326 to 350 of 3,697 AWS Jobs in England

Full-Time Relevant Experience: 7 Years Job Summary: Designs, runs and improves software that meets user needs. Competent Java developer with significant experience in AWS cloud services. Proficient in AngularJS, Jenkins, Karate, Gherkin and Cypress, Cloudformation, Jenkins, Groovy and deploying to native AWS services like ECS, S3, Lambda, SQS, Step … Functions. Certification: Expected to have AWS Certified DevOps Engineer Professional accreditation or above Responsibilities: Write clean, secure code using test-driven approach. Create reusable and open code. Collaborate with other developers. Fix service faults and maintain infrastructure. Apply modern development standards. Use prototyping methods and tools. Design and build software ...

engineers while promoting high-quality engineering standards across the team. Skills & Experience: Strong experience with Node.js, React, and Next.js. Professional experience with cloud platforms (AWS preferred). Experience with automated testing and CI/CD pipelines. Understanding of RESTful API design, microservices, and modern web application architecture. Experience with mentoring ...

developing in C++ and/or Rust Experience in CI/CD pipelines to automate testing, deployment, and release management. Knowledge of cloud platforms (AWS, Azure, etc.). Experience with Docker, Kubernetes and containerized application deployment. Experience working on real time systems such as video games or IoT installations. Exposure ...

developing in C++ and/or Rust Experience in CI/CD pipelines to automate testing, deployment, and release management. Knowledge of cloud platforms (AWS, Azure, etc.). Experience with Docker, Kubernetes and containerized application deployment. Experience working on real time systems such as video games or IoT installations. Exposure ...

PowerShell and Bash Python development Networking fundamentals including IPv4 Monitoring and logging using tools such as Zabbix and Splunk Knowledge of cloud concepts and AWS Desirable experience Cloud focused CI/CD pipelines Infrastructure as Code for cloud services Hands on AWS services such as EC2, EKS, Fargate … Lambda Automation using AWS SDK and Boto3 Hybrid cloud integration Debugging using CloudTrail Certifications that are useful Linux or Red Hat certifications Microsoft Windows Server certifications Ansible or Terraform certifications AWS certifications CCNA Security or testing certifications If you have a strong background in DevSecOps and infrastructure engineering, this role ...

Optimise data models, queries, and stored procedures to improve performance and maintainability. Infrastructure & DevOps: Build, deploy, and manage applications using cloud platforms such as AWS and Azure. Use modern DevOps tools and practices-including GitHub, Azure DevOps, Docker, Kubernetes, and Linux-based systems-to deliver scalable, reliable services. Implement … Java and/or .NET. Proficiency in SQL and experience with Oracle PL/SQL or similar technologies. Hands-on experience with cloud platforms (AWS, Azure), containerisation, DevOps tooling, and CI/CD automation. Familiarity with TDD, automated testing frameworks, and modern monitoring/observability tools. A commitment to open ...

Java and .NET Work with Oracle PL/SQL to support legacy and operational systems Engineer solutions across cloud and infrastructure environments including AWS, Azure, Linux, SQL Server, Postgres, Docker, and Kubernetes Implement CI/CD pipelines using GitHub or Azure DevOps Deliver high-quality software using Test Driven Development … Strong experience building digital services with Python Familiarity with Java and .NET for supporting existing systems Skilled in Oracle PL/SQL Experience with AWS and Azure Knowledge of GitHub, Azure DevOps, Docker, Kubernetes, and Linux Experience with SQL Server and Postgres Strong TDD practice and automated testing pipelines ...

government stakeholders. The Senior ML Engineer will own the journey from experimentation and hypothesis testing through to secure, production-grade deployment, using a modern AWS-based MLOps and LLMOps platform. The Role The successful candidate will balance rapid experimentation with production readiness, prototyping and validating machine learning and generative … governance standards Transitioning validated experiments into production-ready ML services, collaborating closely with engineering teams on deployment and monitoring Building scalable ML pipelines using AWS services and modern experiment tracking frameworks Developing and integrating LLM-powered capabilities for evaluation, tracing and production monitoring Implementing robust experiment tracking, model versioning ...

Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily Rate: £600-£650 (via Umbrella) 9 months initial contract ...

cleared DevOps Engineer to join a central government client of theirs. Key Responsibilities: Lead the design, deployment, and management of scalable and reliable AWS Cloud infrastructures, driving automation and optimising DevOps processes. Develop and implement advanced CI/CD strategies to support complex, large-scale cloud solutions on AWS. Engage … technologies, DevOps tools, and industry trends, recommending new approaches to enhance our services. Key Qualifications: 10+ years of experience in provisioning, configuring, and maintaining AWS Cloud environments, with a focus on large-scale, mission-critical infrastructures. In-depth expertise in a wide range of AWS service offerings, including Compute, Management ...

Stack (Open-Source) Backend: Python, Go Frontend: React, TypeScript Frameworks: Django, FastAPI Databases: PostgreSQL, Redis Infrastructure: Linux, Docker, Kubernetes, CI/CD pipelines Cloud: AWS Testing: Pytest, Jest You don't need experience with every tool - strong programming fundamentals and a passion for open-source are key. What They ...

client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data … client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead ...

client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data … client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead ...

client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data … client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead ...

client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data … client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead ...

client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data … client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead ...

solving complex infrastructure and automation challenges, automating everything, and shaping secure-by-design delivery environments. Responsibilities Design, build, and operate resilient cloud infrastructure (AWS & Azure preferred) Develop and maintain CI/CD pipelines using tools such as GitHub Actions, Jenkins, or GitLab CI Implement infrastructure-as-code using Terraform, Helm … system resilience Contribute to internal platform frameworks, templates, and automation accelerators Essential Experience in SRE, DevOps, or Cloud Infrastructure Engineering roles Strong knowledge of AWS, Azure, or GCP environments Hands-on experience with Kubernetes, Docker, and container orchestration Proven experience building and maintaining CI/CD pipelines Strong experience with ...

teams and promoting best practices Required Skills & Experience Proven experience architecting distributed systems (microservices, REST APIs, cloud-native solutions) Strong hands-on expertise with AWS, Azure, or GCP , including migration strategies Solid software engineering background (eg Java, Python) with Agile delivery experience Financial services domain experience, ideally within payments, cards ...

test automation, or software engineering Advanced knowledge of automation frameworks, test design, and QA principles Hands-on with Java-based technologies, microservices, cloud platforms (AWS/Azure), containerisation, and DevOps practices Strong problem-solving, communication, and project management skills Experience working in self-empowered, multi-disciplinary Agile teams Ability ...

supporting large-scale, mission-critical systems. Strong hands-on experience with Kubernetes and Terraform . Experience deploying and operating applications in public cloud environments (AWS, Azure, GCP) . Solid understanding of Java and Spring Boot applications . Experience with monitoring, logging, and observability tools (Prometheus, Grafana, ELK, Splunk). Strong ...

have experience with the below non-exhaustive list: - Strong grasp of IaC (Terraform or provider-specific tools) and cloud platforms such as AWS, Azure, GCP. - Experience with containerisation and orchestration (Docker + Kubernetes/ECS/equivalent). - Competence in CI/CD pipelines (Jenkins, GitLab CI/CD, GitHub ...

Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow ...

skills and ability to thrive in a team-oriented environment. Strong communication skills for effective collaboration with cross-functional teams. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker) is a plus. Experience in an Agile product team, ideally with SCRUM experience. ...

Agile methodologies. Strong problem-solving skills and ability to work in a fast-paced, regulated environment. Preferred Qualifications: Exposure to cloud-native development (AWS, Azure) and containerization (Docker, Kubernetes). Knowledge of DevOps practices and automated testing frameworks. Financial services background, particularly in transaction banking or corporate payments. Please send ...

Spring Boot) Build user-centric front-end applications using JavaScript/TypeScript, React, HTML and CSS Develop cloud-native solutions on platforms such as AWS or Azure Use CI/CD pipelines and version control tools to ensure high-quality engineering Collaborate in agile, cross-functional teams Participate ...