5 of 5 Amazon S3 Jobs in Scotland

code. - Using UI pattern libraries to achieve consistent, tested, and high-quality interfaces. - Code quality, monitoring, telemetry, and analytics tools. Desirable Skills: - AWS Lambda, S3, Cloud Formation, Aurora/Postgres, API Gateway, CDK - Typescript If you would like to hear more about this opportunity please get in touch ...

delivery of a production-grade machine learning platform on AWS. What you’ll be doing Design and maintain a production MLOps platform on Amazon SageMaker (Studio, Training, Pipelines, Endpoints) — including model registry, automated retraining, drift monitoring, and governance gates Lead the migration of a 12-model production suite … architect and operate the full lifecycle AWS IAM — advanced; writes least-privilege policies from scratch, not just modifies examples Amazon S3 — advanced; including lifecycle policies, encryption, and bucket policies AWS KMS — working knowledge of key management in an ML context AWS CI/CD tooling (CodePipeline/ ...

GitLab, Bitbucket, etc. Databases: MySQL, SQL Server, Oracle, MongoDB, Snowflake, Derby Reporting tools: Aqua scan, Checkmarks, SonarQube, Datadog, Soda, SSRS, etc. Cloud: Azure, AWS (S3) basic Others: REST APIs, ElasticSearch, New Relic, CI/CD, ETL, Swagger, Postman, Rancher, Data Analytics, ML Models, GitHub Copilot, Jira and Confluence. Need ...

Requirements Proven experience in Python engineering, with a focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding ...

About the Job you are considering: An AWS Cloud Data Engineer designs, builds, and maintains scalable data architectures and pipelines using Amazon Web Services. Their primary goal is to ensure large volumes of structured and unstructured data are securely ingested, transformed, and stored so data scientists and analysts … Delta Lake. Implement data ingestion from multiple sources (APIs, streaming, databases). Your Skills: Python proficiency. AWS : Cloud formation , Service Catalog , IAM , S3 , Glue , Lambda , Knowledge python sdk, boto , EKS , ECS , ECS , VPC , SUBNETS , NACLs. Terraform : Modules , providers , terraform enterprise , Snowflake terraform provider knowledge. Snowflake : Snow sight , Python ...