7 of 7 Amazon S3 Jobs in the City of London

excited by the prospect of building and running the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure … customer success, and are committed to improvement. AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWSs services and features apart ...

Hybrid3daysperweekintheoffice) £65,000£80,000perannum+Bonus+ExcellentBenefits WereworkingwithanexcitingentertainmentcompanythatslookingforaPlatformEngineertostrengthentheircloudandinfrastructurecapabilitiesasthebusinessscales. Youlljoinahighlyskilledengineeringteambuildingsecure,resilient,andscalableplatformsthatpowerreal-timefinancialapplications.Withastrongfocusonautomation,reliability,andcompliance,youllhelpshapethenextgenerationoftheirAWS-basedinfrastructureanddevelopertooling. Thisisanopportunitytohaverealtechnicalinfluenceinacloud-nativeenvironment,drivingbestpracticesacrossDevOps,infrastructure,andplatformengineering. TechStack Cloud: AWS(EC2,RDS,S3,IAM,CloudWatch,Lambda) InfrastructureasCode: Terraform Containerisation&Orchestration: Docker,Kubernetes(EKS),Helm ConfigurationManagement: Ansible Monitoring&Observability: Grafana,Prometheus CI/CD: GitHubActions Automation&Scripting: Python ...

cloud-native development . Strong understanding of SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis). Proficient in AWS cloud services especially Lambda, SQS, S3, Cognito, API Gateway, EventBridge, etc. Hands-on experience with DevOps practices (CI/CD pipelines, Docker, GitHub Actions). Familiarity with frontend tooling such ...

innovating with cutting-edge innovation and leadership? We're on the look out for a Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster ...

error handling, monitoring, and retry strategies in production pipelines Experience with incremental data processing patterns (CDC, watermarking, upserts) AWS Data Services Amazon S3: data lake architectures, partitioning strategies, lifecycle policies DynamoDB: data modeling, secondary indexes, streams, and performance optimization Amazon Redshift: foundational querying, integrations … performance considerations AWS Lambda for scalable data processing and orchestration Amazon EventBridge for event-driven and decoupled data pipelines Vector Databases & Embeddings Strong understanding of vector database concepts, indexing strategies, and performance trade-offs Design and implementation of embedding generation pipelines Optimization techniques for semantic search and retrieval ...

experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure software development ...

with strong error handling and retry logic. Develop incremental data processing patterns for large-scale datasets. Work with AWS services including Glue, Step Functions, S3, DynamoDB, Redshift, Lambda, and EventBridge. Build and optimise vector database solutions and embedding generation pipelines for semantic search. Implement document processing workflows (PDF parsing ...