6 of 6 Remote Contract Amazon Aurora Jobs

scalable,securebackendsystems usingJavaandrelatedframeworks. Defineandenforce codingstandards andbestpracticesfordevelopmentteams. Lead technicaldiscussions,mentoring,andcodereviews . Collaboratewithseniorstakeholdersto translatecomplexbusinessneedsintotechnicalsolutions . Designandimplement n-tier,microservices,andevent-drivenarchitectures (on-prem&AWS). Leverage AWSservices (Lambda,APIGateway,StepFunctions,Aurora,DynamoDB,ECS,etc.)forlarge-scale,high-throughputapplications. Ensure adherencetoarchitecturalprinciples ,Agilemethodologies,andbestpractices. Guideteamsin technologyselection andmaintainsystem reliability,security,andperformance . EssentialSkills&Experience: 10+yearsinsoftwaredevelopment, 6+yearsinJava/AWSmicroservicesarchitecture . Strongknowledgeof RESTfulAPIs , OOPprinciples ,and More ❯

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 ❯

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 If you'd like to discuss this DevOps Engineer in more detail, please send your updated CV to (url removed) and I will get in touch. 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 ❯

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 ❯