Key Responsibilities
AI-Powered Solution Development
- Design, develop, and deploy AI-powered automation solutions for IT operations
- Integrate machine learning and Generative AI capabilities into search and automation workflows
- Collaborate with AI and data teams to design, train, and deploy ML models
Backend & API Development
- Build and maintain scalable APIs and microservices using Python frameworks such as Flask, FastAPI, or Django
- Design RESTful APIs and support seamless system integrations
- Ensure application performance, scalability, and security best practices
Cloud & DevOps Implementation
- Develop and deploy applications on Google Cloud Platform (GCP)
- Implement CI/CD pipelines for automated testing and deployment
- Containerize applications using Docker
- Manage infrastructure as code using Terraform
Automation & Optimization
- Identify opportunities to optimize IT processes through AI-driven automation
- Contribute to AIOps and ITSM automation initiatives
- Continuously improve development workflows and engineering efficiency
Documentation & Quality Assurance
- Maintain clear technical documentation for APIs, services, and deployments
- Ensure maintainability, observability, and monitoring of developed solutions
