Sr Full-stack Developer (Python & React)

Job highlights

• comfort with data modeling for large-scale / analytical datasets . Good understanding of REST APIs,microservices,and modern web application architecture .
• Solid experience with PostgreSQL or other relational databases
• Experience working in Agile teams . English: Upper-Intermediate or higher . Nice to have

Project: our project is a premier, cloud-based big data analytics platform that serves as the technology backbone of the Company's commercial operations. It combines proprietary IP, prescriptive analytics engines, role-specific digital workbenches, and real-time decisioning capabilities to help enterprise clients drive pricing precision, commercial excellence, and sustainable revenue growth. The platform processes large volumes of transactional and market data to power pricing, deal-scoring, and promotional-optimization engines, exposes this intelligence through purpose-built web workbenches, and integrates natively with clients' ERP, CRM, and CPQ ecosystems.

The team is actively embedding GenAI and agentic capabilities - automated data structuring, natural-language insight generation, and AI-assisted decision workflows - into the core product, alongside building modular, rapidly-deployable configurations for mid-market clients.

Responsibilities and tasks

• Design, build, and maintain full-stack features across a Python-based backend and a React front-end for high-throughput analytics workbenches
• Develop and optimize REST APIs and services that process large, complex commercial/transactional datasets
• Contribute to data model design and query performance for pricing, deal, and promotional-analytics use cases
• Collaborate with data science/ML engineers to integrate predictive and prescriptive models (pricing optimization, deal scoring, product matching) into production workflows
• Help embed GenAI/agentic capabilities (e.g., automated data enrichment, natural-language insight agents) into the product
• Build and support integrations with external CRM, ERP, and CPQ systems
• Participate in architecture discussions, code reviews, and technical decision-making within an Agile team
• Write clean, tested, maintainable code and contribute to CI/CD practices
• Troubleshoot and resolve issues across the full stack in a distributed, cross-functional team

Qualifications

• 8+ years of experience as a Full-Stack Engineer
• 5+ years of recent hands-on experience with Python (Django/Flask/FastAPI or similar)
• 2-3+ years of recent hands-on experience with React (hooks, component architecture, state management)
• Solid experience with PostgreSQL or other relational databases; comfort with data modeling for large-scale/analytical datasets
• Good understanding of REST APIs, microservices, and modern web application architecture
• Practical knowledge of Agentic AI / GenAI tools and how to apply them in product features (not just as a coding aid)
• Experience working in Agile teams
• English: Upper-Intermediate or higher

Nice to have

• Experience with cloud platforms (AWS/Azure/GCP) and SaaS/hybrid deployment models
• Exposure to data pipelines/ETL, data lake architectures, or big data tooling (Spark, Airflow, Kafka)
• Experience integrating with or building for CRM/ERP/CPQ systems
• Background in pricing, commercial analytics, or B2B/B2C revenue-management domains
• Familiarity with Angular (useful for cross-team collaboration on adjacent modules)

Soft Skills

• Strong self-management: ability to work independently and meet deadlines
• Proactive and ownership-driven mindset
• Effective and clear communication, including in distributed teams
• Collaborative, open to feedback, and focused on shared goals
• Strong problem-solving skills, especially in ambiguous contexts typical of evolving enterprise platforms
• High attention to detail and code quality
• Adaptability to shifting priorities and new technologies

Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.