1 to 25 of 160 Remote Amazon S3 Jobs in the UK

high-impact SaaS environment. Key Responsibilities: Lead the design, architecture, and scaling of the core SaaS platform, hosted on AWS Manage full DevOps lifecycle – AWS (Lambda, EC2, RDS, DynamoDB, S3, Amplify), CI/CD pipelines (GitHub Actions, Jenkins), and infrastructure as code (Terraform) Shape microservices and serverless architecture using Docker, Kubernetes, and containerization best practices Guide backend (Python, Node.js … Ideal Candidate Profile: 6+ years of software engineering experience, with a track record of technical leadership and architecture ownership Expert knowledge of AWS services including Lambda, RDS, DynamoDB, EC2, S3, and Amplify Proficient in backend technologies : Python and Node.js Solid experience in frontend frameworks : React and TypeScript Skilled in CI/CD automation using GitHub Actions, Jenkins, and Terraform More ❯

Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language Proficient in More ❯

Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language Proficient in More ❯

Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language Proficient in More ❯

Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language Proficient in More ❯

Jenkins, AWS (CodePipeline, CodeBuild, CodeDeploy, CodeArtifact) Secrets Management: AWS Secrets manager, secrets server Cloud & Containers: IAM, Lambda, EC2, ASGs/Launch Templates, AWS WAF, CloudFront, API GW, AWS Organizations, S3, ECS, EKS, Route 53, ELBs, OpenShift, Kubernetes, Docker Languages: TypeScript, Python Security & Scanning: AWS Guardrails, Checkov, Prisma Cloud, OSV Scanner, SonarQube, Renovate Observability & Logging: CloudWatch, OpenSearch Operating System Management More ❯

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 ❯

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 ❯

Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language Proficient in More ❯

development and QA teams to improve deployment workflows. Ensure compliance with security policies and cloud best practices. Document infrastructure and DevOps processes. Tech Stack: AWS Services: EC2, ECS, EKS, S3, RDS, CloudWatch, VPC, IAM, Route 53, Lambda Infrastructure as Code: Terraform (primary), CloudFormation (optional) CI/CD Tools: Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline/CodeBuild More ❯

network security protocols Experience with AWS Experience with monitoring tools like InfluxDB, Prometheus, Grafana Experience working in a managed service environment Experience with cloud hosting services (AWS EC2, RDS, S3, Lambda) Experience with event-driven messaging systems (RabbitMQ or similar AMQP) Knowledge of cross domain principles & technologies Industry experience coding in Java, Go, Python, or similar Benefits of Joining More ❯

monitoring tools such as InfluxDB, Prometheus or Grafana Experience of working in a managed service environment Experience using, developing with and maintaining cloud hosting services (ideally AWS EC2, RDS, S3, Lambda) Experience of event-driven integration with MQ messaging (RabbitMQ or similar AMQP solution) Knowledge of cross domain principles & technologies Industry experience writing well-tested code in one of More ❯

design AI-powered agent solutions that integrate with enterprise systems and cloud platforms. Develop and optimize RESTful and GraphQL APIs to facilitate AI-driven interactions. Utilize AWS services (Lambda, S3, API Gateway, SageMaker, DynamoDB, ECS, etc.) to deploy scalable AI solutions. Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js, etc.) applications to support AI-driven interfaces. Work closely More ❯

engineering . You should have: ? Deep experience in .NET development (C#, ASP.NET, .NET Core). ? AWS cloud expertise hands-on with services like Lambda, ECS, API Gateway, RDS, DynamoDB, S3, IAM, and more. ? Strong SQL and NoSQL database experience. ? A background in event-driven architectures (Kafka, SNS, SQS). ? Hands-on experience with containerisation (Docker, Kubernetes) . ? Strong knowledge More ❯

the ability to analyze complex systems and design efficient solutions. Technical Skills AWS Certification (e.g., AWS Certified Solutions Architect - Associate/Professional) is a plus. AWS Cloud Services: EC2, S3, Lambda, RDS, CloudWatch, CloudTrail, etc. Networking Tools: AWS Direct Connect, Transit Gateway, Route 53, and other relevant tools. Security Best Practices: IAM, MFA, data encryption, firewall configurations. Programming/ More ❯

databases and SQL Linux command line, administration and shell scripting Working knowledge of network security protocols Experience using, developing with and maintaining cloud hosting services (ideally AWS EC2, RDS, S3, Lambda) Industry experience writing well-tested code in one of our platform languages (Java, Go, Python or similar) Knowledge of cross domain principles & technologies Experience of working in a More ❯

the go-to engineer for: End-to-end data migration architecture ( on-premise to cloud or cloud-to-cloud). Designing scalable and secure systems using AWS services like S3, Lambda, and EKS, EC2, VPC, RDS. Interfacing with both legacy PHP/C# systems and modern .NET cloud-native services. We're also looking for someone with some experience … in Computer Science , Information Systems, or equivalent experience. 7+ years in software or data engineering, with strong recent experience in cloud data migrations. Proficient with MySQL, OOP, AWS (EC2, S3, Lambda). Experience with PHP, C#, .NET Core, React, Python, AWS EKS. Experience working on AI projects ideal! Strong knowledge of Git, CI/CD pipelines, and containerization (Docker More ❯

Java 11 and above Proven experience in designing, developing, and optimizing backend systems for data processing at scale within AWS Hands-on experience with AWS services, such as; ALB, S3, ElastiCache, IAM, CloudWatch, DynamoDb, EKS Knowledge and experience on Kubernetes is advantageous Experience in building scalable, distributed REST/HTTP-based microservices on hybrid cloud environments Experience with high More ❯

the go-to engineer for: End-to-end data migration architecture ( on-premise to cloud or cloud-to-cloud). Designing scalable and secure systems using AWS services like S3, Lambda, and EKS, EC2, VPC, RDS. Interfacing with both legacy PHP/C# systems and modern .NET cloud-native services. We're also looking for someone with some experience … in Computer Science , Information Systems, or equivalent experience. 7+ years in software or data engineering, with strong recent experience in cloud data migrations. Proficient with MySQL, OOP, AWS (EC2, S3, Lambda). Experience with PHP, C#, .NET Core, React, Python, AWS EKS. Experience working on AI projects ideal! Strong knowledge of Git, CI/CD pipelines, and containerization (Docker More ❯

e.g. Jenkins ) Monitoring tools like Grafana , Prometheus , or InfluxDB Event-driven architecture with RabbitMQ or other AMQP tools Strong Linux , scripting, and networking fundamentals Experience with AWS (EC2, RDS, S3, Lambda) Desirables: Coding in Java , Go , Python , or similar Familiarity with cross-domain security principles Previous work in service management or high-availability environments Experience building or using reliability More ❯

equivalent) Monitoring/observability tools: Grafana , Prometheus , or InfluxDB Event-driven messaging: RabbitMQ or similar Strong Linux skills, scripting, and understanding of network security protocols Experience with AWS: EC2, S3, RDS, Lambda Desirable: Experience coding in Python, Java, or Go Exposure to cross-domain solutions Experience in a service management environment Observability best practices and metric-driven reliability improvement More ❯

infrastructure, including monitoring tools such as AWS CloudWatch, New Relic and Zabbix. It will encompass AWS services and technologies particularly related to hosting and scaling applications, such as EC2, S3, Lambda, and IAM, and knowledge of concepts around authentication, security, infrastructure provisioning using Terraform and AWS CloudFormation, containerisation, VPC, security groups, load balancers, and other networking concepts within AWS More ❯

office spaces in London - you can work remotely, hybrid, or in-person. What you'll be working on Design, implement and maintain infrastructure on AWS (EC2, ECS, RDS, Lambda, S3, CloudWatch, etc.) Build and manage CI/CD pipelines for reliable and fast deployments (e.g., GitHub Actions, CodePipeline) Implement infrastructure as code using tools like Terraform or AWS CDK More ❯

or warehouse domains Hands-on experience working with or integrating Blue Yonder (JDA) Dispatcher WMS, ideally the 2022 version Deep knowledge of core AWS services such as Lambda, EC2, S3, RDS, CloudFormation, API Gateway, and IAM Strong grasp of system integration, microservices, containerisation (Docker, ECS/EKS), and event-driven architecture Experience with infrastructure-as-code tools (Terraform, CloudFormation More ❯

culture of continuous learning and development. Requirements Proven experience as an AWS Platform Engineer, with a strong focus on multi-tenanted platforms. Extensive knowledge of AWS services, including EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and more. Strong background in networking, including VPN, DNS, load balancing, and firewall configurations. Demonstrated expertise in security practices, including identity and access management More ❯