15 of 15 DynamoDB Jobs in the North of England

the ability to convey complex concepts to diverse audiences. Detail-oriented with a commitment to delivering high-quality, reliable work. Client Tech Stack: Languages : Node.js, TypeScript, React Databases : PostgreSQL, DynamoDB, Redis AWS Services : Lambda, SQS, S3, Cognito, EventBridge, CloudFormation, Fargate, SES, CodeBuild, CodePipeline, CloudFront, API Gateway, and more. What happens next? One of our Recruitment Consultants will be in More ❯

expertise in TypeScript , ReactJS , Node.js , and RESTful API development . Experience with microservices , event-driven architecture , and cloud-native development . Strong understanding of SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis). Proficient in AWS cloud services especially Lambda, SQS, S3, Cognito, API Gateway, EventBridge, etc. Hands-on experience with DevOps practices (CI/CD pipelines, Docker, GitHub Actions More ❯

team environment. Essential Skills & Experience: Skilled in Golang for backend development Experience with AWS-managed services, particularly event-driven architectures, serverless, and real-time data processing (Lambda, SQS, SNS, DynamoDB, Kinesis, etc.) Strong understanding of RESTful microservice architectures Hands-on experience with React and TypeScript (or similar front-end frameworks) Familiar with git or other distributed source control systems More ❯

an agile mindset and the ability to juggle multiple priorities. The stack youll be working with Cloud: AWS, Azure Compute: .NET 8, ECS, Azure VM, Lambda, Azure Functions Databases: DynamoDB, MS SQL Messaging: SNS, SQS, EventBridge, Event Grid Web: React, TypeScript DevOps: GitHub Enterprise, Azure DevOps, Terraform, GitHub Actions, Azure Pipelines Useful extras Experience with Docker, Event-Driven Architecture More ❯

Level 3 (L3) support 24/7 (including out of hour on-call support) Requirements: Experience with Java (Springboot) and AWS cloud services (ECR, ECS, Lambda, API Gateway, S3, DynamoDB, Step Functions, Apigee) Proficiency in AngularJS, Jenkins, Karate, Node 10, Groovy, Bash, Typescript. Knowledge of Gherkin, Cypress, Jest Tooling: Gitlab, Jenkins, CloudFormation, Maven, Docker, Fortify on Demand, SonarQube AWS More ❯

looking for: Proven experience in a software engineer role. Strong experience with modern React (TypeScript, HTML, CSS). Proven backend development skills with RESTful APIs (AWS Lambda, API Gateway, DynamoDB). Experience deploying frontend apps on AWS (CloudFront, S3, Cognito). Proficiency with Git, CI/CD, and infrastructure-as-code (AWS SAM or CloudFormation). Familiarity with automated More ❯

pipelines and source control. Apply modern development standards. Integrate systems and services. Support service operations and maintenance. Requirements: Experience with AWS cloud services (ECR, ECS, Lambda, API Gateway, S3, DynamoDB, Step Functions, Apigee) Proficiency in Java (Springboot), AngularJS, Jenkins, Node 10, Groovy, Bash, Typescript. Tooling: Gitlab, Jenkins, CloudFormation, Maven, Docker, Fortify on Demand, SonarQube Knowledge of Karate, Gherkin, Cypress More ❯

and stakeholders to shape technical strategy Solve complex engineering challenges to enhance performance, resilience, and maintainability Technical Stack: Backend: .NET 8, AWS Lambda, ECS, EKS Databases: SQL/NoSQL (DynamoDB, Aurora, DocumentDB MongoDB experience a bonus) Event-Driven Systems: Kafka, AWS MSK, EventBridge, SNS/SQS DevOps & Infrastructure: Terraform, GitHub Actions, Docker Frontend: React What Were Looking For: Proven More ❯

player 5+ years of professional experience in full-stack development. Strong proficiency in Python (FastAPI) and React/Next.js . Solid experience with SQL and NoSQL databases (e.g., Postgres, DynamoDB). Experience working with AI/ML models and APIs (LLMs, embeddings, vector search). Strong understanding of data engineering practices (ETL, schema design, performance tuning). Proficiency in More ❯

player 5+ years of professional experience in full-stack development. Strong proficiency in Python (FastAPI) and React/Next.js . Solid experience with SQL and NoSQL databases (e.g., Postgres, DynamoDB). Experience working with AI/ML models and APIs (LLMs, embeddings, vector search). Strong understanding of data engineering practices (ETL, schema design, performance tuning). Proficiency in More ❯

Take ownership of technical leadership, mentoring engineers while remaining hands-on in the code. Work with a modern and evolving stack including AWS, Azure, .NET 8, Terraform, React, TypeScript, DynamoDB and event-driven architectures. Shape the technical roadmap in collaboration with product managers, architects and stakeholders. Deliver highly-scalable cloud-native solutions used daily by a large professional user … with the ability to influence technical and non-technical stakeholders. The stack youll be working with Cloud : AWS, Azure Compute : .NET 8, ECS, Azure VM, Lambda, Azure Functions Databases : DynamoDB, MS SQL Messaging : SNS, SQS, EventBridge, Event Grid, Azure Service Bus Web : React, TypeScript DevOps : GitHub Enterprise, Azure DevOps, GitHub Actions, Azure Pipelines IAC : Terraform Useful extras Docker, microservices More ❯

technical guidance to team members as needed. Profile The successful Senior Data Engineer should have: A strong background in data engineering or related fields. Strong experience with thefollowingAWS services: DynamoDB Glue S3 Athena Proven experience working with data lakes and large-scale data processing Excellent communication and data storytelling skills Job Offer The successful Senior Data Engineer will be More ❯

technical guidance to team members as needed. Profile The successful Senior Data Engineer should have: A strong background in data engineering or related fields. Strong experience with thefollowingAWS services: DynamoDB Glue S3 Athena Proven experience working with data lakes and large-scale data processing Excellent communication and data storytelling skills Job Offer The successful Senior Data Engineer will be More ❯

engineers to reduce time-to-production for experiments and prototypes. Design and optimize data wrangling and transformation workflows using Python. Leverage AWS cloud services (EC2, S3, Lambda, SageMaker, RDS, DynamoDB, Redshift, etc.) to build robust, scalable, and cost-effective solutions. Apply AIOps practices to enhance monitoring, automation, and resilience of ML systems. Implement best practices in data engineering, version … Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI (SageMaker, AI/ML frameworks). Hands-on experience with ML pipeline orchestration, CI/CD, and deployment automation. Deep understanding of ML More ❯

Senior Backend Engineer Leeds - 2x a week Salary: £65k D.O.E Fruition IT are working with a well-established tech-first business who are embarking on a complete technical transformation. This client is looking to bring in a team of Software More ❯