12 of 12 Amazon-DynamoDB Jobs in London

SREs, Product Owners, Delivery Managers and other technical stakeholders Helping deliver reliable, secure and scalable digital services Technology Stack AWS: API Gateway, Lambda, DynamoDB, SQS, S3, CloudFormation, SAM, Secrets Manager, Firehose, CloudWatch, VPC Development: TypeScript, Node.js, Jest/Vitest, Docker DevOps: GitHub, GitHub Workflows, AWS CodePipeline, Sonar Operations ...

Bash or PowerShell Solid grasp of cloud platforms like AWS, including an understanding of how core services like EC2, ECS, Lambda, and DynamoDB operate under reliability constraints Practical experience using infrastructure-as-code tools like CloudFormation or Terraform In-depth knowledge of CI/CD principles and hands ...

writing unit and integration tests with Jest. Knowledge of microservices architecture, API gateways (such as Kong), and databases including Aurora PostgreSQL or DynamoDB would be beneficial. Familiarity with security principles including IAM, encryption and networking, alongside observability tools such as OpenTelemetry, Honeycomb or Grafana. What's Next ...

similar version control systems in a collaborative environment Solid understanding of relational databases, data modelling, and SQL Familiarity with non-relational databases like DynamoDB, MongoDB Basic knowledge of web technologies and modern frontend frameworks, ideally Angular Proven collaboration in cross-functional teams with Product, UX, and Agile roles ...

tools such as Claude Code as part of your development process, evaluating outputs and maintaining high engineering standards. Tech Stack : AWS (RDS, S3, DynamoDB, EBS, IAM), Terraform, Ansible, Jenkins, GitLab, Docker, Kubernetes (EKS/ECS), Linux, Python, VPC, ALB, Route 53, security groups. Knowledge of security, obserability ...

systems Experience deploying and supporting applications across multiple environments Strong debugging and problem-solving skills Nice to Have Experience with EKS, Lambda, Fargate, DynamoDB or similar AWS services Experience with observability, monitoring and platform automation Knowledge of CI/CD pipelines and DevOps practices Experience improving developer experience ...

meet complex business needs and support informed decision-making. Experience Required: Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage and big data technologies ...

lifecycle of schemas including versioning, updates, and retirement. Thorough knowledge of writing building audit logging and metadata in DynamoDB & forwarding the details via CloudWatch Should be able to understand the 15/60 PM counter granularity and able to write codes for aggregation Build and optimize distributed data ...

. Hands-on experience with AWS and/or Databricks . Knowledge of AWS services including S3, Lambda, Glue, RDS and DynamoDB . Experience with Terraform or AWS CDK , Git and modern development practices. Strong troubleshooting skills and the ability to communicate effectively with both technical ...

Java, Kotlin and TypeScript Experience designing and building distributed systems or backend services Experience with cloud infrastructure (AWS — e.g., Ec2, NLB, ElastiCache, Lambda, DynamoDB) Experience with infrastructure-as-code (AWS CDK) Strong understanding of networking fundamentals (DNS, HTTP/TLS, load balancing) Experience operating and maintaining production software ...

scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse ...

target mapping and data migration experience. Experience migrating relational SQL databases into a document-oriented NoSQL platform such as Cosmos DB, MongoDB, DynamoDB or Couchbase. Strong understanding of data modelling, ETL/ELT and transformation methodologies. Familiarity with Microsoft Azure or comparable cloud data services. Strong communication ...