12 of 12 DynamoDB Jobs in Manchester

Experience with version control systems (GIT). Knowledge of configuration management tools (Ansible, Chef, Puppet). Exposure to Agile methodologies and DevOps practices. Understanding of database services (MySQL, PostgreSQL, DynamoDB, etc.). Risk, Financials, Process and Change Capabilities: Ability to assess and mitigate risks associated with cloud implementations. Ensure compliance with regulatory requirements concerning cloud operations. Personal Attributes: Strong More ❯

DevOps environment. We leverage technologies like C#, .NET, and AWS as our primary tools. Additionally, we work with a range of technologies such as Terraform, Node.js, React.js, TypeScript, and DynamoDB, among others. A Few Things About You You're confident working with C#, along with ASP.NET or .NET. You also have solid experience with React.js, TypeScript, Node.js, and modern More ❯

great managers from all backgrounds, and experience in the following areas would be a plus: .NET & Cloud Development: .NET Framework/Core (C#, ASP.NET, Web API), AWS (EC2, Lambda, DynamoDB, S3). Infrastructure as Code (IaC): CloudFormation, Terraform, or Serverless. DevOps & CI/CD: TeamCity, Octopus, BitBucket Pipelines, GitHub Actions, Docker, Kubernetes. Software Architecture & Testing: Microservices, TDD, unit testing More ❯

degree in Computer Science or equivalent Nice to Have Experience in developing Finance or HR related applications Experience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic Cache, Lambda Working experience with Terraform Experience in creating workflows for Apache Airflow About Roku Roku pioneered streaming to the TV. We connect users to the streaming More ❯

integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration More ❯

integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration More ❯

is confident in modern cloud-native development and familiar with transitioning from legacy systems. Technologies include: Backend: .NET 8, Python, JavaScript Frontend: React Cloud: AWS including EKS, ECS, Lambda, DynamoDB, Aurora, DocumentDB Infrastructure: Docker, Linux, Terraform Eventing/Messaging: Kafka, SNS/SQS, EventBridge CI/CD: GitHub Actions, GitHub Enterprise About You Strong hands-on engineering background with More ❯

software engineering . You should have: ? Deep experience in .NET development (C#, ASP.NET, .NET Core). ? AWS cloud expertise hands-on with services like Lambda, ECS, API Gateway, RDS, DynamoDB, S3, IAM, and more. ? Strong SQL and NoSQL database experience. ? A background in event-driven architectures (Kafka, SNS, SQS). ? Hands-on experience with containerisation (Docker, Kubernetes) . ? Strong More ❯

team leverages the technology that fits their needs best. You'll see us working with data processing/streaming like Kinesis, Spark and Flink; application technologies like PostgreSQL, Redis & DynamoDB; and breaking things using in-house chaos principles and tools such as Gatling to drive load all deployed and hosted on AWS. Our services teams are advocates of functional … Infrastructure, preferably with AWS . Web services experience: including REST and GraphQL . Monitoring and optimising applications written for the JVM . Relational and NoSQL databases, particularly PostgreSQL, Aurora, & DynamoDB with experience modelling & optimising query performance. Kinesis or any other streaming data. Understanding of statistical analysis of data. Experience with or an interest in " DevOps " tooling & infrastructure as code. More ❯

years or more minimum commercial experience as a modern Software Engineer Demonstrable experience in AI Models (OpenAI, Gemini or other) AWS Lambda, Microservices, API Gateway, S3, Document Databases (DynamoDB, MongoDB, Elastic or similar) Infrastructure as Code (Serverless, Cloudformation, Terraform or similar) - DevOps mindset A solid working understanding of automation, CI & deployment tooling such as Git & Actions 2-4 years More ❯

answers, but rather someone who is prepared to grow with us. We have in-team knowledge sharings and allocated focus time for engineering excellence. Experience developing with AWS offerings - DynamoDB, SQS, ECS, Lambda, etc. Experience in building and operating distributed, event driven systems. Familiarity with GitHub and CI/CD workflows Understanding of Authentication & Authorization Workflows Familiarity with the More ❯

of the following skills: Understanding of TypeScript, Nodejs and React Experience with writing JavaScript Unit Tests for functions and React Functional Components Experience developing with AWS offerings - DynamoDB, SQS, ECS, Lambda, etc. Familiarity with GitHub and CI/CD workflows Understanding of Authentication & Authorization Workflows Familiarity with the Twilio platform or other Realtime communications platforms Knowledge of containerisation technologies More ❯