1. Assist in designing and implementing cloud-based solutions using Microsoft Azure and AWS
2. Collaborate with cross-functional teams to gather requirements and define project objectives
3. Deploy, configure, and manage cloud infrastructure and services
4. Monitor system performance and security, implementing necessary optimizations and enhancements
5. Troubleshoot and resolve technical issues related to cloud infrastructure and services
6. Stay up-to-date with the latest trends and best practices in cloud computing
Requirements:
1. Bachelor's degree in Computer Science, Engineering, or related field
2. Strong understanding of cloud computing principles and architectures
3. Familiarity with Microsoft Azure and/or AWS services, such as computing, Storage, Networking, and Security
4. Proficiency in at least one programming/scripting language (e.g., Python, PowerShell, Bash)
5. Excellent problem-solving skills and attention to detail
6. Strong communication and teamwork skills
7. Ability to quickly learn new technologies and adapt to changing requirements
8. Relevant certifications (e.g., Microsoft Certified: Azure Administrator Associate, AWS Certified Solutions Architect Associate)
9. Experience with containerization technologies (e.g., Docker, Kubernetes)
10. Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible)
11. Understanding of DevOps principles and practices
Skill(s) required
Amazon Web Services (AWS)Data ScienceMicrosoft AzurePython
Softsensor.ai is the USA and India-based corporation focused on delivering outcomes to clients using data. Our expertise lies in a collection of people, methods, and accelerators to rapidly deploy solutions for our clients. Our principals have significant experience with global leading consulting firms & corporations and delivered large-scale solutions. We are focused on data science and analytics for improving the process and organizational performance. We are working on cutting-edge data science technologies like NLP, CNN, and RNN and applying them in the business context.