5 of 5 Contract Amazon Aurora Jobs in the South East

on productionising solutions using OCR, NLP (SpaCy), and ML to automate the processing of documents. Key Responsibilities Develop and maintain automation services using AWS serverless stack (Lambda, CDK, S3, Aurora/Postgres) Implement OCR, NLP, and ML for document analysis and automation risk assessment Lead R&D spikes and validate system improvements through robust data analysis Ensure code quality More ❯

What you'll do: As a Site Reliability Engineer based in London, you will play an integral role in supporting a wide range of AWS native databases including RDS, Aurora, Neptune, as well as CockroachDB. Your daily responsibilities will involve designing robust software solutions that enhance system performance while ensuring high availability for critical applications. You will work hand … Experience with build automation pipelines, test-driven development methodologies, continuous integration (CI), and continuous delivery (CD) practices is highly valued.* Hands-on experience managing both relational (e.g., RDS/Aurora) and non-relational databases equips you to support diverse data storage requirements.* Previous exposure to site reliability engineering concepts-including service level objectives (SLOs), service level agreements (SLAs), service More ❯

of deploying Continuous Integration solutions An awareness of security considerations in web application deployment Monitoring/Logging aka ELK, Prometheus/Grafana etc Strong AWS knowledge - EC2, EKS, RDS, Aurora, networking, cost management. More ❯

to-AWS migration showcase (client-ready demo) AI-powered email intelligence system with natural language querying Document validation integration POC with working interface Essential skills Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development More ❯

Demo - showcasing cross-cloud architecture AI-Powered Email Intelligence System - with natural language querying Document Validation POC - including interface and full integration Key Skills Required Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Streaming & CDC: Apache Kafka, AWS Kinesis, change data capture AI/Vector Search: Pinecone, Weaviate, or Chroma with LangChain API Development: RESTful services More ❯