576 to 600 of 4,425 AWS Jobs in England

or holding DV Clearance. Experience in data science, machine learning algorithms, and data engineering. Industry experience in consultancy, engineering, or data science. Significant experience with cloud-based infrastructure (e.g., AWS, Azure, GCP). Proficiency in Python and relevant data science libraries. Experience in using CI/CD tooling for code deployment and testing. Knowledge of database technologies (e.g., SQL, NoSQL More ❯

Familiarity with platforms such as Moogsoft, BigPanda, or IBM Watson AIOps. Programming : Proficiency in languages such as Javascript, Python, Java, and Bash. Cloud Native Expertise : Experience with Docker, Kubernetes, AWS, Google Cloud, or Terraform. Machine Learning : Understanding of machine learning concepts and frameworks. Problem-Solving : Strong analytical and problem-solving skills to address complex IT issues. At McDonald's we More ❯

communication and presentation skills Hands-on experience in technical integrations and POCs Comfortable coding in any high-level programming language (Java, Go, Python) Strong hands-on knowledge of Kubernetes, AWS, Azure, GCP, Docker, Prometheus, and OpenTelemetry Industry knowledge and opinions on Monitoring, Observability, Log Management, SIEM Engineering/DevOps Background - advantage Experience in Technical Sales of Log Analytics/Monitoring More ❯

QA Write clean, maintainable, and efficient code using modern languages (Java, Python, JavaScript, etc.) Participate in code reviews and software optimization efforts Contribute to cloud-based deployments (IBM Cloud, AWS, Azure, etc.) Support agile practices such as sprint planning and retrospectives Troubleshoot, debug, and maintain existing software systems Stay updated with emerging trends in software engineering and IT innovation Education More ❯

applications Team development - Conduct code reviews, and foster a culture of technical excellence and continuous learning What We're Looking For: Strong technical foundation - Expert-level JavaScript & TypeScript with AWS, particularly Next.js, React or React Native AI experience - Demonstrable experience building AI-enabled features or products Architecture expertise - Proven ability to design scalable APIs, distributed systems, and cloud-native solutions More ❯

don’t worry if you’re not fluent in all of it — you’ll have time to learn): Java (main language) | Spring Boot | Python (for analytics) | Postgres | MongoDB | Kafka | AWS | GCP We’d love to hear from you if you: Have strong Java skills and can take the lead on complex changes. Care about writing clean, maintainable code and sharing More ❯

following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) Back-end technologies like Java, Typescript, Spring, Express (NodeJS) Prior working experience in a cloud computing environment like AWS/GCP is highly desired. Prior experience working in teams that have built AI native applications for 1+ years BS/MS in Computer Science or related area. Team/ More ❯

background in some of the following a bonus: Java experience Python experience Ruby experience Big data technologies: Spark, Trino, Kafka Financial Markets experience SQL: Postgres, Oracle Cloud-native deployments: AWS, Docker, Kubernetes Observability: Splunk, Prometheus, Grafana For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at . California residents More ❯

Management (e.g., SQL, NoSQL, PostgreSQL, MongoDB) Version Control (e.g., Git, GitHub) API Development and Integration (RESTful APIs) Data Structures and Algorithms Testing and Debugging Deployment and Cloud Platforms (e.g., AWS, Azure, Google Cloud) Software Development Methodologies (e.g., Agile, Scrum) Person Specification: Experience supporting software development training or mentoring professionals in a technical capacity Strong ability to develop learners from intermediate More ❯

Management (e.g., SQL, NoSQL, PostgreSQL, MongoDB) Version Control (e.g., Git, GitHub) API Development and Integration (RESTful APIs) Data Structures and Algorithms Testing and Debugging Deployment and Cloud Platforms (e.g., AWS, Azure, Google Cloud) Software Development Methodologies (e.g., Agile, Scrum) Person Specification: Experience supporting software development training or mentoring professionals in a technical capacity Strong ability to develop learners from intermediate More ❯

Management (e.g., SQL, NoSQL, PostgreSQL, MongoDB) Version Control (e.g., Git, GitHub) API Development and Integration (RESTful APIs) Data Structures and Algorithms Testing and Debugging Deployment and Cloud Platforms (e.g., AWS, Azure, Google Cloud) Software Development Methodologies (e.g., Agile, Scrum) Person Specification: Experience supporting software development training or mentoring professionals in a technical capacity Strong ability to develop learners from intermediate More ❯

CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly Excellent collaboration and communication More ❯

strategic goals. Your Experience: Demonstrable experience in supporting or leading an SRE function, with an understanding of aligning engineering work with business needs. Proficiency in cloud platforms such as AWS, Azure, or Google Cloud, and container orchestration with Docker and Kubernetes. Advanced knowledge of monitoring tools (e.g., Datadog, Splunk) and automation through Infrastructure as Code tools like Terraform or CloudFormation. More ❯

and CI/CD pipelines. Practical knowledge of Software Design Patterns and Software Principles (e.g., SOLID). Expert-level proficiency in Git. Nice-to-Have Technical Skills: Experience with AWS infrastructure. Expertise with NoSQL databases. Knowledge of modern frontend JS frameworks. Soft Skills: Well-versed in Agile methodologies, especially Scrum. Proficiency with Jira and Confluence for projects. Excellent mentoring skills More ❯

life What You'll Bring Solid experience in a platform focused engineering role , whether in DevOps, SRE, or internal tooling A strong grasp of cloud infrastructure, preferably Azure, but AWS or GCP experience can be considered Proficiency in a scripting or programming language e.g. Python, Bash, or Go Familiarity with container platforms like Docker and orchestration tools such as Kubernetes More ❯

life What You'll Bring Solid experience in a platform focused engineering role , whether in DevOps, SRE, or internal tooling A strong grasp of cloud infrastructure, preferably Azure, but AWS or GCP experience can be considered Proficiency in a scripting or programming language e.g. Python, Bash, or Go Familiarity with container platforms like Docker and orchestration tools such as Kubernetes More ❯

life What You'll Bring ** Solid experience in a platform focused engineering role , whether in DevOps, SRE, or internal tooling ** A strong grasp of cloud infrastructure, preferably Azure, but AWS or GCP experience can be considered ** Proficiency in a scripting or programming language e.g. Python, Bash, or Go ** Familiarity with container platforms like Docker and orchestration tools such as Kubernetes More ❯

Skilled in server-side languages such as Node.js, Python, or Go, with a proven track record of implementing complex business logic. Familiarity with cloud platforms and containerization technologies like AWS and Docker Demonstrate a passion for delivering high-quality code, with particular emphasis on accuracy, security, and scalability. Exhibit excellent problem-solving abilities and effective communication skills, especially when collaborating More ❯

a practical understanding of how to apply them effectively to real-world developer workflows. Solid technical foundation: Strong experience in DevOps practices with hands-on knowledge of cloud technologies (AWS), infrastructure as code (Terraform), CI/CD pipelines (GitLab), and containerization (Docker). Strong Python programming skills: Strong programming skills in Python, including its ecosystem for AI/ML, with More ❯

a practical understanding of how to apply them effectively to real-world developer workflows. Solid technical foundation: Strong experience in DevOps practices with hands-on knowledge of cloud technologies (AWS), infrastructure as code (Terraform), CI/CD pipelines (GitLab), and containerization (Docker). Strong Python programming skills: Strong programming skills in Python, including its ecosystem for AI/ML, with More ❯

including data science, data engineering, data security and proven experience in relevant technologies (e.g., Python applied to data science). You have experience working on cloud-based infrastructure (e.g., AWS, Azure, GCP). You have demonstrable continuous personal development. You have strong interpersonal skills. You have experience with using CI/CD tooling to analyse, build, test and deploy your More ❯

TypeScript, JavaScript (ES2022), React, React Query, React Router, MaterialUI, GitHub actions, on an increasingly more service-oriented architecture. The rest of the tech stack include Django REST Framework, PostgreSQL, AWS, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Github, Jenkins, Elasticsearch and lots of raw SQL for analytics. We have a very large but clean code base as we put significant emphasis More ❯

or a science related subject. A passion for coding, data science, and open source technologies. Ability to write and review production-grade Python. Experience with cloud computing, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tools. Fluency in our core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on More ❯

roles (preferred). You bring strong problem-solving skills, proficiency in Python, and familiarity with ML frameworks like TensorFlow or PyTorch . You have exposure to cloud platforms (e.g., AWS, GCP), containerization (Docker, Kubernetes), and scalable data systems (e.g., Spark, Kafka). You are experienced or interested in ML model serving technologies (e.g., MLflow , TensorFlow Serving) and CI/CD More ❯

Gradle/Maven). Comfortable working in Linux environments and understanding of OS-level behavior. Effective communicator and a collaborative team player. Nice-to-Have Experience Cloud technologies (e.g., AWS or Azure) Experience with our tech stack and tools- Kafka, Gradle/Maven, Grafana, PostgreSQL, Python GC-free system design for ultra-low-latency applications Knowledge or hands-on experience More ❯