1 to 25 of 662 AWS Jobs in the East of England

JavaScript. Extensive experience with modern web development frameworks like Angular, React, and Vue.js. Deep understanding of database technologies including SQL, PostgreSQL, and MongoDB. Expertise in cloud platforms such as AWS, Azure, and Google Cloud. Strong knowledge of containerization and orchestration tools like Docker and Kubernetes. Solid grasp of common design patterns and their application in complex software systems. Comprehensive understanding … of Infrastructure as Code (IaC) tools such as Terraform and AWS CloudFormation. What We Do DCU is the largest credit union headquartered in New England, serving more than one million members across all 50 states. With over 1,900 team members, we aim to make DCU a great place to work with an excellent work-life balance and a caring More ❯

experience in software development and 7+ years in backend development using JavaScript/TypeScript and Node.js. Must have strong full-stack skills with React, deep knowledge of cloud platforms (AWS, Azure, or GCP), and experience with serverless architecture, Docker/Kubernetes, and microservices. Proficiency with Git, CI/CD, and modern DevOps practices is essential. Bonus if you have experience More ❯

such as Next.js or Vite LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose Infrastructure as Code (IaC): Exposure to tools like Terraform Monitoring Tools: Familiarity More ❯

such as Next.js or Vite. LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity More ❯

such as Next.js or Vite. LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity More ❯

such as Next.js or Vite. LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity More ❯

such as Next.js or Vite. LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity More ❯

such as Next.js or Vite. LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity More ❯

such as Next.js or Vite. LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity More ❯

such as Next.js or Vite. LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity More ❯

such as Next.js or Vite. LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity More ❯

such as Next.js or Vite. LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity More ❯

such as Next.js or Vite. LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity More ❯

such as Next.js or Vite. LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity More ❯

to detail. Solid understanding of logging, monitoring and observability to understand if software is functioning as required. Strong communication and teamwork skills. Preferred Skills: Experience with cloud platforms e.g., AWS, Azure, Google Cloud. Knowledge of DevOps practices and CI/CD pipelines. Experience with containerization technologies e.g., Docker, Kubernetes Experience in writing distributed systems and concepts of sharding, Pub/ More ❯

Java). Experience designing and implementing data-driven APIs. Exposure to frontend development (particularly React.js, Tailwind, REDUX, Typescript) Past project experience with large scale webservices. Cloud infrastructure experience with AWS and/or Google Cloud, Azure, etc. Infrastructure-as-code experience, such as with Terraform or Cloud Formation. In-depth experience with unit and integration testing, and test automation generally. More ❯

and development Enterprise Integration especially web services Experience working in an Agile environment Experience with Linux system architecture/administration and supporting network architecture Experience working in cloud infrastructure (AWS, GCP, or Azure) Knowledge of or experience with: OpenLayers, PostGIS, Pyramid, Shapely, Turf, and SQLAlchemy Education Bachelor’s degree from an accredited university in Computer Science, Engineering, or a related More ❯

or Context API . Experience with TypeScript and Server-Side Rendering (SSR) . Previous experience building applications with a focus on security and compliance . Understanding of cloud technologies (AWS, Azure, GCP) and containerisation (Docker). Experience working in Agile environments and collaborating closely with cross-functional teams. We’ll give you the freedom to innovate, push boundaries, and make More ❯

and development Enterprise Integration especially web services Experience working in an Agile environment Experience with Linux system architecture/administration and supporting network architecture Experience working in cloud infrastructure (AWS, GCP, or Azure) Knowledge of or experience with: OpenLayers, PostGIS, Pyramid, Shapely, Turf, and SQLAlchemy Education Bachelor's degree from an accredited university in Computer Science, Engineering, or a related More ❯

and development Enterprise Integration especially web services Experience working in an Agile environment Experience with Linux system architecture/administration and supporting network architecture Experience working in cloud infrastructure (AWS, GCP, or Azure) Knowledge of or experience with: OpenLayers, PostGIS, Pyramid, Shapely, Turf, and SQLAlchemy Education Bachelor’s degree from an accredited university in Computer Science, Engineering, or a related More ❯

the UK. What You'll Need Degree in a relevant field or equivalent experience in similar roles 3+ years' experience in a full-stack development position Strong experience in AWS cloud development, including hands-on work with services such as ECS, EC2, and infrastructure as code tools like Terraform and Docker. Proficiency in modern development stacks, with a preference for … Node.js, TypeScript, and React Experience working with cloud platforms and real-time databases, including GCP, Firebase, and AWS. Proficient in designing, developing, and working with REST APIs and AWS Lambda functions. Excellent problem-solving and communication skills Your Key Responsibilities Design, develop, and maintain scalable cloud back-end solutions and infrastructure Own and uphold high standards for code quality and More ❯

systems and cloud-native architecture (e.g., Kubernetes, Serverless, containers, microservices). Hands-on experience with load testing frameworks (e.g., Locust, JMeter, k6) and system profiling tools. Strong experience with AWS, GCP, or Azure, and IaC tools (Terraform, Helm, etc.). Familiarity with CI/CD pipelines, monitoring tools, and production support practices. Proven experience monitoring production systems, designing actionable alerts … and improving reliability through observability (metrics, logs, tracing). “Nice To Have” Skills And Experience Experience with workload orchestration or job scheduling systems (e.g., AWS Batch, Slurm, LSF). Exposure to compute-intensive domains such as EDA, HPC, or large-scale simulation. Knowledge of FinOps practices or cloud cost optimization. Contributions to highly available production systems with defined SLAs. In More ❯

Excellent problem-solving skills and the ability to make sound technical decisions. Preferred: Master's degree in Computer Science, Engineering, or a related field. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with microservices architecture and RESTful API design. Strong understanding of database technologies (SQL and NoSQL). Experience with Agile More ❯

the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS … data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with unstructured database technologies (e.g. NoSQL) and other More ❯

the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS … data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with unstructured database technologies (e.g. NoSQL) and other More ❯