ai product developer

aws devops engineer

aws platform engineer

cloud delivery engineer

cloud engineer (aws)

cloud engineer ai

evoke

<div></div><div><div><div><div><div>Advertising location</div>
<div>Leeds</div>
</div><div><div>Hours</div>
<div>37.5</div></div></div></div></div>
<br><div><div><div><div><div>Job description</div>
<div><div><div>An exciting opportunity has arisen for a Cloud Engineer - AI with a focus on AI to join a newly established team at Evoke.</div><br>
<div></div><br>
<div>In this role, you will help build, operate, and continuously evolve evoke&rsquo;s AI platforms within one of the fastest-moving areas of modern technology. You&rsquo;ll play a key role in delivering robust, scalable core services and infrastructure that support Machine Learning and Agentic AI solutions across the business.</div><br>
<div></div><br>
<div>You&rsquo;ll be joining a newly formed team of engineers focused on building, maintaining, and evolving evoke&rsquo;s next-generation AI platforms, including our Machine Learning and Agentic AI cores.</div><br>
<div></div><br>
<div>As part of the wider Cloud team, you&rsquo;ll collaborate with a multi-disciplinary group of engineers, working primarily with AWS technologies and third-party integrations to deliver an AI platform designed for an ambitious and innovative future.</div><br>
<div></div><br>
<div>Working closely with platform, cloud, and engineering teams, you will be responsible for:</div><br>
<div></div><br>
<div><b>What you will be doing</b><br>
</div><div></div><br>
<div><ul><li>Designing, developing, testing, and maintaining cloud-native software and services across AWS and third-party integrations</li>
<li>Building and improving the core infrastructure that powers evoke&rsquo;s AI and Machine Learning platforms</li>
<li>Developing expertise in AWS AI technologies, including services such as Amazon Bedrock and SageMaker</li>
<li>Providing technical support and operational ownership for evoke&rsquo;s core AI platforms and services</li>
<li>Contributing to platform reliability, observability, automation, and operational excellence</li>
<li>Participating in an on-call support rota to help provide 24/7 platform support</li><br>
</ul></div><div></div><br>
<div><b>Who we are looking for</b><br>
</div><div></div><br>
<div>We are committed to responsible gambling, and we are looking for people who can support our ethos. To apply to this post, you will have:</div><br>
<div></div><br>
<div><ul><li>Proven experience in a similar Cloud, Platform, or Infrastructure Engineering role</li>
<li>Strong expertise in AWS cloud technologies, including AI and Machine Learning services such as Amazon Bedrock and SageMaker</li>
<li>Solid understanding of Agentic AI concepts and supporting technologies, including platforms such as AWS AgentCore</li>
<li>Strong knowledge of Kubernetes and Infrastructure as a Code</li>
<li>Experience designing, operating, and supporting cloud-native platforms and distributed systems</li><br>
</ul></div><div></div><br>
<div><b>What we offer:</b><br>
</div><div></div><br>
<div>Our roles offer more than just a job, you&rsquo;ll become part of the evoke family! We have created an environment where our people can thrive. Check out some of the fantastic benefits on offer:</div><br>
<div></div><br>
<div><ul><li>Family Support - Industry-leading maternity and paternity leave and paid time off if you have caring responsibilities.</li>
<li>Perks and discounts - Discounts at a range of high-street retailers</li>
<li>Financial compensation, pension, and bonus schemes.</li>
<li>Health &amp; wellbeing - Tools and services to help support your well-being, including support with mental health and financial education. You will also have access to gym discounts and our cycle to work scheme.</li>
<li>Hybrid working - Our employees can work from home up to 80% of the time with 20% of office time built in to ensure we get some face-to-face collaborative team time - and the chance for a coffee and a catch-up!</li><br>
</ul></div><div></div><br>
<div><b>More about evoke:</b><br>
</div><div></div><br>
<div>We&rsquo;re a business that embraces change and progress. The power behind big name brands William Hill, 888 and Mr Green, evoke is the new name for 888 Holdings. Marking a new sense of purpose, direction and ambition for the business, there couldn&rsquo;t be a more exciting time to join us as we accelerate our journey to bring even greater delight to our customers with world-class betting and gaming experiences. That&rsquo;s the future. That&rsquo;s evoke.</div><br>
<div></div><br>
<div>At evoke, you&rsquo;ll benefit from flexibility and a culture built on trust. We&rsquo;ll give you the space to be yourself and the tools you need to protect our customers while they play. We&rsquo;ll invest in your future to help you develop your unique strengths and build a career that&rsquo;s right for you.</div>
<div></div><div><b>Apply:</b><br>
</div><div></div><br>
<div>At evoke, we prioritise diversity, equity, and inclusion for the benefit of our company, employees, and communities. We foster a welcoming and safe workplace that values all forms of diversity and provides opportunities for growth.</div><br>
<div></div><br>
<div>Sound good? Then you belong at our place! The first step in the recruitment process is kickstarting your application, followed by an initial screening call and an interview stage.</div><br>
<div></div><br>
<div>Apply today to kickstart your application with the evoke Family!</div><br>
</div><div></div><br>
<br>
<div>Business evoke</div></div></div></div></div></div>

Cloud Engineer - AI

Codurance

<div><p>Codurance is a global software consultancy, focused on raising the bar in the software industry through supporting tech communities and working with our clients. We help our clients build remarkable digital products, evolve strategic legacy systems, and equip them to continuously deliver value through the adoption of quality practices and expertise.</p><p>
We are looking for a Contract Senior Data Engineer who shares our values of craftsmanship, pragmatism, and professionalism. You understand that data engineering is, at its core, great software engineering, applied at scale, with rigour, and with production in mind.</p><p>
Databricks is our primary data engineering platform, and you will be expected to use it fluently, but the goal is always durable, well-crafted data systems, not tool advocacy.</p><p>
This is an initial <b>6-month contract, inside IR35.</b></p><p><b>
What You&rsquo;ll Work On</b></p><p>
Our data engineering engagements fall into three primary shapes:</p><p></p><ul><li>
Data Foundations</li><li>
Data Modernisation, re-platforming legacy ETL, introducing automated testing and data contracts, and aligning data models with application domains</li><li>
AI-Ready Data Enablement, preparing data systems to safely support AI and ML use cases, including feature pipelines, scalable compute, and guardrails around data quality and lineage</li></ul><p></p><p>
These engagements sit within wider software modernisation and platform evolution work, not as standalone data projects. You&rsquo;ll work alongside software craftspeople, architects, and client engineers, with data as one part of a broader delivery picture.</p><p></p><b><br>
Requirements</b><p><br>
You consider yourself a data engineer with strong software engineering instincts. You care deeply about the quality, testability, and operability of what you build, not just whether it runs.</p><p></p><p>
You are comfortable working in small increments, tightening feedback loops, and letting tests inform your pipeline design. You understand that data systems live in production long after they are first delivered, and you build with that in mind.</p><p>
You are a team player who values frequent collaboration with software engineers, data scientists, business analysts and client stakeholders alike. You invest in your craft, stay curious about emerging tooling, and are enthusiastic about sharing what you learn.</p><p></p><p><b>
Data Engineering Practices</b></p><p>
You have solid experience applying software engineering disciplines to data: writing testable pipelines, using version control rigorously, and treating data models as first-class software artefacts. You are familiar with data contracts, schema evolution, and the principles of incremental delivery applied to data work.</p><p></p><p><b>
Platform and Architecture</b></p><p>
You have hands-on experience with Databricks and are comfortable across its core capabilities: Delta Lake, Unity Catalog, Databricks Workflows, and notebook-to-production pipeline patterns. You have a working understanding of lakehouse architecture and medallion design, and can articulate trade-offs clearly to clients and colleagues.</p><p>
Beyond Databricks, experience with the broader data engineering landscape, including tools such as dbt, Apache Spark, and data quality frameworks, is a plus.</p><p></p><p><b>
Data Engineering for ML and AI</b></p><p>
You understand how machine learning and AI systems consume data, and you build the pipelines that feed them to production. You are comfortable with engineering reproducible feature pipelines, managing feature tables in Unity Catalog, and using MLflow for experiment tracking and model registry so that training data and model lineage stay traceable. You prepare and version the datasets that models depend on, and you treat that data with the same rigour you apply to any production system.</p><p></p><p>
You are familiar with the data engineering behind modern AI use cases: building embedding and retrieval pipelines, populating and maintaining vector stores, and assembling the evaluation and ground-truth datasets that make model behaviour measurable.</p><p></p><p><b>
Software Engineering Foundations</b></p><p>
Your data engineering work is grounded in solid software fundamentals. You understand clean code principles, meaningful abstraction, and the difference between code that works and code that can be maintained. You are familiar with CI/CD applied to data pipelines and are comfortable contributing to infrastructure-as-code environments.</p><p></p><p><b>
Observability and Production Readiness</b></p><p>
You understand what it means to run data systems in production. This includes pipeline monitoring, alerting, data quality validation, lineage tracking, and the operational disciplines needed to maintain trust in data over time.</p><p></p><p><b>
Cloud Platforms</b></p><p>
You have experience working on at least one major cloud provider (AWS or Azure) and are comfortable with the infrastructure patterns that underpin modern data platforms. Familiarity with cloud-native services for storage, compute, and orchestration is expected.</p><p></p><p><b>
Collaboration and Client Engagement</b></p><p>
You can work effectively within a client&rsquo;s environment and communicate clearly with both technical and non-technical stakeholders. You understand how to manage expectations, navigate legacy constraints, and make pragmatic decisions under real-world delivery conditions.</p><p></p><p><b>
Legal / Eligibility</b></p><p>
You must be eligible to work in the UK.</p><b><br>
Benefits</b></div><p></p>

Senior Data Engineer (Contract)

<div>
 Codurance is a global software consultancy, focused on raising the bar in the software industry through supporting tech communities and working with our clients. We help our clients build remarkable digital products, evolve strategic legacy systems, and equip them to continuously deliver value through the adoption of quality practices and expertise.
 <br/>
 <br/>
 We are looking for a Contract Senior Data Engineer who shares our values of craftsmanship, pragmatism, and professionalism. You understand that data engineering is, at its core, great software engineering, applied at scale, with rigour, and with production in mind.
 <br/>
 <br/>
 Databricks is our primary data engineering platform, and you will be expected to use it fluently, but the goal is always durable, well-crafted data systems, not tool advocacy.
 <br/>
 <br/>
 This is an initial
 <strong>
  6-month contract, inside IR35.
  <br/>
  <br/>
 </strong>
 <strong>
  What You'll Work On
  <br/>
  <br/>
 </strong>
 Our data engineering engagements fall into three primary shapes:
 <br/>
 <br/>
 <ul>
  <li>
   Data Foundations
  </li>
  <li>
   Data Modernisation, re-platforming legacy ETL, introducing automated testing and data contracts, and aligning data models with application domains
  </li>
  <li>
   AI-Ready Data Enablement, preparing data systems to safely support AI and ML use cases, including feature pipelines, scalable compute, and guardrails around data quality and lineage
   <br/>
   <br/>
  </li>
 </ul>
 These engagements sit within wider software modernisation and platform evolution work, not as standalone data projects. You'll work alongside software craftspeople, architects, and client engineers, with data as one part of a broader delivery picture.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 You consider yourself a data engineer with strong software engineering instincts. You care deeply about the quality, testability, and operability of what you build, not just whether it runs.
 <br/>
 <br/>
 You are comfortable working in small increments, tightening feedback loops, and letting tests inform your pipeline design. You understand that data systems live in production long after they are first delivered, and you build with that in mind.
 <br/>
 <br/>
 You are a team player who values frequent collaboration with software engineers, data scientists, business analysts and client stakeholders alike. You invest in your craft, stay curious about emerging tooling, and are enthusiastic about sharing what you learn.
 <br/>
 <br/>
 <strong>
  Data Engineering Practices
  <br/>
  <br/>
 </strong>
 You have solid experience applying software engineering disciplines to data: writing testable pipelines, using version control rigorously, and treating data models as first-class software artefacts. You are familiar with data contracts, schema evolution, and the principles of incremental delivery applied to data work.
 <br/>
 <br/>
 <strong>
  Platform and Architecture
  <br/>
  <br/>
 </strong>
 You have hands-on experience with Databricks and are comfortable across its core capabilities: Delta Lake, Unity Catalog, Databricks Workflows, and notebook-to-production pipeline patterns. You have a working understanding of lakehouse architecture and medallion design, and can articulate trade-offs clearly to clients and colleagues.
 <br/>
 <br/>
 Beyond Databricks, experience with the broader data engineering landscape, including tools such as dbt, Apache Spark, and data quality frameworks, is a plus.
 <br/>
 <br/>
 <strong>
  Data Engineering for ML and AI
  <br/>
  <br/>
 </strong>
 You understand how machine learning and AI systems consume data, and you build the pipelines that feed them to production. You are comfortable with engineering reproducible feature pipelines, managing feature tables in Unity Catalog, and using MLflow for experiment tracking and model registry so that training data and model lineage stay traceable. You prepare and version the datasets that models depend on, and you treat that data with the same rigour you apply to any production system.
 <br/>
 <br/>
 You are familiar with the data engineering behind modern AI use cases: building embedding and retrieval pipelines, populating and maintaining vector stores, and assembling the evaluation and ground-truth datasets that make model behaviour measurable.
 <br/>
 <br/>
 <strong>
  Software Engineering Foundations
  <br/>
  <br/>
 </strong>
 Your data engineering work is grounded in solid software fundamentals. You understand clean code principles, meaningful abstraction, and the difference between code that works and code that can be maintained. You are familiar with CI/CD applied to data pipelines and are comfortable contributing to infrastructure-as-code environments.
 <br/>
 <br/>
 <strong>
  Observability and Production Readiness
  <br/>
  <br/>
 </strong>
 You understand what it means to run data systems in production. This includes pipeline monitoring, alerting, data quality validation, lineage tracking, and the operational disciplines needed to maintain trust in data over time.
 <br/>
 <br/>
 <strong>
  Cloud Platforms
  <br/>
  <br/>
 </strong>
 You have experience working on at least one major cloud provider (AWS or Azure) and are comfortable with the infrastructure patterns that underpin modern data platforms. Familiarity with cloud-native services for storage, compute, and orchestration is expected.
 <br/>
 <br/>
 <strong>
  Collaboration and Client Engagement
  <br/>
  <br/>
 </strong>
 You can work effectively within a client's environment and communicate clearly with both technical and non-technical stakeholders. You understand how to manage expectations, navigate legacy constraints, and make pragmatic decisions under real-world delivery conditions.
 <br/>
 <br/>
 <strong>
  Legal / Eligibility
  <br/>
  <br/>
 </strong>
 You must be eligible to work in the UK.
</div>


Speechify

<div><p>The mission of Speechify is to make sure that reading is never a barrier to learning.</p>
<p>
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
</p><p>Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.</p>
<p><b>
Overview</b></p>
<p>
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
<p><b>An Ideal Candidate Should Have</b></p>
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
<p><b>What we offer</b></p>
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
<p><b>Think you're a good fit for this job?</b></p>
<p>
Tell us more about yourself and why you're interested in the role when you apply.
<br>
And don't forget to include links to your portfolio and LinkedIn.</p>
<p><b>
Not looking but know someone who would make a great fit?</b></p>
<p>
Refer them!</p>
<p><b>
Speechify is committed to a diverse and inclusive workplace.</b></p>
<p>
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</p></div>

Software Engineer, Data Infrastructure & Acquisition - Leeds, United Kingdom

Brio Digital

<div>
 <p>
  <strong>
   AWS DevOps Engineer
  </strong>
 </p>
 <p>
  <strong>
   Contract:
  </strong>
  Until May 2027
 </p>
 <p>
  <strong>
   Rate:
  </strong>
  &pound;500/day Inside IR35
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Leeds (up to 2 days per month onsite)
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're supporting a major public sector programme seeking an experienced AWS DevOps Engineer to join a cloud engineering team delivering scalable, secure and highly available digital services.
 </p>
 <p>
  You'll play a key role in designing, building and maintaining AWS cloud infrastructure, deployment pipelines and platform automation, whilst supporting the ongoing development of critical services within a regulated environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Strong AWS experience across services including EC2, S3, RDS, Lambda and related cloud-native technologies
  </li>
  <li>
   Proven experience designing and delivering scalable, highly available and high-performance cloud solutions
  </li>
  <li>
   Strong Infrastructure as Code experience using Terraform
  </li>
  <li>
   Extensive experience building and managing AWS Lambda functions
  </li>
  <li>
   Strong Python development skills
  </li>
  <li>
   Experience creating and maintaining CI/CD pipelines using GitHub Actions
  </li>
  <li>
   Strong understanding of cloud security best practices and governance
  </li>
  <li>
   Experience monitoring, troubleshooting and optimising cloud infrastructure
  </li>
  <li>
   Ability to collaborate effectively with engineering, product and delivery teams
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desirable Skills:
  </strong>
 </p>
 <ul>
  <li>
   Experience with Apigee
  </li>
  <li>
   Knowledge of FHIR and HL7 healthcare interoperability standards is helpful
  </li>
  <li>
   Experience working on healthcare, NHS or citizen-facing digital platforms
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Experience:
  </strong>
 </p>
 <ul>
  <li>
   Previous NHS or wider UK Government/Public Sector experience
  </li>
  <li>
   Experience working within secure, highly regulated environments
  </li>
  <li>
   Strong understanding of Agile delivery methodologies
  </li>
  <li>
   Ability to work independently whilst engaging effectively with technical and non-technical stakeholders
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Apply now or email dom@briodigital.io for more information
 </p>
</div>


AWS DevOps Engineer

<div>
 <strong>
  We are actively building diverse teams and welcome applications from everyone.
  <br/>
  <br/>
 </strong>
 <strong>
  Role: Cloud Delivery Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Location: Leeds (SCC operate hybrid working, which comprises of a mix of office and home working)
  <br/>
  <br/>
 </strong>
 <strong>
  Contract Type: Permanent
  <br/>
  <br/>
 </strong>
 <strong>
  Salary Package: competitive salary plus large company benefits, a broad flexible benefits scheme, and 2 paid-for volunteering days a year
  <br/>
  <br/>
 </strong>
 <strong>
  Hours: 9.00 am &ndash; 5.30 pm Monday &ndash; Friday
  <br/>
  <br/>
 </strong>
 <strong>
  Interview Process:
 </strong>
 <strong>
  2-stage process
  <br/>
  <br/>
 </strong>
 <strong>
  Why SCC?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   An inclusive workplace
  </li>
  <li>
   Excellent package: solid basic and company benefits
  </li>
  <li>
   Hybrid working &amp; core hours in line with role requirements
  </li>
  <li>
   Career development and life-long learning opportunities
  </li>
  <li>
   Opportunity to join Europe's largest privately-owned IT Company
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Role purpose:
 </strong>
 The Delivery Engineer is a pivotal position within the Cloud Services Delivery team, taking a solution from a design to reality. Given the wide variety of Azure services and technologies, the Delivery Engineer is required to have a broad knowledge and understanding of the common Azure services as well as the hands-on experience needed to achieve successful outcomes to a high level of
 <br/>
 <br/>
 quality. While designs offer a roadmap and a general framework for solution delivery, the Delivery Engineer's adaptable, inventive, and collaborative mindset is indispensable for surmounting the technical and operational hurdles common when delivering novel solutions.
 <br/>
 <br/>
 Joining our Cloud Services Delivery team means immersing yourself in a culture of innovation and collaboration, where your contributions directly impact the success of our clients and their benefits of cloud adoption. With an extensive suite of Azure services and technologies to be harnessed, you'll have the opportunity to hone your skills and push the boundaries of what's possible in the cloud ecosystem.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Leading the build of innovative customer solutions to a high standard of implementation and technical governance.
  </li>
  <li>
   Implementation\migration\optimisation of customer workloads using a wide range of Azure native technologies, aligned to Cloud Adoption Framework principles
  </li>
  <li>
   Contribute to low-level architecture designs for public cloud solutions, emphasizing robustness, scalability, security, and cost efficiency.
  </li>
  <li>
   Develop a thorough understanding of all of SCC&rsquo;s public cloud managed services and Microsoft&rsquo;s Azure services to ensure efficient implementation of the proposed solutions. Passionate about cloud services, primarily Azure.
  </li>
  <li>
   Work closely with aligned Agile Delivery Managers, Technical Architects, and other internal stakeholders to ensure a &lsquo;right first time&rsquo; approach to delivery, delivered to the highest quality and within agreed timescales.
  </li>
  <li>
   Develop strong relationships with customers and ensure that SCC are always perceived to be valued advisors and technical experts.
  </li>
  <li>
   Assist to continually improve technical delivery methodology, automating where possible using IaC and other methodologies to ensure consistency and integrity while freeing time for other valuable activities. Confidence and the ability to challenge norms and existing processes where tangible improvements can be identified
  </li>
  <li>
   Ensuring that all design and implementations follow information security best practices and any information assurance compliance requirements.
  </li>
  <li>
   Able to stay updated on industry trends, emerging technologies, and best practices in public and hybrid cloud environments. Pursue training and certifications to enhance skills and knowledge.
  </li>
  <li>
   Support the success and development of others in the team
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Infrastructure Skills &ndash; Strong experience with a variety of Azure infrastructure services including virtual machines, storage, backup, management, databases, Arc and Virtual Desktop. Relevant valid Microsoft certification would be expected to evidence the skills achieved.
  </li>
  <li>
   Networking skills &ndash; able to manage all aspects of VM and cloud tenancy networking including HA and DR configurations; and implement related services such as S2S VPN&rsquo;s.
  </li>
  <li>
   Service onboarding &ndash; proven experience of onboarding and migrating customers to Public Cloud services, and experience of tooling such as Azure Migrate.
  </li>
  <li>
   PaaS skills &ndash; Knowledge and experience of Azure PaaS such as SQL, App Service, Kubernetes is desirable.
  </li>
  <li>
   Good experience and understanding of security related technologies such as Entra ID, DfC, RBAC, Lighthouse. A strong &lsquo;security first&rsquo; mindset when performing all activities.
  </li>
  <li>
   Logical and process orientated; ability to understand the customer&rsquo;s journey.
  </li>
  <li>
   Capable of taking sole responsibility for realising the implementation of a solution from architect created designs.
  </li>
  <li>
   Contribution to existing Low Level architectural designs and configuration documentation, ensuring high quality, clear, consistent, and comprehensive artifacts.
  </li>
  <li>
   Scripting and Automation &ndash; experience with a variety of scripting languages and automation tools to streamline delivery. Terraform, Bicep and PowerShell primarily used.
  </li>
  <li>
   Current holder of or ability to obtain security clearance.
  </li>
  <li>
   Communication - Strong team working, communications and collaboration skills, both customer-facing and within internal teams.
  </li>
  <li>
   Flexibility - Comfortable with evolving solutions and finding the most effective path to implementation, working best in an environment of rapid change.
  </li>
  <li>
   Analytical - Given a problem you&rsquo;ll dig to find possible solutions, and work with your team when needed.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
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 SCC is Europe's largest privately-owned IT business, based out of the new &pound;7m HQ office in Birmingham and we help clients succeed through IT transformation and exceptional customer experiences. We are a business where innovation is greater as we combine unique ideas, people and disciplines. We are a global company that is passionate about IT and where we look to simplify the complex.
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  We are an equal opportunities employer
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 SCC is committed to providing equal opportunities and a proactive and inclusive approach to equality and diversity in employment. No applicant or employee will be treated less favourably than another on the grounds of a protected characteristic which are defined as sex, sexual orientation, age, disability, gender reassignment, trade union membership or non-membership, marriage and civil partnership, pregnancy and maternity, race and religion or belief.
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  If you are selected for interview, and need any reasonable adjustments made for your interview, please let the SCC Talent Acquisition team know, at the point of scheduling.
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   Diversity &amp; Inclusion at SCC - https://www.scc.com/diversity-and-inclusion/
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  Sustainability at SCC - https://www.scc.com/sustainability-at-scc/
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  Life at SCC - https://www.linkedin.com/company/scc/life
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Cloud Delivery Engineer

<div><p>At CGI, we empower our members to help shape the future of critical national services through innovation and secure digital transformation. As an AWS Platform Engineer within our healthcare team, you&rsquo;ll play a pivotal role in designing, building, and managing the data platforms that power vital healthcare analytics, research, and operational insight across the UK. You&rsquo;ll work alongside passionate experts, using cutting-edge cloud and automation tools to deliver scalable, secure solutions that truly make a difference to people&rsquo;s lives and the nation&rsquo;s wellbeing.<br>
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CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK &lsquo;Best Employer&rsquo; by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you&rsquo;ll be part of an open, friendly community of experts. We&rsquo;ll train and support you in taking your career wherever you want it to go.<br>
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Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position.</p><p><b>
Your future duties and responsibilities</b></p><div>
In this role, you will design, build, and maintain scalable cloud platforms that underpin mission-critical healthcare solutions. Working collaboratively within cross-functional teams, you&rsquo;ll apply your AWS and automation expertise to deliver reliable, secure, and compliant data environments that drive innovation and support strategic health initiatives. You&rsquo;ll be encouraged to bring fresh ideas, take ownership of key solutions, and continually enhance the performance and resilience of our platforms.<br>
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Key responsibilities:<br>
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<ul><li>Design &amp; Build: Architect and deploy secure AWS-based data platforms supporting analytics and operational intelligence</li><li>Automate &amp; Optimise: Use Terraform and CI/CD pipelines to streamline infrastructure delivery and enhance performance</li><li>Collaborate &amp; Support: Work closely with data engineers, DevOps specialists, and clients to deliver impactful solutions</li><li>Secure &amp; Govern: Implement best practices in cloud security, governance, and compliance for regulated environments</li><li>Innovate &amp; Evolve: Continuously assess new AWS capabilities to enhance platform scalability and reliability</li></ul></div><p><b>
Required qualifications to be successful in this role</b></p><div>
You should have strong technical expertise in AWS platform engineering, infrastructure automation, and data platform design, ideally gained within highly regulated or healthcare settings. You&rsquo;ll be confident collaborating across teams, adaptable to change, and motivated by delivering solutions with real-world impact.<br>
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Essential qualifications and experience:<br>
<ul><li>Strong hands-on expertise with AWS services (VPC, IAM, S3, EC2, Lambda, etc.)</li><li>Proficiency in Terraform for infrastructure automation</li><li>Experience with CI/CD pipelines and DevOps practices</li><li>Familiarity with Databricks and data platform design</li><li>Knowledge of data security and compliance frameworks</li><li>Experience working within healthcare or NHS environments</li></ul><br>
#LI-MW2</div><p><b>
Together, as owners, let&rsquo;s turn meaningful insights into action.</b><br>
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Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;<br>
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You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.<br>
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Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.<br>
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You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
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That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.<br>
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Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</p></div>

AWS Platform Engineer

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