AWS Cloud Engineer

AWS Cloud Expertise: Solid experience with AWS cloud infrastructure, specifically using CDK or CloudFormation templates. Infrastructure Management: Responsible for planning, implementing, and scaling AWS cloud infrastructure. CI/CD Pipelines: Implement and maintain continuous integration/continuous delivery (CI/CD) pipelines for automated infrastructure provisioning. Collaboration: Work closely with architecture and engineering teams to design and implement scalable software services. Data & AI Platforms: Experience designing and building data and AI platform environments on AWS, utilizing services like EMR, EKS, EC2, ELB, RDS, Lambda, API Gateway, Kinesis, S3, DynamoDB, ECS, OpenSearch, and SageMaker. Cloud-Native Applications: Experience building and maintaining cloud-native applications.

Automation Skills: Strong automation skills, particularly with Python. DevOps Tools: Proficiency with DevOps tools such as Docker, GitHub, GitHub Actions, Kubernetes, and SonarQube. Monitoring: Experience with monitoring solutions like CloudWatch, the ELK stack, and Prometheus. Infrastructure as Code (IaC): Understanding and experience writing Infrastructure-as-Code (IaC) using tools like CloudFormation or Terraform. Scripting: Proficient in script development and various scripting languages. Troubleshooting: Experience troubleshooting distributed systems. Communication: Excellent communication and collaboration skills. Key Skills: AWS Services, GitHub, GitHub Actions, Docker, Groovy Script, Python, and TypeScript