8 of 8 Amazon S3 Jobs in Edinburgh

cloud-based applications. Designing solutions for reliability, scalability and cost efficiency. Desirable technical skills Experience with additional AWS services such as API Gateway, DynamoDB, S3, SQS, SNS, EventBridge, CloudWatch and IAM. Experience withInfrastructure as Code, particularly AWS CDK, CloudFormation or Terraform. Experience with Node.js and the wider TypeScript ecosystem. ...

Factory, Informatica, or similar.Hands-on experience with major cloud platforms (AWS, Azure, or GCP) including Snowflake deployment, networking (Private Link), and cloud storage integration (S3, ADLS, GCS); familiarity with lakehouse stacks (Databricks, Delta Lake, Apache Iceberg) is a plus.Mastery of Snowflake security and governance: RBAC, tag-based governance, dynamic ...

Experience: Proven hands-on experience with Informatica MDM (Core, C360, and/or R360) setups and migrations. Strong understanding of AWS cloud services (EC2, S3, RDS, IAM, Lambda, Networking). Experience designing and implementing MDM data models, survivorship rules, and match/merge configurations. Proficiency in applying data quality ...

good engineering rather than multiplying mediocre code. Tech stack Java (Spring Boot), RESTful APIs, Kafka/event‐driven services CI/CD pipelines, AWS (S3, Lambda, ECS, EKS, MSK) Kubernetes, containerisation, infrastructure as code AI integrations, agentic development workflows, strong security practices Responsibilities Build Java services across REST APIs ...

quality Requirements What We’re Looking For Must Have Strong Python expertise in production environments Experience building cloud-native systems on AWS (Lambda, DynamoDB, S3, EventBridge) Experience working with LLMs or AI/ML systems Strong understanding of APIs, async systems, and scalable architecture Nice to Have Experience with ...

trail requirements Overseeing the implementation of regulatory and compliance reporting pipelines where relevant to a client's sector Working with cloud data services (e.g. S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA, or their equivalents on other platforms) — selecting the right tool for each ...

Have experience with GraphQL and REST, and are comfortable working across modern web applications and APIs. Have experience with AWS, S3, CloudFront and Terraform, with a strong understanding of cloud-based platforms. Have experience with AI, particularly agentic approaches and workflow automation, and enjoy building proof of concepts ...

agents across client platforms Architect and implement RAG pipelines using Amazon Bedrock Knowledge Bases, managing vector stores, embeddings, and document ingestion from S3 and other sources Apply the A2A (Agent-to-Agent) protocol to enable interoperability between agents across systems and workflows Instrument AI systems with observability … compliance requirements Integrate LLMs into client applications through prompt engineering, context management, and function/tool calling patterns Leverage serverless infrastructure — AWS Lambda, DynamoDB, S3 — to build scalable, cost-efficient backends for AI workloads Collaborate with client engineering and product teams to translate requirements into agent architectures, contributing ...