We’re a remote, product-focused startup building AI- and algorithm-driven systems, and we’relooking for a strong Backend Django Engineer who loves clean data models, well-designedAPIs, and clever algorithms.
You’ll own core backend features end-to-end: from modeling the data to implementing the logicand exposing it through fast, reliable services that ship to users quickly, working with a smalldistributed 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 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 ofrelational data modelingandSQL(we use PostgreSQL).
Comfortable designing and buildingRESTful 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 environmentand communicate clearly. Bonus Points For
Experience instartups, side projects, or hackathonswhere you’ve had to ship scrappysolutions 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 onGCP. This role is acentral piece of our backend roadmap, and we’re aiming to fill it quickly oncewe 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).
Spotter Labs is a technology company that provides infrastructure and solutions for the trucking and transportation industry. The company operates a platform that connects with drivers to provide on-the-road assistance, support services, and shipment tracking capabilities. Spotter Labs also works with U.S. state agencies (DMV/BMV/DPS) to build and maintain API integrations for accessing government data systems. The company manages complex technical integrations across multiple states while ensuring compliance with regulatory requirements like DPPA and security standards.
