Responsibilities:

• Design, develop, and deploy applications on AWS infrastructure, following best practices and security guidelines. Potentially extend these services to other public cloud service providers
• Use containerization and orchestration tools like Docker and Kubernetes to quickly deploy and maintain applications on clustersUse Infrastructure-as-Code (IaC) tools like Terraform or Cloud
• Formation for automated infrastructure provisioning and managementConfigure and manage AWS infrastructure services, including EC2, S3, EBS, EFS, EKS, and Lambda
• Monitor and troubleshoot AWS resources to ensure optimal performance and availability
• Collaborate with developers to define and implement cloud infrastructure strategies for applicationsImplement continuous integration and continuous delivery (CI/CD) pipelines for efficient application deployments
• Deliver and maintain applications for customer accounts via a virtual private cloud (VPC) on AWSDesign, develop, deploy, and maintain spend aggregation and billing strategies for different applications
• Integrate custom applications that manage and configure customer AWS instances based on specific needs
• Automate routine tasks and implement monitoring solutions for proactive issue identification and resolution
• Communicate effectively with customers to understand their requirements and ensure successful application deployments
• Stay up-to-date with the latest advancements in cloud technologies and best practices

Qualifications:

• 4+ years of experience as a Cloud Engineer, Cloud DevOps, or similar role using AWS infrastructure services
• Proven experience with AWS deployments and architectures, including VPC, security, authentication, and billing practices
• 4+ programming experience with Python and shell scripting like Bash4+ years deploying production applications with Docker and Kubernetes
• Familiarity with IaC tools like Terraform or CloudFormationUnderstanding of CI/CD methodologies and tools
• Basic experience with version control systems (e.g., Git) and collaborative development workflows
• Excellent communication and collaboration skills
• Ability to work independently and as part of a team
• Strong problem-solving and analytical skills
• A passion for learning and staying updated with the latest cloud technologies

Nice to have:

• AWS certifications (e.g. AWS Certified Solutions Architect - Associate)
• Kubernetes certifications (eg. CKA - Certified Kubernetes Administrator)
• Demonstrated experience deploying Deep Learning tools like PyTorch or TensorFlow on GPU clusters in production
• Knowledge of tools like MLFlow or similar
• Knowledge of equivalent infrastructure services on other public cloud providers