Fullstack Engineer

Fullstack Engineer (Python / React) – AI & Cloud

We are building scalable, AI-powered platforms that enable advanced analytics, automation, and intelligent decision-making. We are seeking a strong Full stack Engineer with expertise in Python and React to design and deliver production-grade applications across the full stack. You will work across the entire software lifecycle—from backend services and APIs to modern frontend interfaces—while contributing to AI/ML-enabled systems deployed in cloud-native environments.

Key Responsibilities

• Design and develop scalable backend services using Python (FastAPI, Flask, Django)
• Build and maintain high-quality, reusable frontend applications using React (TypeScript preferred)
• Develop and integrate RESTful APIs and microservices with modern UI layers
• Contribute to AI/ML-driven features by integrating models into production systems
• Implement automated testing (unit, integration, e2e) across frontend and backend
• Develop and deploy applications in cloud environments (Azure preferred)
• Build and maintain CI/CD pipelines (GitHub Actions or similar)
• Implement Infrastructure as Code (Bicep, Terraform, or equivalent)
• Ensure performance, scalability, and reliability of distributed systems
• Collaborate with product, data, and engineering teams in a global environment
• Participate in system design and architectural decisions

Required Qualifications (Must-Have)

• Strong experience building backend systems in Python
• Solid experience with React and modern frontend development (JavaScript/TypeScript, state management)
• Experience building REST APIs and microservices
• Hands-on experience with cloud platforms (Azure preferred; AWS/GCP acceptable)
• Strong understanding of distributed systems and microservices architecture
• Experience with automated testing frameworks (pytest, Jest, or similar)
• Experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)
• Familiarity with Infrastructure as Code (Bicep, Terraform, Pulumi, ARM)
• Experience with SQL and/or NoSQL databases
• Strong collaboration skills in cross-functional and distributed teams

Preferred Qualifications

• Experience integrating or deploying machine learning models into production systems
• Familiarity with deep learning frameworks (PyTorch, TensorFlow)
• Experience with observability tools (logging, monitoring, tracing)
• Exposure to containerization and orchestration (Docker, Kubernetes)
• Strong understanding of secure and scalable system design