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Mid-level generalist backend role at a funded startup with hybrid work attracts moderate competition.
Backend engineering skills transfer well, but institute and top-company experience requirements increase sensitivity.
Requires tier1/2 engineering degree, top-company experience and specific backend technology stack, so filters are strict.
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Own the design, development, and maintenance of backend systems and products impacting millions of users.
Design and implement solutions for broadly defined problems with emphasis on scalable REST APIs and robust data management.
Collaborate in agile teams to establish architecture and engineering best practices for high-quality AI-driven enterprise software.
2-5 years of backend development experience, preferably including Python and Django.
Bachelor's or Master's degree in Engineering from Tier 1 or Tier 2 institutes.
Strong knowledge of relational databases (PostgreSQL, SQL), REST API design, and object-oriented design principles.
Experience or familiarity with machine learning in NLP context preferred but not mandatory.
Experienced backend engineer comfortable with full product lifecycle and scalable system design in a fast-paced startup environment.
Proficient in Python, Django, database schema design, caching (Redis), task queues (Celery), and cloud technologies (GCP, Kubernetes, Docker).
Able to navigate loosely defined problems to build innovative AI-powered customer engagement solutions with strong CS fundamentals.