Cloud Technology Expert

Job Summary :

This position plays a pivotal role in the development of leading SaaS products for energy power market intelligence. With expertise in microservices, APIs, AI/ML integration, and cloud technologies, you will be instrumental in driving the evolution of our software applications.

Key Responsibilities :

• Design, develop, and maintain scalable web applications using modern frontend and backend technologies.
• Lead the revamping of legacy applications, ensuring modernization, improved performance, and UX.
• Create and manage microservices architecture, including API design, development, and integration.
• Collaborate with data scientists to integrate AI/ML capabilities into web user interfaces for predictive analytics and data-driven insights.
• Integrate SQL and NoSQL databases, optimizing data storage and retrieval for efficient application performance.
• Work with cloud platforms such as Azure or other relevant providers to deploy, monitor, and manage applications.
• Implement DevOps practices for CI/CD, and automated testing.
• Collaborate with UX/UI designers to create visually appealing and user-friendly interfaces.
• Troubleshoot and debug issues, identifying root causes and implementing effective solutions.
• Keep up-to-date with industry trends and emerging technologies to drive innovation in application development.
• Teams onboarding and training junior development staff
• Other duties as assigned

Performance Metrics :

1. Sustain and maintain an acceptable pace of development according to sprint plans, and backlog items, as per direction by product manager and owner.
2. Deliverables Quality : Ensure quality of deliverables to support growth initiatives.
3. Application Performance : Measure its responsiveness and efficiency in real-world usage.
4. Legacy Application Modernization : Track the progress of legacy application revamping and performance improvements.
5. AIAccessibilityIntegration Success : Monitor the successful integration of AI/ML capabilities into web interfaces.
6. Microservices Architecture : Measure the efficiency and scalability of the microservices architecture.
7. DevOps Efficiency : Measure the effectiveness of CI/CD pipelines and automated testing in the development process.

Requirements :

1. Strong problem-solving skills and ability to troubleshoot and debug complex issues.
2. Strong organizational skills and ability to manage multiple projects and priorities.
3. Adaptability to evolving technology landscapes and industry trends.
4. Excellent collaboration and verbal/written communication skills, with the ability to work effectively in cross-functional teams.
5. Experience working with Snowflake, Data bricks, or other data lake technologies.
6. Utilizing, extending, and integrating business intelligence tools like Grafana.
7. Integrating with iPaaS (Integration Platforms as a Service).
8. Leveraging graphs for modeling data and organizing metadata, semantics.

Qualifications :

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Proven experience as a Full Stack Developer with expertise in either frontend or backend development, or both.
• Strong proficiency in web development technologies, including HTML, CSS, JavaScript, and modern frontend frameworks (e.g., React, Angular, Vue). Deep knowledge of .NET languages and servers.
• Experience in designing and implementing microservices architecture, RESTful APIs, and integration patterns.
• Proficiency in both SQL and NoSQL databases and their integration into applications.
• Experience administrating and integrating with cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Previous experience in successfully revamping and modernizing legacy applications.
• Experience with Agile methodologies and participation in sprint planning and review meetings.
• Familiarity with integrating AI/ML capabilities into web user interfaces for data visualization and insights.
• Knowledge of DevOps practices, CI/CD pipelines, and automated testing.
• Familiarity with MLOps methodologies and best practices.