Deskripsi Pekerjaan
Join ScienTec Consulting as a Cloud Solutions Engineer and drive innovation in cloud-native development. In this role, you'll design and implement scalable, secure architectures on AWS while leveraging Python to automate infrastructure and development workflows. You'll collaborate with cross-functional teams to optimize cloud resources, ensure high availability, and accelerate deployment cycles. The position offers hands-on experience with cutting-edge technologies and the opportunity to shape cloud transformation initiatives for enterprise clients.
As a key technical contributor, you'll troubleshoot complex cloud environments, implement CI/CD pipelines, and maintain robust monitoring solutions. This role is ideal for engineers passionate about bridging the gap between development operations and cloud infrastructure, with a focus on automation and efficiency. You'll work in a dynamic environment where your expertise directly impacts business scalability and digital transformation goals.
Tanggung Jawab
- Design and deploy scalable, fault-tolerant cloud architectures on AWS
- Develop Python-based automation scripts for infrastructure provisioning and management
- Implement CI/CD pipelines using AWS services (CodePipeline, CodeBuild)
- Optimize cloud resources for cost-efficiency and performance
- Collaborate with DevOps teams on containerization solutions (Docker, Kubernetes)
- Implement monitoring and logging solutions (CloudWatch, ELK Stack)
- Ensure security compliance through AWS security best practices
- Troubleshoot and resolve cloud infrastructure issues
Kualifikasi
- 3+ years of experience in cloud engineering with AWS
- Proficiency in Python for automation and scripting
- Strong understanding of cloud-native architectures and microservices
- Experience with infrastructure-as-code tools (Terraform, CloudFormation)
- Knowledge of CI/CD methodologies and tools
- Familiarity with Linux administration and networking fundamentals
- Certifications in AWS (Solutions Architect, DevOps Engineer) preferred
- Experience with container orchestration (Docker, Kubernetes)