About the role
We’re a remote, product-focused startup building AI- and algorithm-driven systems, and we’re looking for a strong Backend Django Engineer who loves clean data models, well-designed APIs, and clever algorithms.
You’ll own core backend features end-to-end: from modeling the data to implementing the logic and exposing it through fast, reliable services that ship to users quickly, working with a small distributed team across several countries.
💰 $100 bonus: After successfully completing the assessment. To receive the assessment,
please submit your resume to this job application. If your resume is approved, you'll receive the
assessment afterwards.
What You’ll Do
Design and implement backend servicesand APIs using Python+ Django (and DRF or similar).
Model and evolve our domain in the database with clean, well-structured schemas and relationships.
Implement algorithmic/AI logicin the backend (e.g., scoring, ranking, routing, decision rules).
Write pragmatic, production-ready code that’s easy to reason about and iterate on.
Optimize for correctness and performance: efficient queries, smart indexing, and lean responses.
Work with the team to turn product ideas into concrete technical designs and endpoints.
Help shape how we build things: patterns, conventions, and how we ship and iterate as we grow.
What We’re Looking For
Strong experience building backend applications with Python + Django.
Solid understanding of relational data modeling and SQL (we use PostgreSQL).
Comfortable designing and building RESTful APIs (bonus if you’ve used DRF or similarframeworks).
Experience working onnon-trivial business logic or algorithms (e.g., decision flows,scoring rules, optimization logic).
Good instincts aroundperformance: understanding query behavior, avoiding obviouspitfalls, and using caching when it counts.
Astartup mindset: comfortable with ambiguity, moving fast, and iterating based on real-world feedback.
Ability to workindependently in a remote environment and communicate clearly.
Bonus Points For
Experience in startups, side projects, or hackathons where you’ve had to ship scrappy solutions fast.
Background inalgorithms, optimization, or data-heavy systems.
Experience with Google Cloud Platform (GCP) in production.
Familiarity with Redis (caching, queues) and PostgreSQL at some scale.
Exposure to containers and orchestration (Docker, Kubernetes) and/or serverless on GCP.
This role is a central piece of our backend roadmap, and we’re aiming to fill it quickly once we meet the right person. If it resonates with you, go ahead and apply now.
Send us your resume to start the assessment process (and get a chance at the $100 bonus).
Originally posted on Himalayas