15 of 15 Permanent Amazon S3 Jobs in Glasgow

maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild … building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design … DevOps/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in More ❯

to triage and prioritise platform capabilities to deliver business and customer outcomes. AWS Data Product Development: Lead the development of cloud-native data products using AWS services such as S3, Redshift, Glue, Lambda, and DynamoDB, aligning with business needs. Technical Leadership & Advisory: Act as a trusted AWS expert, advising clients on cloud migration, data strategy, and architecture modernization while … the following: Strong technical expertise in AWS – Proven experience in designing and implementing cloud-based data architectures, ETL pipelines, and cloud-native applications, using services such as AWS EC2, S3, Lambda, Glue, Redshift, RDS, IAM, and KMS. Leadership & Stakeholder Management – Ability to engage with C-level executives (CDOs, CTOs, CIOs), lead cross-functional teams, and drive technical strategy in More ❯

for our relational databases and Terraform for our infrastructure as code. Our platform is hosted on wide range of Amazon Web Services including EC2, ECS, Lambda, RDS, S3, DynamoDB and SQS. We also use Amazon Bedrock to build cutting edge generative AI applications, SwiftUI for our native iOS apps and Jetpack Compose for our native More ❯

state-of-the-art equipment, and cutting-edge technology to ensure a safe & healthy work environment Our Tech Stack Our primary tech stack includes .NET (C#) hosted in Amazon AWS and Microsoft Azure. We use MongoDB, MySQL, and SQL Server for our databases. Applications are built in ASP.NET and Angular for web apps, with Java, Swift, and Xamarin … non-relational databases such as MongoDB, DocumentDB, or DynamoDB Experience with Docker and container hosting on AWS ECS or Kubernetes Basic knowledge of Amazon AWS services (EC2, S3, CloudFront, Elastic Beanstalk, DynamoDB) Basic networking troubleshooting skills Experience with tools like Atlassian Jira, GitHub, Azure DevOps, Aha!, New Relic, Sumo Logic #J-18808-Ljbffr More ❯

state-of-the-art equipment, and cutting-edge technology for a safe and healthy work environment Our Tech Stack Our primary tech stack includes .NET (C#) hosted in Amazon AWS and Microsoft Azure. We use MongoDB, MySQL, and SQL Server for our databases. Applications are built in ASP.NET and Angular for web apps, with Java, Swift, and Xamarin … Experience with relational databases: MySQL, SQL Server, Postgres Experience with non-relational databases: MongoDB, DocumentDB, DynamoDB Knowledge of Docker and container hosting: AWS ECS, Kubernetes Basic AWS knowledge: EC2, S3, CloudFront, Elastic Beanstalk, DynamoDB Basic networking troubleshooting skills Experience with tools like Jira, GitHub, Azure DevOps, Aha!, New Relic, Sumo Logic Seniority level Mid-Senior level Employment type Full More ❯

inclusion, and respect Designs, develops, and maintains Java-based applications Collaborates with cross-functional teams to define, design, and ship new features Utilizes AWS services such as EKS, EC2, S3, Lambda, RDS, SQS, SNS, Cloud Watch and others to build scalable applications Implements best practices for cloud computing, including security, scalability, and cost management Required qualifications, capabilities, and skills More ❯

the Software Development Life Cycle, agile methodologies such as CI/CD, Application Resiliency, and Security Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data Security: Good Understanding of security concepts such as More ❯

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Leverage AWS services (e.g., S3, EC2, Athena, Lambda, Glue) to build scalable and secure cloud solutions. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by … with familiarity in working with large-scale data storage solutions. Strong knowledge of AWS, including the ability to design, implement, and manage cloud-based solutions using services such as S3, EC2, Lambda, and Glue. Proficiency in Terraform for infrastructure as code to automate the provisioning and management of cloud resources. Experience in producing technical documentation and/or user More ❯

will also possess skills in one or more of the following areas: 5+ years of experience with system and web application development using Python Familiarity with data backends like S3, RDS, Postgres, Redis, and Elasticsearch Experience with Django Infrastructure as Code tools such as Terraform and Ansible Familiarity with Python data visualization libraries Experience with Typescript and React Experience More ❯

a highly available, distributed products. Cloud native delivery skills following open standards in – Containers As a Service/PaaS/IaaS, AWS CDK, Fargate, Secrets manager, Lambda, ECS, EKS, S3, MongoDB Atlassian, Serverless Functions and data insight solutions. Experience in designing systems for integration and re-use, using frameworks/standards, technologies and design patterns such as API Gateways More ❯

the Architecture Steering Group, helping define and refine best practices, standards and architectural principles. Skills and Experience Significant commercial experience with the following technology: AWS including: CDK, Serverless (Lambda), S3, API Gateway, Cloud Formation, Aurora/Postgres Typescript Modern JavaScript UI frameworks, including React Strong HTML/CSS skills and an awareness of accessibility considerations Testing tools and frameworks More ❯

Application Resiliency, and Security In-depth knowledge of the financial services industry and their IT systems Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data Security: Good Understanding of security concepts such as More ❯

and architectural decisions. What You’ll Bring Experience leading DevOps efforts or teams in a dynamic, fast-paced setting. Strong expertise in AWS services including networking, IAM, EC2, RDS, S3, and container orchestration with EKS. Demonstrated ability to manage production systems, resolve incidents, and implement effective change controls. A pragmatic approach to balancing technical, security, and operational priorities. Bonus More ❯

focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as More ❯