Overview
Skills
Job Details
Job Description
Must Have Qualifications: AWS Cloud engineering is required, some AI/ML technologies-set up and knowledge, operation and engineering scripting, Python development.
Key Responsibilities:
- Design and implement cloud solutions that drive simplification and automation, enhancing the overall customer experience.
- Collaborate with product owners to develop and maintain templates, pipelines, and other necessary components.
- Work closely with cross-functional teams including security, platform, and network to ensure cohesive strategy execution.
- Monitor and optimize cloud infrastructure to ensure maximum performance and cost-efficiency.
- Lead initiatives to integrate Generative AI capabilities into cloud solutions, enhancing the value proposition for customers.
- Stay abreast of industry trends and emerging technologies to continuously improve cloud strategies and solutions.
Skillset Matrix:
| Skill Category | Required Skills | Proficiency Level |
| Cloud Architecture | Design and implementation of cloud infrastructure solutions | Expert |
|
| Experience with cloud platforms (AWS, Azure, Google Cloud) | Advanced |
|
| Infrastructure as Code (IaC) using tools like Terraform or CloudFormation | Advanced |
| Automation | Development of CI/CD pipelines | Advanced |
|
| Scripting and automation using Python, Bash, or similar languages | Advanced |
|
| Understanding of container creation, usage and management | Advanced |
| Security | Cloud security best practices | Intermediate |
|
| Collaboration with security teams to ensure compliance | Intermediate |
| Networking | Understanding of cloud networking concepts | Intermediate |
|
| Collaboration with network teams for strategic alignment | Intermediate |
| AI Integration | Experience with integrating AI/ML capabilities into cloud solutions | Intermediate |
|
| Understanding of Generative AI concepts and applications | Intermediate |
| Collaboration | Strong communication skills for cross-functional teamwork | Advanced |
|
| Ability to partner with vendors and stakeholders to maintain strategic alignment | Advanced |
| Problem Solving | Analytical skills to identify and resolve complex cloud-related issues | Advanced |
|
| Innovative thinking to enhance customer outcomes | Advanced |
Qualifications:
- Proven experience in cloud engineering or architecture roles.
- Strong understanding of cloud platforms and services.
- Experience with AI/ML technologies is a plus.
- Excellent communication and collaboration skills.
The Cloud Experience Engineer will play a pivotal role in driving the success of cloud adoption strategies, ensuring seamless integration of AI capabilities, and enhancing the overall customer experience.