via Indeed
$70K - 120K a year
Design and implement backend services and APIs using Python and Django, model data, implement algorithmic logic, and optimize performance in a remote startup environment.
Strong Python and Django backend experience, relational data modeling with SQL, RESTful API design, algorithmic business logic, and ability to work independently in a remote setting.
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 a second assessment. To receive the first assessment, please submit your resume to this job application. If your resume is approved, you’ll receive the assessments 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 logic in 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 ofrelational data modelingandSQL(we use PostgreSQL). • Comfortable designing and buildingRESTful APIs(bonus if you’ve used DRF or similar frameworks). • Experience working onnon-trivial business logic or algorithms(e.g., decision flows, scoring rules, optimization logic). • Good instincts aroundperformance: understanding query behavior, avoiding obvious pitfalls, 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 environmentand communicate clearly. Bonus Points For • Experience instartups, side projects, or hackathonswhere you’ve had to ship scrappy solutions fast. • Background inalgorithms, optimization, or data-heavy systems. • Experience withGoogle Cloud Platform (GCP)in production. • Familiarity withRedis(caching, queues) andPostgreSQLat some scale. • Exposure tocontainers and orchestration(Docker, Kubernetes) and/or serverless on GCP. This role is acentral 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).
This job posting was last updated on 11/24/2025