13 of 13 Amazon S3 Jobs in Somerset

implementation Proficiency in both MySQL and PostgreSQL databases System Administration & Infrastructure Working knowledge of Linux systems (command line, file permissions, process management) Hands-on experience with AWS services (EC2, S3, RDS, Lambda, etc.) Knowledge of queue systems (SQS, Redis, Beanstalk, or similar) Understanding of load balancing, caching strategies, and CDN implementation Experience with containerization (Docker) and orchestration tools Frontend More ❯

that have worked on either consumer facing or business facing Product platforms, not internal IT infrastructures. Tech You’ll Work With Cloud & Infra: AWS (EC2, ECS, Aurora, RDS, ElastiCache, S3, Route 53, CloudWatch, SQS, Cognito) IaC: Terraform or CloudFormation Containerization: Docker on ECS Monitoring & Security: CloudWatch, Systems Manager, IAM policies, encryption Other Tools: MongoDB Atlas, Google CDN, Bash or More ❯

compliance across multiple environments. Key Requirements 5+ years of experience in DevOps , Site Reliability Engineering , or Data Engineering roles. Deep expertise with AWS and GCP , including services like EC2, S3, Lambda, IAM, GKE, BigQuery, and more. Strong proficiency in infrastructure-as-code tools (e.g., Terraform , Pulumi , CloudFormation ). Extensive hands-on experience with Docker , Kubernetes , and CI/CD More ❯

data from various sources including on-premise and cloud platforms. Develop and optimize data pipelines and data integration processes between on-premises systems and AWS cloud services such as S3, Redshift, RDS, Glue , and Lambda . Collaborate with Data Architects, Data Analysts, and BI developers to understand data requirements and deliver solutions. Ensure data quality, consistency, and governance across … dimensional/star schema), and data integration patterns. Hands-on experience with SQL and relational databases (e.g., Oracle, SQL Server, PostgreSQL). Familiarity with AWS data services such as S3, Redshift, Glue, EMR, Lambda, or RDS . Knowledge of scripting languages (e.g., Python, Shell) for automation and orchestration. Experience working in Agile environments and using tools such as JIRA More ❯

engineering manager, a product manager and 3-5 engineers with tailored skillsets to the specific domain. Our current technology stack is AWS serverless products ( Lambda , SQS , EventBridge , API Gateway , S3 ) running Typescript on the compute layer and backed by MongoDB for the database layer. We have some C# services and are expanding out into other AWS products such as … are comfortable debugging through tracing and observability. Willing to be on-call for your services. Nice to have Have experience with Node.js , specifically Typescript . Have experience with Amazon Web Services . Have experience with serverless products. Have experience with document databases, specifically MongoDB . Have experience mentoring/managing. Have experience in a build-and-run model. 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 ❯

high-frequency trading. ? What You'll Be Doing: Owning and scaling cloud infrastructure in high-performance computing environments Deploying with Terraform and optimising AWS services (IAM, EC2, ECS, EKS, S3, MSK, Lambda, etc.) Building and managing CI/CD pipelines with GitLab and GitHub Actions Containerising with Docker and applying best practices for security and performance Monitoring and alerting More ❯

development, deployment, and maintenance of MES’s core web-based platform, built primarily using Node.js, React.js, and PostgreSQL. Architect and oversee scalable cloud infrastructure using AWS (including EC2, RDS, S3, IAM, etc.). Spearhead the design and integration of AI-powered features into the MES platform, including automation, data analysis, document processing, and user-facing tools. Define and execute More ❯

development, deployment, and maintenance of MES’s core web-based platform, built primarily using Node.js, React.js, and PostgreSQL. Architect and oversee scalable cloud infrastructure using AWS (including EC2, RDS, S3, IAM, etc.). Spearhead the design and integration of AI-powered features into the MES platform, including automation, data analysis, document processing, and user-facing tools. Define and execute More ❯

e.g., Lead Developer, Head of Development, Technical Director). Strong awareness of current and emerging technology trends. Hands-on experience with cloud-based infrastructure, particularly AWS (e.g., EC2, RDS, S3, Lambda, ElastiCache). Proficiency with backend technologies including PHP, MySQL, Laravel, and Redis. Comfortable working within agile development environments. Strong understanding of budgeting, resource allocation, and business planning. Skilled 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 ❯

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 ❯