Required/Minimum Qualifications:
- Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
- 3+ years of experience in customer-facing IT project delivery .
- 7+ years of experience in software development/support.
- Deep understanding of Cloud Infrastructure, Cloud Native solutions, Database and Security.
- Familiarity with at least one development language (e.g., Python, Java, Go, C#, JavaScript, vue).
- Problem Solving. Ability to solve customer problems through cloud technologies required
Additional or Preferred Qualifications:
- Master’s degree in computer science, Information Technology, Engineering, or a related field.
- 12+ years of experience in cloud/infrastructure technologies, software development/support, Database management or artificial intelligence.
- 6+ years of experience in customer-facing IT project delivery.
- 6+ years of experience leading technical projects.
- Proficiency in multiple development languages (e.g., Python, Java, Go, C#, JavaScript, vue).
- Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google Cloud, Alibaba Cloud, Tencent Cloud, security certifications).
Tech Skill Key Words (Optional, The more familiar entries, the better.)
-Essential Skills:
- Application Development : Proficiency in modern application development practices and frameworks like Spring Boot.
- Containers : Experience with containerization technologies such as Docker and Kubernetes.
- DevOps : Strong understanding of DevOps practices and tools, including CI/CD pipelines, infrastructure as code, and automated testing.
- Microservices : Expertise in designing and implementing microservices architectures.
- Cloud Native : Familiarity with cloud-native development practices and tools.
- Serverless : Experience with serverless computing platforms such as Azure Functions and AWS Lambda.
- Low Code : Knowledge of low-code development platforms like Microsoft PowerApps.
-Preferred Skills:
- AI : Proficiency in AI technologies and frameworks, including machine learning, natural language processing, and large language model.