Senior Full Stack Developer - Django and React

The Role: We’re looking for a Senior Full stack Engineer with a strong background in analytics, data pipelines, and marketing automation . You’ll lead the development of data-driven features , enabling enterprises to measure and optimize their digital business card interactions. As part of this role, you’ll help migrate our backend from Flask to Django , ensuring a scalable and well-structured API design. Responsibilities Design and develop analytics and reporting tools , providing insights into user engagement and marketing performance. Build and optimize data pipelines for tracking and processing user interactions. Work closely with co-founders and product leaders to architect new marketing and analytics features . Support the migration from Flask to Django Adapt RESTful APIs to support integrations with CRM, marketing automation, and analytics platforms. Enhance the frontend using React and TypeScript , ensuring intuitive visualization of analytics data. Implement event tracking, attribution models, and A/B testing frameworks . Deploy and monitor applications using AWS (EC2, S3, CloudFormation, ECS) . Ensure data security, compliance, and performance optimization. Requirements: ~4+ years of experience in software engineering, with a focus on backend development. ~ Experience building analytics and marketing tools (e.g., dashboards, tracking systems, attribution models). ~ Strong experience with Django (or Flask) and PostgreSQL . ~ Solid understanding of data pipelines, event tracking, and API integrations . Proficiency in React, TypeScript, and frontend visualization frameworks (e.g., D3.js, Chart.js, Recharts) . Hands-on experience with AWS services (EC2, S3, CloudFormation, ECS). Experience with CI/CD pipelines, DevOps best practices, and monitoring tools . Familiarity with CRM and marketing automation platforms (HubSpot, Salesforce, Iterable, etc.). Bonus Points: Experience with Google Analytics, Mixpanel, Segment, or other event tracking tools . Knowledge of AI/ML models for marketing insights and predictive analytics . Familiarity with Redis, Huey (or Celery) for background task processing . Experience with Stripe, Google Pay for Passes, Apple Wallet, APNS . Perks & Benefits: ~25 days of holiday + bank holidays. ~1 fully paid volunteering day per year. ~ Flexible remote work —work from anywhere or join us in our Marylebone, London office. ~ Personal development budget to support your learning. ~ Regular team outings in central London and abroad. ~ Opportunity for equity reward .