Tech Lead (DRF) Fintech Project in Dataforest

Dataforest is Seeking a Tech Lead (DRF) to join an interesting Fintech project. We are building a payment system that helps SME and Private individuals to improve access to financial services like easy account opening, money transfers, and so on. If you are looking for a challenging project, and a friendly, supportive team ‒ you have found the right place to send your CV.As a Tech Lead, you will collaborate with product managers and stakeholders to define proper development processes and meet product expectations. You will develop solution architecture and API development and guide the payment gateway integration process. Skills Requirements:• 4+ years of experience with Python;• 3+ years of experience with Django/DRF and RESTful APIs;• Experience with payment systems integration (as a plus);• Familiarity with PHP/Laravel (as a plus);• Experience with Celery, Kafka (Optional);• Knowledge of cloud solutions: AWS;• Experience in multithreading/multiprocessing approaches;• Proficiency with Docker, Kubernetes, and CI/CD pipelines;• Previous experience in a Team Lead role (Optional);Key responsibilities:• Manage the development process and support team members;• Write clean and well-structured code that is easy to read and maintain;• Participate in decision-making processes related to design architecture, solution development, architectural, and code reviews;• Develop high-load solutions;• Conduct R&D work with new technology;• Maintain high-quality coding standards within the team.We offer:• Great networking opportunities with international clients, challenging tasks;• Building interesting projects from scratch using new technologies;• Personal and professional development opportunities;• Competitive salary fixed in USD;• Paid vacation and sick leaves, medical insurance;• Flexible work schedule;• Friendly working environment with minimal hierarchy;• Team building activities, and corporate events.Про компанію DataforestDataforest - helps companies use data to drive decisions. We apply Data Science techniques combined with expertise in business automation, large-scale data analysis and advanced software engineering to improve performance outcomes for organizations and create added value to their clients and shareholders.