1 to 25 of 70 Permanent DynamoDB Jobs in the UK

Exposure to MLOps practices for deploying and monitoring AI models in production Familiarity with microservices, event-driven architectures, and API-first design Database experience (SQL and NoSQL, e.g., PostgreSQL, DynamoDB) Infrastructure as Code (IaC) experience (Terraform or similar) Experience with front-end and back-end frameworks (e.g., React, Express.js, or equivalents) Containerization and orchestration experience (Docker, Kubernetes) Admiral: Where More ❯

MQ. Microservice development. Typescript Cloud native development (AWS, Azure, GCP) CI/CD. NoSQL data modelling and access patterns Important Skills AWS: familiarity with S3, AppSync, SNS, SQS, Lambda, DynamoDB, MySQL, React AWS Infrastructure as Code: CDK and CloudFormation. Xunit. GitHub. Desirable Skills Data warehouse design. Requirements capture. Experience Demonstrable experience working full stack implementing event driven architecture solutions More ❯

and reusable code in TypeScript (Node.js for backend, React/Next.js for frontend if full-stack). Build and deploy serverless applications using AWS services like Lambda, API Gateway, DynamoDB, S3, Step Functions, and EventBridge. Design and implement RESTful APIs and/or GraphQL endpoints. Write infrastructure as code (IaC) using tools like AWS CDK (TypeScript), CloudFormation, or Terraform. More ❯

with strong hands-on programming skills and software engineering fundamentals, with experience building scalable solutions in cloud environments (AWS preferred) Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Solid foundation in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. Experience developing reusable components and More ❯

and Terraform. Hands-on with Docker and Kubernetes for containerization and orchestration. Strong experience with REST APIs, FastAPI/Flask, and backend microservices . Solid database skills ( PostgreSQL, MySQL, DynamoDB, MongoDB, Redshift, Snowflake ). Excellent knowledge of CI/CD pipelines and DevOps practices. Experience with Agile/Scrum delivery models . Strong communication and ability to mentor junior More ❯

a close knit Scrum/Agile team whilst always practicing the importance of Secure Software Development. Having skills in technologies such as Kubernetes, Docker and Database engineering (PostgreSQL/DynamoDB) would be desirable but not essential. Role at a glance: Senior Software Engineer (Cardiff) Fully remote or Hybrid positions available (UK only) A competitive starting salary of More ❯

a close knit Scrum/Agile team whilst always practicing the importance of Secure Software Development. Having skills in technologies such as Kubernetes, Docker and Database engineering (PostgreSQL/DynamoDB) would be desirable but not essential. Role at a glance: Senior Software Engineer (Cardiff) Fully remote or Hybrid positions available (UK only) A competitive starting salary of More ❯

a close knit Scrum/Agile team whilst always practicing the importance of Secure Software Development. Having skills in technologies such as Kubernetes, Docker and Database engineering (PostgreSQL/DynamoDB) would be desirable but not essential. Exposure to MLOps practices for deploying and monitoring AI models in production would also be highly desirable. Role at a glance: Senior Software More ❯

a close knit Scrum/Agile team whilst always practicing the importance of Secure Software Development. Having skills in technologies such as Kubernetes, Docker and Database engineering (PostgreSQL/DynamoDB) would be desirable but not essential. Exposure to MLOps practices for deploying and monitoring AI models in production would also be highly desirable. Role at a glance: Senior Software 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 ❯

is fully built on cloud-native and serverless technologies. Our primary stack is based on Typescript with React & Material UI, Postgres, Hasura and AWS Serverless Technologies such as Lambda, DynamoDB and EventBridge - all managed via AWS CDK & SST. We use Sentry, Lumigo and LogRocket for observability and Github Actions for automated testing and deployment. End-to-end Ownership. You More ❯

developed using TypeScript, React, and Redux We implement GraphQL and RESTful APIs using NodeJS and Python Our backend services are implemented in C#/.NET or Typescript/NodeJS DynamoDB, Redshift, Postgres, Opensearch, and S3 are our go to data stores We run our ETL data pipelines using Python Equal Opportunities We are an equal opportunities employer. This means More ❯

Familiarity with event-driven architecture (e.g. EventBridge, SNS/SQS). Passion for high-quality, secure, and maintainable code. Tech Stack Backend: .NET 6/8, C#, AWS, Terraform, DynamoDB, EventBridge, SNS/SQS Frontend: React, TypeScript, REST APIs DevOps & CI/CD: GitHub Actions, Infrastructure-as-Code Testing: Playwright, K6 Why Apply? Opportunity to lead on a truly 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 ❯

reliable software delivery What You’ll Bring Extensive experience in our modern technology stack which includes React, Node.js and Typescript Experience with the AWS services such as Amazon Cognito, DynamoDB Lambda, S3, Eventbridge, AppSync, API Gateway and SQS Experience using Serverless stack to build and deploy serverless applications into AWS cloud Exceptional communication skills within the team and across More ❯

in collaborative environments and enjoy mentoring and sharing knowledge Adaptable, able to manage multiple projects and evolving priorities. Nice to have: Expertise in AWS services (Lambda, API Gateway, S3, DynamoDB, SQS, SNS) Familiar with messaging systems and event-driven architectures Knowledge with infrastructure as code IaC (Terraform, CloudFormation, AWS CDK) Understanding of CI/CD pipelines and DevOps practices More ❯

to connectivity challenges. Our stack Backend: PHP (Laravel), Python (for AI/ML workflows) Frontend: React, Next.js (preferred), with flexibility for other modern frameworks Infrastructure: AWS (including Lambda, S3, DynamoDB), DigitalOcean Data: MySQL, Redis, NoSQL stores Dev tools: GitHub, CI/CD, Docker AI & Automation: LLM APIs, vector databases, agentic workflow tools, n8n, Claude Code, Cursor What were looking More ❯

strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data engineering , schema design, ETL, and optimisation. Proficiency with cloud (AWS preferred) and containerised deployments More ❯

code reuse. - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, Amazon EMR and Amazon Redshift. Since this is a customer facing role, you might be required to travel to client locations and deliver professional services when needed, up to More ❯

Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience with AWS services (e.g., EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway) Strong SQL skills for complex data queries and transformations Python programming for data processing and analysis is a plus Strong leadership, communication, and collaboration skills More ❯

industry. Requirements: 5+ years of experience as a Full Stack Engineer, with a strong track record of delivering end-to-end solutions. Proficiency with TypeScript, AWS Serverless, AWS Lambdas, DynamoDB, and Node.js is crucial. Familiarity with CI/CD pipelines, immutable infrastructure, containers, and serverless architectures. Demonstrated ability to tackle complex problems and drive them to completion independently. Understanding More ❯

align with business goals and user needs Qualifications 5+ years of hands-on experience with Python, Java and/or C++ Development of distributed systems Kubernetes (K8s) AWS (SQS, DynamoDB, EC2, S3, Lambda) Apache Spark Performance testing Bonus Search system development (indexing/runtime/crawling) MLOps development and/or operations The cash compensation range for this role More ❯

and evaluation (ground-truth sets, offline/online metrics). 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 ❯

a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release More ❯

Docker, Kubernetes) to support AI/ML model deployment.Proficiency in cleansing, filtering, and integrating data from diverse sources, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB).Familiarity with Workday data structures, APIs, and reporting tools. Experience working with generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to solve real More ❯