1 to 25 of 91 AWS Jobs in Cheshire

working with .NET Core (.NET 5+) Experience with containerisation tools like Docker and Docker Compose Exposure to orchestration platforms such as Kubernetes Experience working with cloud platforms including Azure, AWS, and Google Cloud Familiarity with Linux environments (advantageous) Strong sense of ownership from design through to implementation Understanding of socket programming (TCP/IP) Basic knowledge of encryption principles Proficient More ❯

/CD pipelines, Git, JIRA, and Agile methodologies. Strong problem-solving skills and ability to work in a fast-paced, regulated environment. Preferred Qualifications: Exposure to cloud-native development (AWS, Azure) and containerization (Docker, Kubernetes). Knowledge of DevOps practices and automated testing frameworks. Financial services background, particularly in transaction banking or corporate payments. More ❯

data from web services using technologies such as web APIs, OAuth, and gRPC. Solid understanding of SQL and database design. Excellent troubleshooting and communication skills. Familiarity with Azure and AWS environments. Desirable Skills Knowledge of Entity Framework. Exposure to Java for Android, Objective-C, or Swift. Experience with React for building user interfaces. Practical knowledge of Oracle, IBM, Linux, Solaris More ❯

Django) Leading architecture discussions and supporting more junior engineers Working closely with product, data, and design teams to bring new ideas to life Building and scaling cloud-based systems (AWS/GCP/Azure) Driving quality across the codebase through testing, automation, and CI/CD About You 5+ years of hands-on Python engineering experience Strong background in backend More ❯

Django) Leading architecture discussions and supporting more junior engineers Working closely with product, data, and design teams to bring new ideas to life Building and scaling cloud-based systems (AWS/GCP/Azure) Driving quality across the codebase through testing, automation, and CI/CD About You 5+ years of hands-on Python engineering experience Strong background in backend More ❯

relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau More ❯

relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau More ❯

and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools … like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML engineers, and Software Engineering teams to ensure successful delivery of ML projects Client … PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is More ❯

do: Collaborate with engineers and product teams to shape product direction and deliver features that solve real user problems. Build and maintain services using Python, TypeScript, and cloud platforms (AWS or GCP). Work with serverless architectures, containerisation, and NoSQL databases. Drive observability, data-driven decisions, and continuous improvement across the product. Challenge assumptions and influence the product to make More ❯

do: Collaborate with engineers and product teams to shape product direction and deliver features that solve real user problems. Build and maintain services using Python, TypeScript, and cloud platforms (AWS or GCP). Work with serverless architectures, containerisation, and NoSQL databases. Drive observability, data-driven decisions, and continuous improvement across the product. Challenge assumptions and influence the product to make More ❯

in C# and .NET 8 Experience developing RESTful APIs and microservices Solid understanding of Microsoft SQL Server , including database design and query optimisation Desirable: Experience with cloud platforms (Azure, AWS, or GCP) Knowledge of containerisation technologies such as Docker or Kubernetes Familiarity with Kafka or event-driven/pub-sub messaging patterns What's on Offer Salary up to More ❯

Leading and mentoring engineering teams in DevOps or platform engineering environments. Designing and optimising CI/CD pipelines for containerised workloads at scale. Managing enterprise Kubernetes environments (e.g. Openshift, AWS EKS, Azure AKS, GCP GKE) with a focus on multi-tenant orchestration and high availability. Building shared developer tools and platforms that improve productivity across multiple teams. Implementing practices that More ❯

meet deadlines. Proactive, accountable, and comfortable owning deliverables. Excellent problem-solving and consultative approach. Solid understanding of complex IT infrastructures. Strong knowledge of at least one major cloud provider (AWS, Azure, GCP or OCI) and cloud cost management/FinOps practices. Hands-on experience with Microsoft Licensing (M365, ELPs, SAM maturity assessments). Good understanding of IT security principles. Knowledge More ❯

highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 -Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software development, website administration More ❯

/SOAP Web Services Spring Boot Software version control systems (GIT/Subversion) Enjoy collaborating, sharing knowledge, and learning from others. If you come from a cloud background in AWS, this would be a bonus, as would be some DevOps knowledge They are a dynamic software team of six, focused on developing cutting-edge solutions & you'll work with the More ❯

/SOAP Web Services Spring Boot Software version control systems (GIT/Subversion) Enjoy collaborating, sharing knowledge, and learning from others. If you come from a cloud background in AWS, this would be a bonus, as would be some DevOps knowledge This dynamic software team of six is focussed on developing cutting-edge solutions. You'll work with the latest More ❯

platform, SRE, or DevOps teams working in a hybrid public/private cloud environment. Familiarity with relevant technologies and platforms. Our production workloads are currently hosted in public cloud (AWS) and our dev/test workloads are self-orchestrated using clustered Proxmox as a private cloud. Our analytics workloads are distributed on bare metal using Spark, HBASE and HDFS. We More ❯

platform, SRE, or DevOps teams working in a hybrid public/private cloud environment. Familiarity with relevant technologies and platforms. Our production workloads are currently hosted in public cloud (AWS) and our dev/test workloads are self-orchestrated using clustered Proxmox as a private cloud. Our analytics workloads are distributed on bare metal using Spark, HBASE and HDFS. We More ❯

results of analysis and modelling using tools like Jupyter Notebooks. Has experience designing and developing data ingestion and transformation pipelines in languages like Python, potentially using cloud solutions in AWS, Azure, or GCP. Is familiar with the full lifecycle of ML/AI models, including collating training data, design, training, evaluation, and deploying automated pipelines. Has experience helping to transform More ❯

innovation; with stacks of career progression opportunity for yourself You'll have real influence on tech strategy across a modern, cloud-based language agnostic stack (.NET, Java, Python, Node.js, AWS, Azure). Want more info? Get in touch for an informal chat More ❯

async patterns. Experience using Inertia or similar server-driven frameworks. Understanding of modern state management, validation, and API orchestration in React. Comfort with infrastructure patterns such as Terraform-managed AWS services and CI/CD pipelines. Pragmatic judgment. You know when to optimize, when to abstract, and when to ship. Mindset You think in flows, not fragments. You design features More ❯

async patterns. Experience using Inertia or similar server-driven frameworks. Understanding of modern state management, validation, and API orchestration in React. Comfort with infrastructure patterns such as Terraform-managed AWS services and CI/CD pipelines. Pragmatic judgment. You know when to optimize, when to abstract, and when to ship. Mindset You think in flows, not fragments. You design features More ❯

so that cyber apprentices can prepare for real-world challenges Tools and technologies learned: Apprentices will learn to use Project Ares, Python, Microsoft Azure, Microsoft PowerShell, Linux and AWS 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average Apprenticeship Standard Cyber security technologist (2021) (level 4) Training Provider QA LIMITED Working Week More ❯

You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 - Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software development, website administration More ❯

You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 - Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software development, website administration More ❯