Fullstack Engineer (Python / React) – AI & Cloud
ARCHIVED
We can't find an active application page for this role right now. It may reopen or be listed elsewhere. Use Next Steps to search for an active apply link and similar live jobs.
Fullstack Engineer (Python / React) – AI & Cloud
Status:
Are you legally eligible to work where you live? We are not able to sponsor VISAs. Resume must be in English
Location: Remote
Engagement: 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 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 PythonSolid 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