own words, reflecting your genuine skills, knowledge, experience and enthusiasm.
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How to use AI Effectively and Responsibly
Your application is your chance to show us:
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What you can bring
The values you hold
Why you want to make a difference
AI can help you organise your thoughts or improve clarity but it cannot express your unique voice, experiences, or motivations.
AI is most helpful when used to:
Help you structure the information you are providing to evidence the criteria
Give examples of how to use STAR (Situation, Task, Action, Result)
Proof-read to highlight grammar or spelling errors
Provide inspiration if you're finding it difficult to find the right words to explain something
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Do’s and Don’ts for Using AI in the Recruitment Process
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Use AI as a supportive tool, not a replacement
Ask AI to help tidy up your writing or clarify structure
Use it to brainstorm examples, then rewrite them in your own voice
Reflect on AI suggestions and adapt them to match your experience
Use AI to help with research, but express your understanding yourself
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Copy and paste AI-generated content directly into your application
Let AI exaggerate or invent experience you do not have
Rely on generic statements that don’t reflect the specific role requirements
Remove your individuality, we want to hear your voice
