Fullstack Engineer (Python / React) – AI & Cloud

Fullstack Engineer (Python / React) – AI & CloudStatus: Are you legally eligible to work where you live? We are not able to sponsor VISAs.Resume must be in EnglishLocation: RemoteEngagement: Contract, Long Term, Full TimeWe 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 ResponsibilitiesDesign 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 layersContribute to AI/ML-driven features by integrating models into production systemsImplement automated testing (unit, integration, e2e) across frontend and backendDevelop 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 systemsCollaborate with product, data, and engineering teams in a global environmentParticipate in system design and architectural decisionsRequired Qualifications (Must-Have)Strong experience building backend systems in PythonSolid experience with React and modern frontend development (JavaScript/TypeScript, state management)Experience building REST APIs and microservicesHands-on experience with cloud platforms (Azure preferred; AWS/GCP acceptable)Strong understanding of distributed systems and microservices architectureExperience 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 databasesStrong collaboration skills in cross-functional and distributed teamsPreferred QualificationsExperience integrating or deploying machine learning models into production systemsFamiliarity 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