1 to 25 of 30 Amazon S3 Jobs in the South West

Connect, VPN, VPC, Security group, NACL, Route 53 Must have in depth AWS development experience (Containerization - Glue, Docker, Amazon EKS, Lambda, EC2, S3, Amazon DocumentDB, PostgreSQL) Strong knowledge of DevOps and CI/CD pipeline (GitHub, Jenkins) Scripting capability and the ability to develop … experience in designing, provisioning, deploying and configurtion of the Cloudera cluster based on customer's need Extensive experience in AWS service - EC2, VPC, ELB, S3, RDS, Lambda, Route 53 etc and should be able to design and deploy cloudera cluster on AWS cloud Strong knowledge of data processing using

tools (Grafana, Prometheus, InfluxDB), and event-driven messaging (RabbitMQ or similar) Confident with Linux, SQL, and network security protocols Familiar with AWS services (EC2, S3, Lambda, RDS) Bonus points if you have: Experience coding in Python, Java, or Go Knowledge of cross-domain technologies or service management environments Hands

experience with CI/CD pipelines using tools like AWS CodePipeline, Azure DevOps, GitHub Actions, or Jenkins. Good knowledge of AWS core services (EC2, S3, RDS, IAM, VPC, Lambda, CloudWatch, etc.). Experience managing multiple AWS accounts with appropriate governance, billing, and security practices. Strong understanding of DevOps principles

experience with CI/CD pipelines using tools like AWS CodePipeline, Azure DevOps, GitHub Actions, or Jenkins. Good knowledge of AWS core services (EC2, S3, RDS, IAM, VPC, Lambda, CloudWatch, etc.). Experience managing multiple AWS accounts with appropriate governance, billing, and security practices. Strong understanding of DevOps principles

experience with CI/CD pipelines using tools like AWS CodePipeline, Azure DevOps, GitHub Actions, or Jenkins. Good knowledge of AWS core services (EC2, S3, RDS, IAM, VPC, Lambda, CloudWatch, etc.). Experience managing multiple AWS accounts with appropriate governance, billing, and security practices. Strong understanding of DevOps principles

Bachelor's degree (or equivalent) in Computer Science or related discipline. Prior experience in a DevOps Engineer role using Azure OR AWS, (EC2, RDS, S3, VPC, CloudFormation) Experience with IaC such as Terraform. A background in containerisation and orchestration technologies such as Docker and Kubernetes. Knowledge with CI/

architecture Understanding of cloud migration challenges and maturing CI/CD pipeline Hands-on experience with AWS services such as EC2, EKS, Fargate, IAM, S3, Lambda Due to the nature of the work, only candidates eligible for eDV clearance will be considered If interested, and you match the above

pipelines for Cloud deployments. Understanding the development challenges moving on-prem workload to cloud. Understanding of AWS Services such as EC2, EKS, Fargate, IAM, S3, Lambda. We would love to hear from you if you have any of the following Qualifications or Certifications: Oracle Java Certification. AWS Certification. ISTQB

pipelines for Cloud deployments. Understanding the development challenges moving on-prem workload to cloud. Understanding of AWS Services such as EC2, EKS, Fargate, IAM, S3, Lambda. We would love to hear from you if you have any of the following Qualifications or Certifications: Oracle Java Certification. AWS Certification. ISTQB

cloud deployments. Knowledge of migrating on-prem workloads to the cloud. Hands-on use of AWS services such as EC2, EKS, Fargate, IAM, S3, and Lambda. If this looks of interest or could potentially be a fit for you or someone you may know, please contact or feel free

Experience in managed service environments Strong Java or similar development background Git version control Strong problem-solving and communication skills Desirable Skills Microservices, AMQP, S3, Oracle Please note: All offers are subject to security screening. Hays is committed to diversity and inclusion and welcomes applications from all backgrounds.

Table You'll be a Senior Full Stack Engineer with experience in DevOps tooling AWS Services; ECS, ECR, API Gateway, ELB, EC2, SSM, S3, Cloud Watch and Document DB Experience in React, Express, Node, Typescript Experience with DevOps tools such as Terraform Very familiar with GitLab CI/

Table You'll be a Senior Full Stack Engineer with experience in DevOps tooling AWS Services; ECS, ECR, API Gateway, ELB, EC2, SSM, S3, Cloud Watch and Document DB Experience in React, Express, Node, Typescript Experience with DevOps tools such as Terraform Very familiar with GitLab CI/

years' professional Python development experience • Strong understanding of API development principles • Hands-on background with ETL pipelines & concurrent processing • Experience working with AWS (ECS, S3, EC2, RDS, CloudWatch) Role details: Bristol - 2/3 days onsite £50k–£60k Work that directly contributes to the transition to clean, sustainable energy

years' professional Python development experience • Strong understanding of API development principles • Hands-on background with ETL pipelines & concurrent processing • Experience working with AWS (ECS, S3, EC2, RDS, CloudWatch) Role details: Bristol - 2/3 days onsite £50k–£60k Work that directly contributes to the transition to clean, sustainable energy

will need to have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/

business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools … cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/

business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools … cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/

business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools … cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/

business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools … cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/

business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools … cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/

include: Developing, testing, and deploying high-quality code primarily using Java and Spring Boot . Designing and implementing cloud-native applications on AWS (Amazon Web Services). Contributing to the front-end development using JavaScript . Collaborating with product managers, designers, and other engineers to define and deliver … Essential Skills: Proven experience as a Java Developer . Strong working knowledge of the Spring Boot framework. Hands-on experience with AWS (e.g., EC2, S3, Lambda, RDS). Familiarity with JavaScript for front-end development. Experience with relational and/or NoSQL databases. Solid understanding of software development principles

government project. The role involves designing, developing, and optimising data queries and analytics solutions using AWS services, with a strong focus on Athena and S3-based data lakes. Key responsibilities: Develop and maintain SQL queries in AWS Athena for large-scale datasets Optimise data retrieval and ensure efficient performance … across AWS environments Collaborate with stakeholders to translate business requirements into actionable insights Work with AWS services such as Glue, Lambda, and S3 for ETL and data processing Ensure compliance with government data security and governance standards Essential skills: Strong proficiency in SQL and AWS Athena Hands-on experience

stack. Manage user accounts, permissions, and access controls. Apply patches, updates, and security baselines in line with compliance standards. Support cloud infrastructure (AWS EC2, S3, IAM, VPC). Implement robust backup and disaster recovery processes. Maintain clear documentation, logs, and inventories. Ensure PCI DSS compliance and assist with incident … years’ Linux systems administration (Red Hat/CentOS). Experience supporting Windows environments. Strong networking knowledge (CCNA-level). Hands-on AWS experience (EC2, S3, IAM, VPC). Understanding of PCI DSS and secure system practices. Scripting and automation skills (Bash, Python, Ansible). Excellent troubleshooting and documentation capabilities.

As Senior Full-Stack Product Engineer, you will work across a Laravel + React (Inertia, TypeScript) stack that is built