12 of 12 Remote Amazon Aurora Jobs in the UK

building REST/JSON APIs Proficiency with Docker for local and cloud deployments Excellent communication skills Nice-to-have skills for Java Developers Knowledge of JavaScript & ReactJS Familiarity with Amazon Aurora/RDS Experience with JUnit and testing frameworks To apply for the Java Developers role, please send your CV by pressing the apply button. More ❯

Location: Remote (Europe) Start date: Within 1-3 weeks of offer Tech Stack: AWS: EKS/ECS, EC2, ALB/NLB, API Gateway, Lambda, S3/CloudFront, DynamoDB, ElastiCache, Aurora, MSK/Kinesis, OpenSearch, Route53, WAF/Shield, CloudWatch, X-Ray, IAM, KMS, Secrets Manager IaC & CI/CD: Terraform, CloudFormation, Helm, Argo CD, Flux, GitHub Actions, Jenkins, GitLab More ❯

and automation with Python or Bash. Modern CI/CD practices and pipeline creation (e.g., Jenkins, GitHub Actions). Infrastructure as Code tools (Terraform), configuration management (Ansible preferred). Aurora/RDS MySQL (including replication). Monitoring/logging tools (Datadog, Sumo Logic, etc.). Security best practices (server hardening, 2FA, secure data storage). Solid understanding of networking More ❯

and automation with Python or Bash. Modern CI/CD practices and pipeline creation (e.g., Jenkins, GitHub Actions). Infrastructure as Code tools (Terraform), configuration management (Ansible preferred). Aurora/RDS MySQL (including replication). Monitoring/logging tools (Datadog, Sumo Logic, etc.). Security best practices (server hardening, 2FA, secure data storage). Solid understanding of networking More ❯

compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re More ❯

compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re More ❯

compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re More ❯

compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re More ❯

compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re More ❯

ability and a track record of meeting deadlines Excellent communication skills for cross-team collaboration Desirable skills (not essential, but a big plus): SSAS, SSRS, SSIS Kafka, MSK, Snowflake, Aurora DB, SNS AWS or Azure database management If you're ready to join a company that challenges limits, delivers excellence, and offers a truly rewarding career path, we want More ❯

reliable, and high-performance data pipelines and workflows. Develop clean, maintainable, and testable code in Python for data ingestion, transformation, and processing. Optimise and fine-tune query performance on Aurora Postgres and other relational databases. Architect and manage data solutions on AWS using serverless technologies such as Lambda, Glue, Glue Data Catalog, EMR serverless, and API Gateway. Implement and … manage large-scale data processing with Spark (Iceberg tables in S3, Gold layer in Aurora Postgres). Collaborate with data scientists, analysts, and stakeholders to ensure data availability, accessibility, and reliability. Design and maintain robust data models that align with business and financial domain requirements. Ensure best practices for data security, governance, and compliance. Profile Strong Python development skills … with experience writing clean, extensible, and testable code. Proven experience with relational databases (Aurora Postgres preferred), including performance optimisation. Extensive AWS experience, particularly with serverless data engineering tools (Lambda, Glue, Glue Data Catalog, EMR serverless, API Gateway, S3). Solid Spark experience with large-scale data pipelines and data lakehouse architectures (Iceberg format a plus). Hands-on experience More ❯

able to design and write clean, maintainable, and testable code). Extensive AWS expertise, particularly across: Lambda Glue Glue Data Catalog EMR services API Gateway Relational database experience with Aurora Postgres (including query performance tuning). Spark experience, including pipelines using Spark on data stored in iceberg table format in S3 and federated through Aurora Postgres. Proven experience More ❯