FullStack Engineer | Python & Django
Job Booster India
Location
🇮🇳 Hyderabad, India
Type
full_time
Salary
Undisclosed
Posted
2w ago
Job Description
Key responsibilities
: Full Stack Development • Build and ship scalable web applications using Django (backend) and React (frontend) • Write clean, well-tested code and conduct thorough code reviews • Deliver features end-to-end with guidance — from implementation through deployment and support Backend Development • Design and maintain clean, well-documented APIs using Python and Django • Design efficient data models and write performant queries • Implement complex business logic with a strong eye for data integrity and edge cases Frontend Development • Build responsive, accessible UIs using React • Contribute to component design, state management, and reusability with support from the team System Integration • Integrate with third-party services and internal APIs cleanly and reliably • Work closely with product and design to align on outcomes and deliver the right solution, not only the initial request Performance & Optimisation • Identify and fix performance bottlenecks across the stack • Maintain production health through monitoring, alerting, and timely incident response Core Engineering • Proficiency in Python • Hands-on experience with Django (or similar backend frameworks) • Hands-on experience with React • Experience designing, building, and consuming RESTful APIs • System design fundamentals (scalability basics, caching, and async concepts) • Knowledge of background jobs/queues & scheduling (e.g., Celery, Celery Beat/cron) and long-running workflows • Reliability patterns: retries, idempotency, DLQ/dead-lettering Frontend • Strong knowledge of JavaScript (ES6+), HTML, and CSS • Comfortable with modern frontend tooling and testing frameworks • Good understanding of responsive design and accessibility Backend & Databases • Experience with relational databases (e.g. PostgreSQL, MySQL) • Understanding of ORM frameworks (Django ORM preferred) • Experience designing efficient data models and writing performant queries Cloud & DevOps • Familiarity with cloud platforms (GCP, AWS, or Azure) • Experience with CI/CD pipelines and Git-based workflows