351 to 375 of 2,766 AWS Jobs in the UK

running production-grade cloud platforms, ideally within secure or regulated environments, along with a practical, hands-on DevOps mindset. You should be comfortable with: AWS and hybrid cloud environments Infrastructure-as-Code tooling such as Terraform and/or Ansible CI/CD pipelines and source control (GitHub, GitLab, Atlassian ...

delivery teams. Strong commercial awareness with experience managing project budgets and forecasting. Desirable Skills Experience within Telecommunications or Media industries. Knowledge of cloud platforms (AWS, Azure or GCP). Exposure to AI-enabled products, Generative AI or intelligent automation initiatives. Familiarity with DevOps practices and CI/CD delivery models. ...

development follows established processes and works as intended Required experience Experience of working in an Agile/SCRUM/DevOps delivery model Cloud technologies (AWS or Azure) Infrastructure as code e.g. Terraform, Puppet, Chef, Ansible etc. Experience in building and deploying large-scale applications in Continuous Integration/Delivery pipelines ...

growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform Hands‐on experience with ...

technical communities and quality forums Key Skills Strong experience designing and delivering scalable data engineering solutions Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ ...

Airflow, Dagster, Prefect or equivalent) Production experience with at least one major cloud warehouse/lakehouse (Snowflake, BigQuery, Redshift, Synapse, Databricks) Cloud platform experience (AWS, GCP, Azure) Solid data modelling foundations—dimensional modelling, slowly changing dimensions, Data Vault or domain-driven approaches CI/CD for data pipelines, version control ...

scaling teams Proven track record of establishing or significantly growing an engineering site or office Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation Experience with infrastructure supporting large‐scale AI/ML systems, including: GPU infrastructure and orchestration ML training and inference pipelines ...

model deployment, API design, and integration into production environments. Strong Python programming and relevant ML/data libraries. Experience with containerization, orchestration, and AWS cloud services. Building and operating CI/CD pipelines; monitoring, troubleshooting, and optimizing production ML systems. Pre-release testing and release management. Demonstrated ability to work ...

streaming technologies Strong Unix/Linux scripting skills for automation Experience with incident management processes and ticketing systems (ServiceNow, JIRA) Exposure to cloud platforms (AWS, Azure, or Google Cloud) Understanding of data quality processes and reconciliation Knowledge of DevOps practices, CI/CD, and version control (Git) What ...

prompt engineering, retrieval‐augmented generation (RAG), orchestration, and data modeling. Experience designing full‐stack intelligent workflows. Cloud & Infrastructure Fluency: Deep hands‐on experience with AWS, Azure, or GCP, including use of containers, infrastructure‐as‐code (Terraform, CloudFormation), and enterprise integration patterns. Engineering Depth: Proficient in Python and SQL, with working ...

create innovative solutions suited to client needs. Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on‐premises) using Azure, AWS, and GCP services. Technical Leadership Oversee data modelling, data governance, and data quality frameworks while driving technical excellence. Strong hands‐on experience in technologies such … DevOps teams to establish CI/CD architectures using Azure DevOps, Kubernetes, and Terraform. Familiarity with at least one major cloud platform (Azure, AWS, or GCP) and associated data services Guide the selection and implementation of analytics and reporting tools (Power BI, Tableau, PowerApps). Stakeholder Engagement Able to work ...

AWS DevOps Engineer Programme Name: LCST Location: Remote, with attendance at Leidos UK Bristol or Customer sites as required Were ready for you to unleash your potential! Role Overview: We are seeking an experienced hands-on AWS DevOps Engineer to join the LCST Programme team. As part of a high … secure, scalable cloud infrastructure using a tailored SAFe Agile SecDevOps Scrum process. You'll apply DevOps best practices and cloud-native design principles, leveraging AWS services and Infrastructure as Code (IaC) to drive automation and continuous delivery across environments. This role also includes hands-on work with automated testing, deployments ...

Data Platform Architect – Databricks (AWS) The Company Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant has over 350,000 employees globally. Cognizant … opportunity to help shape one of the most significant public sector data modernization programs in the UK, establishing a Databricks-based Lakehouse platform on AWS that will become the strategic foundation for future data and analytics capabilities. About the Role As a Data Platform Architect – Databricks (AWS) , you will lead ...

AWS Principal Platform Engineer - UK Security Clearance required. Location: London, UK (Hybrid – typically ~1 day per week in office/on-site) Contract: Permanent, Full-time Package: £90,000 – £120,000 + 10% Bonus + 10% Shares + Benefits (see more below) About Us At Appvia, we help organisations navigate … security. We work across public and private sector customers, supporting large‐scale transformation programmes and long‐term platform evolution. About the Role As an AWS Principal Platform Engineer, you will play a senior technical leadership role across Appvia’s platform engineering engagements. You will help customers design, build, and evolve ...

Cursor) to speed up iteration, prototyping and overall development Nice to Have Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Experience with container orchestration and service containerisation (Kubernetes, Docker) Worked with real‐time data collection and/or processing Worked in an IoT or Edge ...

strategy, estimation, governance, and stakeholder engagement * Deep knowledge of CI/CD and DevOps integration, using Jenkins, GitHub Actions, Docker, Kubernetes, and cloud platforms (AWS, Azure) * Demonstrable success in large-scale automation delivery, including high-volume API automation and measurable cost optimisation * Experience across cross-platform testing (web, mobile ...

patch management. Desirable Skills Experience developing or consuming Node.js APIs. Knowledge of the GOV.UK Design System. Understanding of WCAG accessibility standards. Exposure to AWS hosting environments. Familiarity with CI/CD pipelines and modern deployment practices. Experience working within Agile delivery teams. Previous experience delivering digital services for UK Government ...

Java and Oracle web applications. * Experience of Windows 11 and associated application testing in an Evergreen environment. * Familiarity with cloud and infrastructure environments (Azure, AWS or on-premises). * Experience testing APIs, services and integration points. * Hands-on experience with tools such as Postman, Jenkins, JMeter or similar. * Experience ...

technologies like HTML5, CSS3, JavaScript, and modern JS frameworks. Experience with relational databases such as SQL Server. Familiarity with cloud platforms (e.g., Azure, AWS) and DevOps practices. Experience with version control systems (e.g., Git). Ability to analyse and resolve complex technical issues. Strong debugging and performance optimization skills. Excellent ...

Skills Experience conducting advanced Red Team operations and adversary simulation exercises. Purple Team and Breach & Attack Simulation experience. Knowledge of cloud security testing across AWS, Azure, and Google Cloud Platform. Experience with social engineering engagements. Understanding of AI and emerging security threats. Experience with container security, Kubernetes, Docker ...

platforms. Desirable skills and experience: Experience working within streaming, video platform or other large-scale web environments. Knowledge of cloud and container technologies, including AWS, Azure, GCP, Docker and Kubernetes. Expertise in API and performance testing, with experience implementing AI-driven testing and integrating AI/ML into QA practices. ...

high‐scale throughput systems, or similar experience with other relevant SQL datastores. Operational experience deploying and managing Kubernetes Experience working with Cloud Providers (AWS/GCP/Azure) We value a variety of experiences, so these are not required. It would be an added bonus if you have experience ...

team. Collaborate with product, frontend, and QA to ensure quality delivery. Required Skills Java, Spring Boot, JUnit, Kubernetes. Desirable Skills JPA, Maven, Mockito, AWS, GitLab CI/CD, Helm, OpenAPI, SQL, Kibana, Shell scripting. Clearance BPSS eligibility Mandatory SC Clearance preferred, alternatively must be eligible Location: Telford - once a week ...

platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud ...

mentoring within multidisciplinary teams Experience Required Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering ...