1 to 25 of 69 Permanent Amazon S3 Jobs in England with Remote Work Options

Bash or Shell. • Programming Languages: Experience in Python or Go Lang. • AWS Services: Significant hands-on experience with AWS services such as EKS, EC2, S3, IAM, Networks, serverless, Lambda, DynamoDB, Athena, CloudWatch. • CI/CD: Experience with CI/CD platforms and creating CI/CD pipelines. Such as more »

methodologies Relational Databases - MongoDB, SQL AWS Management Console for RDS AWS EC2 Management Console CloudWatch monitoring and alerts AWS storage and RDS engine types S3 Buckets , Load Balancing, Route 53 AWS GuardDuty, AWS Security Hub. This role offers a Remote or Hybrid option. Please note: No sponsorship is provided more »

Prefect) and databases, data lakes and data warehouses. Experience with cloud technologies, particularly AWS Cloud services, with a particular focus on using AWS Glue, S3, RDS and AWS Lambda. Experience in implementing Infrastructure as Code (e.g. AWS Cloud Development Kit (CDK), Terraform, Ansible). Familiarity with container technologies such more »

experience in using it for building robust applications. Proficiency in the Spring framework, including Spring Boot. Hands-on experience with AWS services (e.g., EC2, S3, Lambda, RDS). Strong understanding of software development principles, design patterns, and best practices. Experience working with relational databases such as MySQL or PostgreSQL. more »

Design, develop, and maintain backend services and APIs using Java and Scala. Implement scalable solutions on AWS cloud platform, leveraging services such as EC2, S3, Lambda, and DynamoDB. Utilize the Spring Framework to build and manage application components, including dependency injection, data access, and transaction management. Collaborate with product more »

years' experience as a DevOps or Automation engineer, supporting product development and consistent CI/CD practices Excellent technical knowledge of AWS services, including S3, EC2, RDS etc.. Strong knowledge of EKS/Kubernetes Expert level skills in Terraform and Infrastructure as Code practices Experience of managing multiple environments more »

assistant. Our current tech stack includes but are not limited to: Java 8 MySQL Gradle XML JSON Various AWS services including EC2, RDS and S3 JavaScript HTML CSS JQuery Required Skills & Experience: At least 8 years experience as a software engineer, working with Java-based technologies. At least more »

aspects of services that have potential to impact our customers. What were looking for: Proficient in AWS services, especially API Gateways, AWS Lambdas, DynamoDB, S3, EventBridge, CloudWatch, SNS, SQS, Cognito, AWS Amplify. Skilled in Python programming language in serverless environments like AWS Lambda. Good experience with AWS IaC (CloudFormation more »

on experience as a Security Engineer or related role in an AWS DevOps environment. - Proficiency in AWS services and features, including IAM, VPC, EC2, S3, RDS, Lambda, and CloudFormation. - Strong understanding of security best practices, principles, and frameworks, such as ISO 27001 controls and NIST Guidelines. - Experience in implementing more »

on experience as a Security Engineer or related role in an AWS DevOps environment. Proficiency in AWS services and features, including IAM, VPC, EC2, S3, RDS, Lambda, and CloudFormation. Strong understanding of security best practices, principles, and frameworks, such as ISO 27001 controls and NIST Guidelines. Experience in implementing more »

advanced knowledge of microservices, with experience of designing microservices architecture You have a good knowledge of AWS, including familiarity with AWS Lambda, API Gateway, S3, CloudWatch You have a good knowledge of REST APIs You have strong SQL query writing skills You have experience of working on scalable, distributed more »

advanced knowledge of microservices, with experience of designing microservices architecture You have a good knowledge of AWS, including familiarity with AWS Lambda, API Gateway, S3, CloudWatch You have a good knowledge of REST APIs You have strong SQL query writing skills You have experience of working on scalable, distributed more »

required! Technical Skillset: Knowledge of Cloud environments, including on-premise or SaaS COTS Experience leading/managing DevOps Engineers AWS - ECS, EKS, Fargate, Lambda, S3, IAM, CloudFront, CloudFormation, SQS, SNS Azure - App Services, AKS, VM, Web Apps, ACS, Azure Functions Containerisation/Microservice based architecture Version control solutions - Git more »

on experience as a Security Engineer or related role in an AWS DevOps environment. - Proficiency in AWS services and features, including IAM, VPC, EC2, S3, RDS, Lambda, and CloudFormation. - Strong understanding of security best practices, principles, and frameworks, such as ISO 27001 controls and NIST Guidelines. - Experience in implementing more »

Engineer or related role in an AWS DevOps environment. AWS Control Tower Experience must - Proficiency in AWS services and features, including IAM, VPC, EC2, S3, RDS, Lambda, and CloudFormation. - Strong understanding of security best practices, principles, and frameworks, such as ISO 27001 controls and NIST Guidelines. - Experience in implementing more »

etc) in the Python ecosystem. Have strong experience in DevOps combined with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud more »

/CD. Some experience in system architecture and making technical decisions. Some exposure to AWS (or other cloud platform) and best practices like EC2, S3, auto-scaling, security. Passion for learning and problem solving. At least one of the following: Working on an AI driven product. Used to working more »

AWS CodeCommit/Pipeline/Deploy * Atlassian stack, Azure DevOps/Docker/Kubernetes/Function as a Service deployments * Broader AWS knowledge (e.g. S3, KMS, EKS) * Great attention to detail, organisational skills and a keen analytical mind * Experience with front-end JavaScript frameworks, such as React * Proven delivery more »

a rare opportunity to profoundly influence core IT operations in a unique environment. What you will need to have: Proven capability in AWS (EC2, S3, RDS, IAM, and VPC). Solid practical exposure with Terraform would be very advantageous. Previous experience functioning in Linux/Unix server administration is more »

etc) in the Python ecosystem. Have strong experience in DevOps combined with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud more »

the role. Key Skills Required: Strong Python coding capabilities within a Serverless Environment. Strong skills with AWS products like API Gateways, AWS Lambdas, DynamoDB, S3, EventBridge, CloudWatch, SNS, SQS, Cognito, AWS CloudFront. Strong skills with infrastructure as code with AWS Strong Skills with CI/CD concepts (Ideally Azure more »

the role. Key Skills Required: Strong Python coding capabilities within a Serverless Environment. Strong skills with AWS products like API Gateways, AWS Lambdas, DynamoDB, S3, EventBridge, CloudWatch, SNS, SQS, Cognito, AWS CloudFront. Strong skills with infrastructure as code with AWS Strong Skills with CI/CD concepts (Ideally Azure more »

to the cloud. Skills Proven experience architecting and implementing cloud solutions on the AWS platform. In-depth knowledge of AWS services such as EC2, S3, RDS, Lambda, IAM, and VPC. Strong understanding of cloud security principles and best practices. Experience with infrastructure as code (IaC) tools such as Terraform more »

developing, deploying, and maintaining machine learning models in production environments. AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency more »

developing, deploying, and maintaining machine learning models in production environments. AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency more »