301 to 325 of 6,943 AWS Jobs in the UK

data, engineering, and AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners including Databricks, Snowflake, AWS, Microsoft, Google Cloud, Anthropic, and OpenAI to deliver transformative data and AI solutions that drive measurable business impact. Overview We're seeking an experienced Senior … Strong hands-on experience building modern data platforms and data products in enterprise environments. Proven experience with one or more major cloud platforms including AWS, Azure, or Google Cloud Platform. Proven commercial experience with Databricks and/or Snowflake, including the design, implementation, and optimization of data platforms at scale ...

Responsibilities Provide technical direction and mentorship to up to 2 teams of software engineers, around 12 engineers. Architect and implement cloud-native solutions using AWS services (Lambda, EKS, DynamoDB, Step Functions, RDS, SNS/SQS). Manage the team’s engineering process, ensuring it adheres to the company’s guidelines … Proven experience leading software engineering teams in cloud-based environments. Bachelor’s degree in Computer Science, Engineering, or related field. Hands-on expertise with AWS architecture, serverless services, EKS computing, and event-driven design. Experience with CI/CD systems, observability, and infrastructure-as-code (e.g., Terraform). Fluency ...

love to meet you. What you’ll do: Lead the design, build, and operation of secure, resilient, and scalable cloud-native platforms, including AWS Landing Zones. Serve as the Cloud technical lead for complex, global projects—translating architectural designs into delivered services and operational capabilities. Own automation and Infrastructure … environments Experience with DevOps practices and agile methodologies In depth design and support knowledge of Cloud Infrastructure technologies such as, but not limited to AWS/Azure Strong scripting/coding skills (Python, Bash) and containerization experience (Docker, Kubernetes) Strong understanding of networking (VPCs, load balancing, DNS) Understanding of security ...

will involve a dynamic mix of design, implementation, and operational excellence: Cloud Architecture & Operations: Design, deploy, and manage robust cloud infrastructure on AWS and/or Azure , using key services (e.g., EC2/VMs, VPC/VNet, RDS/SQL MI, S3/Blob, Lambda/Functions). Lead provisioning … performance of critical customer workloads. Security & Resolution: Proactively apply vulnerability remediations, resolve infrastructure tickets, and conduct thorough root cause analyses. Collaboration & Automation: Liaise with AWS/Azure support, communicate clearly with collaborators, and drive automation using tools like Terraform, CloudFormation, and Ansible. Scripting & Support: Develop/maintain Python/Bash ...

optimisation. This is a hands‐on technical role focused on modern DevOps and cloud‐native engineering practices. You'll work with technologies such as AWS, Azure, Kubernetes, OpenShift, EKS, ECS and Infrastructure as Code (IaC), helping teams accelerate delivery while maintaining high standards of security, resilience and operational excellence. Working … ways of working. Typical responsibilities include: Designing, building and maintaining secure DevSecOps pipelines. Developing Infrastructure as Code and automated platform capabilities. Supporting and optimising AWS, Azure, Kubernetes, OpenShift, EKS and ECS environments. Implementing monitoring, logging, observability and alerting solutions for mission‐critical services. Contributing to secure, scalable and resilient cloud ...

Engineering function, responsible for the cloud platforms, engineering capabilities, and operational foundations that support our products and services worldwide. Working across both GCP and AWS, you will help shape the next evolution of our platform engineering capability. A key focus of the role will be extending and maturing our multi … cloud platform strategy, including the development of AWS landing zone capabilities that align with the standards, automation, governance, and developer experience established within our GCP platform. Alongside this, you will play an important role in enabling the organisation's AI transformation. Building on our existing cloud platform foundations, you will ...

Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise “data” is broad, that’s why we’re keen to speak … data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Extensive hands‐on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also ...

across development, staging and production environments, ensuring smooth and reliable release processes. Monitor application and infrastructure health using observability tools such as Prometheus and AWS CloudWatch; proactively identify and respond to anomalies and performance degradation. Own and maintain CI/CD pipelines, working to improve build, test and deployment automation … towards greater automation, infrastructure-as-code, and operational maturity. Manage and maintain containerised workloads using Docker, and support the operation of services hosted on AWS cloud infrastructure. Write and maintain operational scripts (primarily Python) to automate routine tasks, support incident investigations and improve team efficiency. Collaborate with software developers ...

industry experience in one of following: Java/Typescript/Python/Go/C#, React, Angular Vue, Svelte. Experience with Cloud Native technologies (AWS, Azure or GCP) Experience with Infrastructure as Code (e.g. Terraform, AWS CDK, Pulumi) Experience building and maintaining CI/CD pipelines (e.g. GitHub Actions, Gitlab ...

experience with Java and Spring Boot is essential, alongside solid SQL/database knowledge and experience working with Git, Maven or Gradle. Exposure to AWS/Azure/GCP, Docker/Kubernetes and CI/CD would be highly advantageous. What you'll be doing Design, develop, test and deploy … databases Experience with Git Understanding of OOP principles and design patterns Experience with Maven or Gradle Strong problem-solving and analytical skills Desirable experience AWS, Azure or GCP Docker and Kubernetes CI/CD pipelines HTML, CSS and JavaScript Agile/Scrum environments If you are interested in this role ...

Deep expertise in integration architecture — RESTful APIs, event‐driven/streaming patterns (e.g. Kafka), and microservices.- Experience designing and deploying solutions on cloud platforms (AWS, GCP, or Azure), including containerisation (Docker, Kubernetes).- Experience leading core banking migration or implementation programmes.- Strong grasp of non‐functional requirements — scalability, performance, resilience … mentoring. - Knowledge of payments ecosystems and real‐time payment schemes. - Familiarity with DevOps/CI-CD tooling and infrastructure‐as‐code. - Relevant cloud certifications (AWS/GCP/Azure architect-level). #J-18808-Ljbffr ...

software development methodologies and Agile based delivery. proven experience with Cloud Native technologies on at least one of the major cloud services providers (AWS preferred). Experience designing and delivering production cloud solutions at scale. Degree in Computer Science, Engineering, or a related field (or equivalent experience). Preferably have … consistent record of leading technical teams to success. Deep understanding of cloud computing principles and technologies, with experience working with major cloud providers (AWS, Azure, GCP). Proficiency in infrastructure as code tools and practices (Terraform etc.). Excellent problem-solving and troubleshooting skills. Strong communication and interpersonal skills, with ...

collaborate with Data Scientists, Software Engineers, Product Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS-based infrastructure you will apply modern MLOps/LLMOps tooling to run rigorous experiments, track results, and deliver scalable solutions. A key aspect … governance requirements Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility ...

cost-conscious design and facilitate knowledge sharing across multidisciplinary teams Participate in on-call rotation What You’ll Need 5+ years of experience with AWS services such as VPC, EC2, ECS, EKS, ELB, S3, RDS, etc. 5+ years of experience with containerization and orchestration such as Docker and Kubernetes Strong … recognize and connect patterns to both enhance and simplify cloud-based development Hands-on experience with GitOps for declarative, automated application delivery on AWS EKS, driving self-service deployments and reduced operational toil A security first mindset along with practical experience building secure applications in the cloud Practical experience building ...

rapid prototyping, solution shaping, pilot execution, adoption measurement, and production handoff to receiving teams. Must have: Extensive experience with major cloud platforms such as AWS, Azure, or GCP, including serverless, containerization, managed services, automated deployment, monitoring, and cloud security standards. Must have: Experience designing cloud-based AI solution architectures that … vector search, secure data access, API gateways, event-driven workflows, identity and entitlement controls, observability, deployment automation, and cost and resilience trade-offs across AWS, Azure, or GCP. Must have: Demonstrated experience integrating LLM or AI/ML capabilities into production applications, including RAG pipelines, embeddings, vector databases or search ...

stakeholder engagement, rapid prototyping, solution shaping, pilot execution, adoption measurement, and production handoff to receiving teams. Extensive experience with major cloud platforms such as AWS, Azure, or GCP, including serverless, containerization, managed services, automated deployment, monitoring, and cloud security standards. Experience designing cloud-based AI solution architectures that integrate managed … vector search, secure data access, API gateways, event-driven workflows, identity and entitlement controls, observability, deployment automation, and cost and resilience trade-offs across AWS, Azure, or GCP. Demonstrated experience integrating LLM or AI/ML capabilities into production applications, including RAG pipelines, embeddings, vector databases or search indexes, prompt ...

Cloud Platform Product Manager, you’ll sit at the intersection of engineering, delivery, and user outcomes. You’ll lead product delivery for secure AWS-based platforms in government transformation programmes, shaping roadmaps that balance compliance, security, and performance with user experience. This role is ideal for someone with a DevRel … financial irregularities. About you Proven experience as a Technical Product Manager/Platform Product Owner in secure, complex environments, including the following: Strong AWS knowledge, including core services (EC2, S3, RDS, IAM, VPC, CloudWatch, CloudFront). Understanding of platform engineering concepts. Infrastructure-as-Code (Terraform, CloudFormation) CI/CD pipelines ...

operations, SRE, or DevOps roles, with at least 3+ years in a people management capacity. Proven experience managing cloud‐native services on Azure and AWS, including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, Sentinel; AWS Lambda, ECS, RDS, CloudWatch. Strong ...

full software development lifecycle. Experience with Spring Boot, Spring Framework and microservices architecture. Exposure to Node.js, TypeScript, Express.js or Nunjucks. Experience with AWS, Azure or GCP, Docker, Kubernetes and DevOps practices. Experience with Terraform and CI/CD tools such as Jenkins or Azure DevOps. Experience delivering scalable, high-quality ...

full software development lifecycle. Experience with Spring Boot, Spring Framework and microservices architecture. Exposure to Node.js, TypeScript, Express.js or Nunjucks. Experience with AWS, Azure or GCP, Docker, Kubernetes and DevOps practices. Experience with Terraform and CI/CD tools such as Jenkins or Azure DevOps. Experience delivering scalable, high-quality ...

full software development lifecycle. Experience with Spring Boot, Spring Framework and microservices architecture. Exposure to Node.js, TypeScript, Express.js or Nunjucks. Experience with AWS, Azure or GCP, Docker, Kubernetes and DevOps practices. Experience with Terraform and CI/CD tools such as Jenkins or Azure DevOps. Experience delivering scalable, high-quality ...

Responsible AI, and AI Evaluation Frameworks. Experience with LangChain, LangGraph, Semantic Kernel, and AutoGen. Hands-on experience with Azure AI Foundry/Azure OpenAI, AWS Bedrock and SageMaker, Google Vertex AI, and hybrid and multi-cloud architectures. Strong programming experience with Python, Java, Scala, TypeScript, and SQL. Experience with Kubernetes … security and guardrails, LangSmith, Arize, and monitoring and evaluation frameworks. Master's degree in Computer Science, AI, Data Science, or related discipline preferred. AWS Solutions Architect Professional certification preferred. Google Professional ML Engineer certification preferred. Executive AI qualifications from leading institutions preferred. Combine deep technical expertise with strong business acumen ...

full software development lifecycle. Experience with Spring Boot, Spring Framework and microservices architecture. Exposure to Node.js, TypeScript, Express.js or Nunjucks. Experience with AWS, Azure or GCP, Docker, Kubernetes and DevOps practices. Experience with Terraform and CI/CD tools such as Jenkins or Azure DevOps. Experience delivering scalable, high-quality ...

skills. You should have experience in: At least two of the following technologies: Python, JavaScript, Node.js, C# or Java Building and supporting applications within AWS and/or Azure Infrastructure as Code using Terraform or similar technologies CI/CD tooling such as GitHub Actions, GitLab CI, Jenkins or Azure ...

/CD). Applied‐AI expertise: LLM/RAG engineering; evaluation; telemetry/drift monitoring; versioning and release management. Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security. Data engineering depth (Spark/Databricks; ETL/ELT); cloud‐native data + AI architectures. Enterprise ...