301 to 325 of 3,609 AWS Jobs in England

Security.Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, etc.).Experience with Public Cloud services in Production (we use AWS).Experience with Infrastructure as Code (Terraform or other).Ability to tackle design and functionality problems independently with little to no oversight.Experience in architecting, supporting … delivery practicesPreferred qualifications, capabilities, and skills:Familiarity with modern front-end or back-end technologies.Debugging expertise in Kubernetes.Understanding of Infrastructure Tools, preferably Terraform, and AWS services understanding.Experience with any GitHub, GitHub Actions, Artifactory, Terraform Cloud, Slack, Grafana, SonarQube is considered a plus.Proficient in coding in one or more languages.Employer DescriptionJPMorganChase ...

Senior Site Reliability Engineer Southampton HQ - 2 Times a week in Office Cloud, SaaS, AWS, The company deliver cutting-edge enterprise software solutions across both cloud and on-premises environments, empowering organisations to enhance customer experiences, maintain regulatory compliance, and proactively fight fraud. The company are trusted by businesses worldwide … such as Splunk, Datadog, PagerDuty, or Rundeck Experience using configuration management platforms like Ansible, Puppet, or Chef Professional certifications in cloud DevOps, such as AWS Certified DevOps Engineer or Google Cloud Professional DevOps Engineer, or similar credentials Do You Have What It Takes? 3-6 years of hands-on experience ...

such as Java, TypeScript, Python, Go or C# Experience with front-end frameworks including React, Angular, Vue or Svelte Knowledge of cloud platforms, ideally AWS, with exposure to Azure or GCP beneficial Experience with Infrastructure as Code tools such as Terraform, AWS CDK or Pulumi Experience building and maintaining ...

design for Pre-Sales and create solutions then hand over to the Engineering team for implementation, integrate my clinet’s systems. Any cloud platforms AWS, Azure, Google Cloud ir required. Any Pre-Sales. APIs, microservices, integrations, Data flows, scalability, security. Infrastructure concepts: Networking, authentication, IAM Containers (Docker, Kubernetes). Understanding ...

engineering concern. Key responsibilities Build secure architectures for cloud-native systems - applying secure-by-design patterns, zero-trust principles, and least-privilege access across AWS, Azure, or GCP environments. Embed security into CI/CD pipelines , integrating SAST, DAST, SCA, and infrastructure-as-code scanning so vulnerabilities are caught before … client's security posture through better engineering, not more process. Skills, knowledge and expertise Essential Strong hands-on experience securing cloud infrastructure in AWS, Azure, or GCP, including IAM design, network security, and secrets management. Experience embedding security tooling into CI/CD pipelines (SAST, DAST, SCA, container/ ...

data structures, algorithms, concurrency, and multi-threading.Database ManagementStrong SQL knowledge with experience in relational databases such as Postgres.Working knowledge of object storage solutions, e.g., AWS S3.Familiarity with database version control tools like Flyway and Liquibase.Cloud ArchitectureExperience working with major public cloud platforms, preferably AWS.Hands-on use of cloud-based services … such as AWS Aurora, MSK, S3, and IAM.Basic understanding of cloud networking concepts.Blockchain Integration and InteroperabilityUnderstanding of blockchain fundamentals, including consensus mechanisms and smart contracts.Knowledge of interoperability protocolsExperience integrating blockchain solutions with existing enterprise systems.Familiarity with cross-chain communication and bridging technologies.Awareness of security considerations in blockchain integration (e.g., cryptographic ...

APIs and microservices Software architecture and engineering best practices Desirable Skills Experience with any of the following would be advantageous but not essential : Azure, AWS or Google Cloud GitHub Actions/Azure DevOps/Jenkins Docker and Kubernetes Terraform/Infrastructure as Code Why Apply for the role 12-month ...

engineering community. Please note: This role requires demonstrable commercial experience with Microsoft Azure and Azure Kubernetes Service (AKS) . Candidates whose experience is primarily AWS-focused are unlikely to be suitable. If you're passionate about Azure, Kubernetes and building modern cloud-native platforms-and want to play ...

scalability, security, and compliance.Broad experience with data governance, data quality, master data management, and regulatory requirements.Key Skills:Advanced knowledge of cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP).Strong experience with data warehousing, data lakes, and lakehouse architectures.Hands-on experience with SQL and at least one programming language ...

Desired Skills and Experience Core Software Engineering JavaScript frameworks (React, NextJS) TypeScript Python Java REST API development OpenAPI/Swagger Cloud & Infrastructure Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Data & Search Technologies Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Testing & Quality Unit ...

success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We're an award-winning employer reflecting … employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, 350/£300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing ...

services, healthcare, public sector, or similar) is advantageous.Demonstrated ability to work collaboratively within multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least … MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model interpretability, fairness, bias mitigation ...

Experience Full-stack experience across a selection of 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/automation ...

services, healthcare, public sector, or similar) is advantageous.Demonstrated ability to work collaboratively within multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least … MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model interpretability, fairness, bias mitigation ...

services, healthcare, public sector, or similar) is advantageous.Demonstrated ability to work collaboratively within multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least … MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model interpretability, fairness, bias mitigation ...

Agile delivery environments.•Strong stakeholder and client engagement experience.•Strong expertise in Snowflake Administration and/or Confluent Kafka Platform.•Experience with Azure/AWS/GCP cloud platforms.•Good understanding of SCM tool like Github and CI/CD pipelines, and automation frameworks.•Experience with Kubernetes, containerization, and cloud ...

around 294 days' worth of testing every day through automation. Our APIs receive 173 million requests, and we spin up 280,000 AWS servers every month. Over 22 million people - 1/3 of the UK's adult population access our services daily. Over 100,000 colleagues and agents ...

Knowledge of PostgreSQL or other relational databases. Experience with Docker and Linux environments. Strong problem-solving and communication skills. Desirable Skills Python development experience. AWS, Azure or GCP exposure. CI/CD tools such as GitHub Actions or Jenkins. DevOps/DevSecOps experience. Experience within secure or highly regulated environments. ...

Engineer, you will join a central Quality Enablement team, where you’ll define standards for automated testing across our Java microservices and Python-based AWS Lambda functions.You will:Enable teams to maintain a robust microservices testing strategy, covering unit, component, contract, and simple, maintainable end‐to‐end testsSupport engineers ...

Skills 12+ years of software engineering experience, with strong expertise in Java and/or Python. Proven experience building cloud-native applications on Azure, AWS, or GCP. Strong knowledge of Kubernetes, Microservices, APIs, Event-Driven Architecture, and DevOps practices. Hands-on experience with LLM integration, RAG architectures, AI orchestration frameworks ...

from selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks … security best practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems.Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services. Cloud-agnostic experience is preferred.Strong grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring ...

from selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks … security best practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems.Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services. Cloud-agnostic experience is preferred.Strong grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring ...

expertise in containerization and orchestration using Docker and Kubernetes for scalable production systemsFamiliarity with distributed computing frameworks (e.g., Spark, Dask), cloud platforms (e.g., AWS, Azure, GCP), and analytics libraries (e.g., pandas, numpy, matplotlib)Exposure to DevOps, DataOps, and MLOps concepts and best practicesExperience with core technologies such as Python, PySpark … Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud services (AWS/GCP/Azure)Experience with Generative AI (GenAI) or agentic systems is a strong plusPrior client-facing or senior stakeholder management experience is beneficialExcellent time management and communication skills (verbal and written), with flexibility to adapt across ...

environments Linux command line experience A passion for writing clean, secure and maintainable code Desirable Experience Neo4j or other graph databases Docker and Kubernetes AWS or Azure CI/CD pipelines Microservices architecture Experience within engineering, industrial, manufacturing or other data-intensive environments Why Apply? Work on technically challenging software ...

production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine … grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible ...