10 of 10 Amazon S3 Jobs in Leicestershire

standards and regulations. Preferred Experience Bachelor's in Computer Science, IT, or related field; advanced degrees a plus. Experience as a Full Stack Developer with AWS cloud services (EC2, S3, Lambda, RDS, DynamoDB). Proficiency in front-end (HTML, CSS, JavaScript, React/Angular) and back-end (Java, Python, Node.js). Understanding of RESTful APIs, microservices, version control (Git More ❯

You’ll Bring Extensive experience in our modern technology stack which includes React, Node.js and Typescript Experience with the AWS services such as Amazon Cognito, DynamoDB Lambda, S3, Eventbridge, AppSync, API Gateway and SQS Experience using Serverless stack to build and deploy serverless applications into AWS cloud Exceptional communication skills within the team and across technical and More ❯

ongoing management. Collaborate with internal and client-side stakeholders. Proven experience as an AWS Solutions Architect (5+ years preferred). Deep expertise in AWS services: VPC, EC2, RDS, IAM, S3, Lambda, Route53, CloudFormation, etc. Proficiency in Infrastructure as Code (IaC) tools: Terraform, CloudFormation. Strong understanding of networking, security best practices, and cloud governance. Experience with DevOps tools and CI More ❯

with developers, architects, and DevOps teams to ensure our data infrastructure aligns with business needs and industry standards. Your Responsibilities Manage, configure and optimise PostgreSQL databases hosted on Amazon Aurora and Oracle databases hosted on on-premise Exadatas and AWS RDS. Support the migration of high-performance, mission-critical databases from on-premise Exadata's to AWS Aurora … strategies, and a strong understanding of Postgres' vacuum/MVCC process. Proven experience with query optimization and database performance tuning. Hands-on experience with AWS services such as EC2, S3, VPC, and IAM. Solid understanding of database security principles and compliance frameworks Experience implementing robust backup and recovery strategies. Proficiency with infrastructure automation tools like Terraform or CloudFormation. Familiarity More ❯

and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack More ❯

and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack 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 ❯

SQL, both Athena and MSSQL A good understanding of methods for data manipulation, analysis, and automation tasks. Experience with Microsoft SSIS ETL pipelines. Experience with AWS tools such as S3, Glue, Redshift, Lambda, and Athena for building scalable data pipelines and architectures. Experience in developing dashboards and reports using MicroStrategy and\or Amazon QuickSight or similar. Strong More ❯

Cloud Data Migration Engineer you will have the following: Proven experience in data migration or infrastructure engineering, preferably in global or enterprise-scale AWS environments. Strong knowledge of AWS S3, Snowball, Storage Gateway, and relevant ingestion tools and services. Understanding of Terraform (AFT), CI/CD pipelines, and infrastructure as code in a DevOps context. Experience working with monitoring More ❯

extraction, transformation, and loading (ETL) processes Proficiency in SSH and managing/troubleshooting virtual machine environments Familiarity with orchestration tools such as Apache Airflow Experience with AWS services (e.g., S3, EC2, RDS) Understanding of cloud-based environments (Google Cloud Platform experience a plus) Ability to collaborate across infrastructure, data engineering, and business teams Experience supporting pharmaceutical or life sciences More ❯