Django + Python Engineer
Description For Django + Python Engineer
Pearl Talent is seeking a Senior Full-Stack Engineer to lead the architecture and implementation of intelligent, scalable web applications. This role combines Django, React, PostgreSQL, and AWS expertise with AI integration. The position offers a unique opportunity to work with top US and EU startups in the PropTech/B2B SaaS space. The ideal candidate will have 5+ years of experience and strong skills in both frontend and backend development. Working remotely with EST hours, you'll be responsible for architecting solutions, mentoring team members, and implementing AI-driven features. The company offers competitive compensation in USD, professional development opportunities, and a strong focus on long-term career growth. Benefits include retention bonuses, annual retreats, and the chance to work with venture-backed startups that have raised over $5B in aggregate. This role combines technical leadership with hands-on development in an environment that values speed, iteration, and execution.
Responsibilities For Django + Python Engineer
- Architect and develop full-stack applications with AI model integration
- Build APIs and backend logic in Django and develop dynamic UIs in React
- Design efficient data models and optimize performance in PostgreSQL
- Deploy and monitor machine learning models in production environments using AWS
- Guide team members, lead code reviews, and enforce best practices
- Be available for collaboration during Eastern Standard Time (EST) hours
Requirements For Django + Python Engineer
- 5+ years of full-stack development experience with Python/Django and React
- Strong experience with PostgreSQL database design and performance tuning
- Practical experience deploying machine learning models in real-world applications
- Proficiency with AWS services for web and AI application deployment
- Ability to work autonomously, mentor junior developers, and contribute to architecture decisions
- Must be able to work EST hours
- Familiarity with MLOps practices and tools
- Experience with Docker, Kubernetes, and CI/CD tooling
- Solid understanding of software scalability, security, and performance optimization
Benefits For Django + Python Engineer
- Annual learning budget for books, courses, and conferences
- Mentorship from startup veterans (ex-Looker, GitHub, Mulesoft)
- Impact on shaping growing brand
- Offices in Berlin, New York, and London, with travel opportunities
- Flat hierarchy with direct access to founders
- Flexible work setup with equipment choice
- Strong home office support
- Retention bonuses at 3, 6, 9, and 12 months
- Annual retreat
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