1 to 25 of 234 Amazon S3 Jobs

manages several tool stack, if someone has expertise in more than one of the below, that'd be a great asset - AWS - ECS, EC2, S3, SNS, SQS, MKS, Batch, Lambda, Cognito, SG, RDS, Cert Manager, Route 53, ALB, Param Store, Config, etc. IaC: Terraform - Preferred, CloudFormation CI & CD: GitLab

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

delivery of high-quality, cloud-native applications that are scalable, secure, and resilient. Technical Skills: - Deep understanding of core AWS services, including EC2, S3, RDS, Lambda, VPC, IAM, and CloudFormation. - Experience with serverless architectures and containerization, such as ECS, EKS, and Fargate. - Familiarity with the AWS Well-Architected Framework

excited by the prospect of building and running the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure … customer success, and are committed to improvement. AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWSs services and features apart

disruption during the migration process. AWS Cloud Engineering: Design, architect, and implement cloud-based solutions leveraging AWS services such as EC2, ECS, EKS, Lambda, S3, RDS, and more. Proactively identify and mitigate potential security risks and vulnerabilities within the AWS environment. Manage and maintain cloud infrastructure, including provisioning, scaling

databases . Advanced Linux administration and shell scripting skills. Familiarity with network security protocols . Experience deploying and maintaining systems on AWS (EC2, RDS, S3, Lambda). Desirable Skills Programming experience in Java, Go, or Python . Understanding of cross-domain technologies and security models. Background in service management

scalable, secure, and resilient systems. Key role and responsibilities Build, deploy, and monitor solutions using AWS services (Lambda, API Gateway, CloudWatch, ECS, ECR, Dynamo, S3 etc.) Integrate APIs into CI/CD pipelines using Azure DevOps, Github workflows Lead and execute migration projects from Apigee Edge to Apigee

Design Principles and Design Patterns Cloud platforms (AWS preferable) Python, Java or Typescript Networking: VPN, VPC, ELB - Elastic Beanstalk Compute: EC2, Lambda, AppSync Storage: S3, EBS & Disaster Recovery Data: DynamoDB, RDS, ElastiCache & SQL DevOps: CI/CD - CloudFormation, Github & GitHub Actions Admin & Security: AD Config, CloudWatch Scripting: Bash/

Permanent Required Skills Strong experience in .NET Core/ASP.NET Core (Web APIs, microservices). Expertise in AWS serverless services (Lambda, API Gateway, DynamoDB, S3, etc.). Knowledge of DevOps practices and CI/CD pipelines. Proficiency with Git and automated deployment strategies. Experience with SQL/NoSQL databases

3.1, Node.js, Python, Java/Kotlin * Kubernetes, Terraform, infrastructure-as-code * Typescript, React, Node, GraphQL, Apollo * AWS: Lambda, ECS, CloudFront, API Gateway, DynamoDB, Aurora, S3, SQS, SNS, Kinesis * Azure, Functions * Prometheus, Grafana, Cloudwatch for monitoring * "Elasticsearch, Logstash, Kibana" for logging * Azure DevOps, Gitlab CI, Terraform, GitHub Our principles

with configuration and automation tools such as Puppet, Ansible, Terraform, and Ninja • Solid understanding of AWS services, ideally including EC2, ECS, Lambda, VPC, Route53, S3, RDS, CloudWatch, and CloudFormation • Knowledge of Windows Server Services, including Active Directory, Group Policy, and DNS • Scripting proficiency in Python and Bash • Good understanding

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

Engineer: Design, build and maintain scalable data pipelines and architectures within the AWS ecosystem Leverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storage Work closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutions Implement

/CD pipelines (e.g. Jenkins) Deep understanding of monitoring & observability tools (Grafana, Prometheus, InfluxDB) Solid grounding in Linux, network security, SQL, and AWS (EC2, S3, RDS, Lambda) Comfortable with MQ messaging (RabbitMQ or similar) Bonus points for: Experience with Azure environments Strong coding ability in Python, Java

Design and manage cloud environments (AWS or Azure), using Infrastructure as Code (Terraform, ARM, etc. Comprehensive knowledge of AWS cloud resources including EC2, RDS, S3, IAM. Set up and deploy apps through CI/CD pipelines both on prem & in the cloud using tools like GitHub Actions, Jenkins

role. Experience of deploying & managing cloud infrastructure for Data Solutions Hands-on experience of working with AWS services, including but not limited to EC2, S3, RDS, Lambda, Glue, EMR , VPC, IAM, Redshift, etc. Good experience in setting up reliable cloud networking that is highly secured. Experience of setting

data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/

with configuration and automation tools such as Puppet, Ansible, Terraform, and Ninja * Solid understanding of AWS services, ideally including EC2, ECS, Lambda, VPC, Route53, S3, RDS, CloudWatch, and CloudFormation * Knowledge of Windows Server Services, including Active Directory, Group Policy, and DNS * Scripting proficiency in Python and Bash * Good understanding

align on priorities and ensure value is delivered incrementally. Core Tech Stack Languages: Python (FastAPI, Flask, or Django) Cloud: AWS (Lambda, ECS/Fargate, S3, DynamoDB, CloudWatch, API Gateway) Data & Messaging: PostgreSQL, Redis, Kafka or SQS CI/CD & Infrastructure: Docker, Terraform, GitHub Actions, CloudFormation Monitoring & Observability: Prometheus, Grafana

Hybrid3daysperweekintheoffice) £65,000£80,000perannum+Bonus+ExcellentBenefits WereworkingwithanexcitingentertainmentcompanythatslookingforaPlatformEngineertostrengthentheircloudandinfrastructurecapabilitiesasthebusinessscales. Youlljoinahighlyskilledengineeringteambuildingsecure,resilient,andscalableplatformsthatpowerreal-timefinancialapplications.Withastrongfocusonautomation,reliability,andcompliance,youllhelpshapethenextgenerationoftheirAWS-basedinfrastructureanddevelopertooling. Thisisanopportunitytohaverealtechnicalinfluenceinacloud-nativeenvironment,drivingbestpracticesacrossDevOps,infrastructure,andplatformengineering. TechStack Cloud: AWS(EC2,RDS,S3,IAM,CloudWatch,Lambda) InfrastructureasCode: Terraform Containerisation&Orchestration: Docker,Kubernetes(EKS),Helm ConfigurationManagement: Ansible Monitoring&Observability: Grafana,Prometheus CI/CD: GitHubActions Automation&Scripting: Python

Experience with containerization (Docker) and orchestration (Kubernetes). Working knowledge of Flink, Spark, or Databricks for data processing. Familiarity with AWS services (ECS, EKS, S3, Lambda, etc.). Basic scripting in Python for automation or data manipulation. Secondary Skills Experience with Datadog, Prometheus, or other monitoring tools. Exposure

Software Engineer, with strong expertise in Java or/and JavaScript (React, Angular, or Vue.js). Experience working with AWS services (e.g., Lambda, S3, EC2, RDS, DynamoDB). Familiarity with modern development practices, including Agile methodologies, CI/CD pipelines, and microservices architecture. Solid understanding of RESTful APIs, database

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