976 to 1,000 of 6,887 AWS Jobs in the UK

modern C# and Rust* We use a fair bit of SQL databases, Kafka, and RabbitMQ* We run some services on dedicated hardware and on AWS* We use Azure DevOps for build/deploy pipelines and story management* Our observability stack is Splunk, Grafana, Pyroscope and Prometheus **You**For this position ...

pay. Experience with MCP, graph or semantic retrieval, data engineering, event-driven integration or workflow orchestration. Experience deploying software or data products on Azure, AWS or GCP, DataBricks, Snowflake, Palantir etc. using relevant cloud services and at least one of containers, Kubernetes or serverless patterns. Delivery experience in a regulated ...

platforms such as SailPoint or Saviynt.* ## Exposure to PAM/PIM solutions such as CyberArk.* ## Cloud identity experience with Microsoft Entra ID, AWS, Azure, or GCP.* ## Docker and Kubernetes experience.* ## Relevant certifications (Ping Identity, CISSP, CISM, CyberArk, Microsoft).## **About you and Our core values*** ## ...

certification on software engineering concepts and applied experience in Core Java, J2EE, and Spring Boot with strong coding skills. Good working knowledge of AWS, Databricks and Python. Experience across the data lifecycle. Strong proficiency using Spring framework and understanding of inversion of control and dependency injection. Hands-on experience designing … designs. Proficiency with AI code assistants for rapid prototyping and end delivery of Backend functionality. Experience with deploying Backend services to cloud providers (e.g. AWS, Google Cloud, Azure). Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas #J ...

delivertechnology and transformationsolutions that drive customer success. Ourdeepexpertiseenables our customers to navigate the rapidlyevolving technology landscape. We foster strong partnerships withglobal technology leadersincluding Microsoft, AWS, Oracle, Red Hat,OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We'rean award-winning employer reflecting … Experience managing technical risk, architecture exceptions, dependencies and senior escalations. Experience supporting service transition, operational readiness, service acceptance and continual improvement. Working knowledge of AWS and Microsoft Azure architecture and operating models. Knowledge of Government Digital Service standards, the Technology Code of Practice and NCSC cloud security principles. Understanding ...

meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.You will be joining one of the World’s Most Ethical Companies, as recognised by Ethisphere ...

doing Design, build, test, deploy and support production software. Develop high-quality, maintainable and well‐tested code. Build and support applications using AWS, .NET and Java technologies. Contribute to technical design discussions and implementation activities. Investigate defects, troubleshoot issues and support production systems. Improve software quality through code reviews, testing … includes working within regulated or operationally complex environments, particularly airlines, airports or other high-availability industries, as well as experience with Kubernetes, Docker and AWS serverless technologies. What you’ll get Competitive base salary + up to 20% bonus Private medical insurance 25 days holiday + bank holidays Annual credit ...

modern C# and Rust We use a fair bit of SQL databases, Kafka, and RabbitMQ We run some services on dedicated hardware and on AWS We use Azure DevOps for build/deploy pipelines and story management Our observability stack is Splunk, Grafana, Pyroscope and Prometheus For this position ...

problem-solving, and communication skills. Experience planning, designing, building and implementing enterprise level security engineering products and solutions in a public cloud environment (i.e. AWS, GCP, Azure) Experience working in cross-functional teams and managing multiple priorities. Preferred qualifications, capabilities, and skills Advanced understanding of public cloud security concepts ...

track record of hiring, coaching and developing teams. Software delivery at scale: Experience shipping production microservices or cloud‐native applications using public cloud (AWS preferred). DevOps & CI/CD: Practical understanding of automated pipelines, Infrastructure as Code and container orchestration (Kubernetes or equivalent). Quality & testing: Experience driving test ...

accreditation approaches is highly desirable. Experience supporting compliance initiatives involving standards and regulatory frameworks. Key Skills: Advanced knowledge of cloud security across Microsoft Azure, AWS, Google Cloud Platform (GCP), and Microsoft 365. Expertise in Zero Trust security principles and secure-by-design methodologies. Strong understanding of identity and access management ...

engineering, tool and function calling, RAG, and at least one production Agentic AI system. Cloud AI platform : deep experience with one of Azure, OpenAI, AWS Bedrock, Claude; Kubernetes and cloud-native deployment. LLMOps & evaluation : CI/CD for AI, automated evals, experiment tracking, observability, model lifecycle management. Responsible AI : governance ...

desire to learn and develop Experience in Some or All of the Following Distributed computing technologies such as Spark and Databricks Cloud platforms including AWS, Azure, or GCP Workflow orchestration tools such as Airflow CI/CD, version control, and infrastructure as code Experience within financial services, consulting, or risk ...

TypeScript and Node.js (preferred), Python or Java. A strong engineering foundation in any of these is enough. Experience building cloud native systems, ideally on AWS, using Lambda, ECS/Fargate, API Gateway, or serverless and containerised architectures. Strong skills in automated testing, CI/CD and modern delivery practices. Confidence ...

Depth in distributed systems design: you understand how to build services that scale, fail gracefully and recover quickly. Experience working with cloud-native infrastructure (AWS, GCP or Azure) and container orchestration (Kubernetes or equivalent). Proven ability to translate complex architectural requirements into clear, deliverable engineering plans. Strong experience ...

based or enterprise data platforms.Strong analytical, problem-solving, and communication skills.Preferred SkillsExperience with data warehousing and ETL frameworks.Exposure to cloud platforms such as Azure, AWS, or GCP.Familiarity with DevOps, CI/CD, and version control tools.We are a Disability Confident Employer:Capgemini is proud to be a Disability Confident Employer … meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.You will be joining one of the World’s Most Ethical Companies, as recognised by Ethisphere ...

Understanding of high availability, resilience, disaster recovery, and platform reliability principles. Desirable Skills Experience with Kubernetes, AKS, OpenShift, or other container platforms. Exposure to AWS or multi-cloud environments. Knowledge of FinOps and cloud cost optimisation practices. #J-18808-Ljbffr ...

support with training and development in some areas! JavaScript frameworks (React, NextJS) TypeScript Python Java REST API development OpenAPI/Swagger Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Unit testing and automation Testing frameworks (e.g. ...

understanding of modern distributed systems and software architecture. Experience working with Linux-based environments. Exposure to one or more major cloud platforms such as AWS, Azure or GCP . The ability to understand unfamiliar technologies quickly and determine their practical application. Strong problem-solving and technical design skills. An interest ...

data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit‐Learn). Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery. Proven ability to establish and uphold coding standards to ensure high‐quality, maintainable code. Excellent communication skills ...

libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps ...

operating as part of data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker ...

complex technical architecture clearly to both engineering peers and cross-functional stakeholders Possess familiarity or experience with additional stack components including TypeScript, React, Snowflake, AWS, Git, GitHub, Copilot on GitHub, and Datadog While not required, these are a plus: Possess hands-on experience with container technologies and "infrastructure as code … experience Possess experience working in innovative, fast-paced, high-growth SaaS environments Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code 2-3 Days in Office: Metropolis values in-person collaboration to drive innovation ...

Product, Design, Platform, and Engineering teams Ownership mindset, with accountability for outcomes from design through to production Experience with cloud platforms such as Azure, AWS, or GCP Experience with event-driven architectures, distributed systems, or microservices Experience with relational databases such as PostgreSQL Experience working in cross-functional product teams ...

Strong Linux system administration experience (RHEL, Ubuntu, CentOS) Scripting proficiency (Bash, Python) Hands-on configuration management experience (Ansible, Puppet, or Chef) Cloud platform knowledge - AWS, Azure, or GCP Solid networking fundamentals (TCP/IP, DNS, DHCP, firewalls) Monitoring/logging tool experience (Nagios, Prometheus, Splunk) Exposure to containerisation (Docker, Kubernetes ...