1 to 25 of 108 AWS Jobs in Hampshire

including CI/CD pipelines and infrastructure automation. Required Skills TypeScript/Node.js REST APIs (Express, Nest.js, or similar frameworks) Unit testing (Jest or equivalent) Cloud computing (GCP preferred; AWS or Azure experience also valuable) Infrastructure as Code (Terraform or similar) Docker and Compose Continuous Integration tools and environments Experience in a Continuous Delivery/Deployment setup Strong communication and More ❯

an equivalent level of practical experience. Depending on your level of ability/experience, you will have familiarity, competence or expertise in a subset of these areas: Cloud technologies: AWS primarily Azure and GCP beneficial Cyber security Vulnerability management (e.g. tenable) IDAM (e.g Azure AD, Keycloak) Virtualisation and Containerisation Containerisation (e.g. Docker, Podman) Container management (e.g. Kubernetes) Architectural styles Microservices 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 ❯

DevSecOps Lead +Permanent opportunity +On site in Basingstoke +DV cleared role + 78,000 - 104,000 Skills: +DevOps +Team leadership +CI/CD pipelines +Azure/AWS As a Lead DevSecOps Engineer you will contribute to this by driving the technical delivery of the DevSecOps (CI/CD pipelines and integrated security tooling) and associated processes, ensuring these are delivered More ❯

experience in .NET, .NET Core/ASP.NET MVC, C# and Azure SQL. Our client will provide training in: .NET 9, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. This is your opportunity to be part of a new, technically challenging project and to be More ❯

in JavaScript and TypeScript. Experience with React, Next.js, Angular, or Web Components. Familiarity with design systems and tools (e.g., Figma). Understanding of DevOps principles and cloud infrastructure (e.g., AWS). Experience with CI/CD pipelines, version control (Git), and automated testing. Awareness of accessibility, performance optimization, and front-end best practices. Ability to work in Agile environments and More ❯

open and inclusive teammates and wider community members. What We're Looking For The highest level of proficiency developing applications using most of the following: C# ASP.NET, .Net Core AWS products like Lambdas, DynamoDB, etc but also comfortable in Azure and Azure devops Containerisation and IaC approach (Terraform it's definitely a plus) A solid understanding of development methodologies and More ❯

reliably. Responsibilities Build and maintain CI/CD pipelines Coach teams on DevSecOps best practice Ensure security and quality in releases Support live systems and troubleshoot issues Skills Needed AWS (Azure/GCP a plus) Git, GitLab CI/CD, Terraform, Ansible Docker, Kubernetes Security tools (SonarQube, vulnerability management) Python and Linux scripting Monitoring tools (Prometheus, Grafana) Defence experience is More ❯

reliably. Responsibilities Build and maintain CI/CD pipelines Coach teams on DevSecOps best practice Ensure security and quality in releases Support live systems and troubleshoot issues Skills Needed AWS (Azure/GCP a plus) Git, GitLab CI/CD, Terraform, Ansible Docker, Kubernetes Security tools (SonarQube, vulnerability management) Python and Linux scripting Monitoring tools (Prometheus, Grafana) Defence experience is More ❯

an imminent requirement for a Senior DevOps Enigneer to help with the ongoing scaling and optimisation of their Cloud Platform, ideally with strong knowledge in: Kubernetes (EKS, Openshift) Cloud (AWS, Azure) IaC (Terraform) CI/CD (GitOps, ArgoCD, GitHubActions) SysAdmin (Linux) In return they would be offering: o Annual Bonus o Access to our shared employee ownership scheme o 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 ❯

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 ❯

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 ❯

Platform Engineering or similar (DevOps, Infrastructure development roles etc) as well as hands on and demonstrable working experience with Kubernetes, IaC, CI/CD pipelines and major cloud platforms (AWS, Azure or GCP). The Platform Engineer will also be confident delivering within hybrid environments, navigating secure, regulated technical landscapes and air gapped environments. It would be highly advantageous for More ❯

queue libraries with tools such as ZMQ and RMQ • Continuous integration with tools such Jenkins and Postman • Database architecture and integration • Interfacing with cloud environments with tools such as AWS • You will be primarily be working with Linux OS using shell scripts and python More ❯

industry. The role focuses on: Building high-performance data analytics in Go or Python Handling real-time streaming data and batch pipelines Deploying containerised solutions to Kubernetes Working with AWS (EKS, EC2, S3) and Docker Writing clean, secure, test-driven code in an agile team Bonus experience (not essential): AI/ML concepts, Redis, Rust, Kafka/NATS, Robot Framework More ❯

new challenges, and is eager to learn and expand technical skills. Preferred Experience with Java application stacks. Familiarity with version control systems such as Git or Subversion. Knowledge of AWS and Terraform. Experience with scripting languages such as Bash or Python. Hands-on experience with VMware, Ansible, Docker, or Kubernetes. Understanding of the OSI model and broader networking standards. Knowledge More ❯

new challenges, and is eager to learn and expand technical skills. Preferred Experience with Java application stacks. Familiarity with version control systems such as Git or Subversion. Knowledge of AWS and Terraform. Experience with scripting languages such as Bash or Python. Hands-on experience with VMware, Ansible, Docker, or Kubernetes. Understanding of the OSI model and broader networking standards. Knowledge More ❯

knowledge of: .NET .NET Core/ASP.NET MVC, C# and MongoDB. Any experience in the following is desirable: .NET 9, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. Training will be provided in any of the technologies you lack, allowing you to turn your 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 ❯

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 ❯