16 of 16 Amazon S3 Jobs in the Thames Valley

improvement. Participate in sprint planning, technical design sessions, and architectural reviews. Required Skills & Experience: Strong proficiency in React. Deep experience with AWS services such as Lambda, API Gateway, DynamoDB, S3, and CloudFormation. Solid understanding of TypeScript, Node.js, and RESTful API design. Familiarity with DevOps practises and tools (e.g., GitHub Actions, Terraform, CloudWatch). Experience working in Agile environments and More ❯

innovation roadmap What You'll Bring: Essential Skills: AWS Certified DevOps Engineer (or equivalent hands-on experience) Deep experience across core AWS services: EC2, Lambda, RDS, VPC, IAM, CloudFormation, S3 Proven track record managing complete AWS lifecycle including provisioning, monitoring, cost optimization Strong CI/CD pipeline expertise and containerization (Docker/Kubernetes) Infrastructure-as-Code mastery (Terraform, CloudFormation More ❯

culture of continuous learning and development. Requirements Proven experience as an AWS Platform Engineer, with a strong focus on multi-tenanted platforms. Extensive knowledge of AWS services, including EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and more. Strong background in networking, including VPN, DNS, load balancing, and firewall configurations. Demonstrated expertise in security practices, including identity and access management More ❯

What makes you an asset to our team: 2+ years of commercial experience with Azure and/or AWS is essential (using IAM/AAD, keyvault, blob storage/S3, azure functions/lambdas, web apps, queues, database and managed services/products - e.g. cosmosDB/DynamoDB). 2+ years of in a few of the areas: serverless architecture More ❯

stack: AWS, Docker, SQL/NoSQL, CI/CD pipelines Tech You'll Work With C#/.NET (Core and latest versions) SQL Server, Postgres, MongoDB, DocumentDB AWS : ECS, S3, SQS, RDS, DocumentDB Docker for containerisation Git/Bitbucket , Agile workflows Bonus: exposure to CI/CD , microservices , or Blazor/MAUI You'll Thrive If You... Have 3+ More ❯

on premise Kubernetes clusters Deep knowledge of Kubeflow or similar systems such as MLflow Proficient in Python and experienced with Linux systems Familiar with AWS services such as Cognito, S3, EC2 and Lambda Experience working with ML frameworks such as PyTorch or Lightning Capable of designing and delivering ML Ops solutions across various platforms Desirable Skills Background in DevOps More ❯

on premise Kubernetes clusters Deep knowledge of Kubeflow or similar systems such as MLflow Proficient in Python and experienced with Linux systems Familiar with AWS services such as Cognito, S3, EC2 and Lambda Experience working with ML frameworks such as PyTorch or Lightning Capable of designing and delivering ML Ops solutions across various platforms Desirable Skills Background in DevOps More ❯

as-code tools to build robust data pipelines and applications that process complex datasets from multiple operational systems.Key Responsibilities: Build and maintain AWS-based ETL/ELT pipelines using S3, Glue (PySpark/Python), Lambda, Athena, Redshift, and Step Functions Develop backend applications to automate and support compliance reporting Process and validate complex data formats including nested JSON, XML More ❯

code tools to build robust data pipelines and applications that process complex datasets from multiple operational systems. Key Responsibilities: Build and maintain AWS-based ETL/ELT pipelines using S3, Glue (PySpark/Python), Lambda, Athena, Redshift, and Step Functions Develop backend applications to automate and support compliance reporting Process and validate complex data formats including nested JSON, XML More ❯

the ability to purchase more Share options Private health insurance What's required to be successful in this role? Proven experience with AWS cloud services and architecture design, specifically S3 and EC2 Strong hands-on skills in Infrastructure-as-Code, especially with Terraform. Experience with Ansible for configuration management. Solid understanding of Linux systems - specifically Ubuntu Knowledge of containerisation More ❯

Excellent knowledge of Kubeflow and similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to More ❯

Excellent knowledge of Kubeflow and similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to More ❯

Excellent knowledge of Kubeflow and similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to More ❯

maintain end-to-end data flow diagrams, logical data models, and entity relationship diagrams (ERDs). Design scalable, secure, and robust data architectures on AWS, incorporating services such as S3, Glue, Redshift, RDS, and Lambda. Work with stakeholders to understand business and data requirements and translate them into architectural blueprints. Ensure data architecture complies with government standards for security More ❯

Kubernetes clusters Implement and maintain ML Ops pipelines using Kubeflow and similar tools (e.g., MLflow) Develop scripts and tooling in Python; manage Linux system configurations Leverage AWS infrastructure (Cognito, S3, EC2, Lambda, etc.) Integrate ML toolkits (e.g., PyTorch, Lightning) into ML Ops workflows Design and deploy robust ML Ops solutions across various technologies Contribute to the technical strategy and … Solid experience managing on-premise Kubernetes clusters Strong knowledge of Kubeflow or similar ML Ops platforms Proficiency in Python programming, Linux systems, and scripting Experience with AWS services (Cognito, S3, EC2, Lambda, etc.) Familiarity with ML frameworks such as PyTorch or Lightning, and understanding their role in ML Ops pipelines Ability to design and implement comprehensive ML Ops solutions More ❯

Kubernetes clusters Implement and maintain ML Ops pipelines using Kubeflow and similar tools (e.g., MLflow) Develop scripts and tooling in Python; manage Linux system configurations Leverage AWS infrastructure (Cognito, S3, EC2, Lambda, etc.) Integrate ML toolkits (e.g., PyTorch, Lightning) into ML Ops workflows Design and deploy robust ML Ops solutions across various technologies Contribute to the technical strategy and … Solid experience managing on-premise Kubernetes clusters Strong knowledge of Kubeflow or similar ML Ops platforms Proficiency in Python programming, Linux systems, and scripting Experience with AWS services (Cognito, S3, EC2, Lambda, etc.) Familiarity with ML frameworks such as PyTorch or Lightning, and understanding their role in ML Ops pipelines Ability to design and implement comprehensive ML Ops solutions More ❯