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Himalayas · Partner listing

Remote Backend Django Engineer – AI & Algorithmic Systems

Spotter Labs

⌖ WorldwideSalary not providedRemoteNot specified · Full-time

Source: Himalayas ↗

Location & working arrangement

Working arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.

Provider location / applicant eligibility: Worldwide

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. What You’ll Do Design and implement backend services and 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 of relational data modeling and SQL (we use PostgreSQL). Comfortable designing and building RESTful APIs (bonus if you’ve used DRF or similar frameworks). Experience working on non-trivial business logic or algorithms (e.g., decision flows, scoring rules, optimization logic). Good instincts around performance: understanding query behavior, avoiding obvious pitfalls, and using caching when it counts. A startup mindset: comfortable with ambiguity, moving fast, and iterating based on real-world feedback. Ability to work independently 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 in algorithms, 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. Originally posted on Himalayas

Skills mentioned in the listing

PythonSQLDjangoDockerKubernetesGoogle CloudPostgreSQLRedis

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Python · mentioned
untries. What You’ll Do Design and implement backend services and APIs using Python + Django (and DRF or similar). Model and evolve our domain in the database with clean, well-structured schemas and relationships. I

SQL · desirable
ons 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 similar frameworks). Experience wo

Django · mentioned
Remote Backend Django Engineer – AI & Algorithmic Systems 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 mod

Docker · mentioned
eues) 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 onc

Kubernetes · mentioned
d 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 mee

Google Cloud · requirement-context
ackground in algorithms, 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

PostgreSQL · desirable
hon + 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 similar frameworks). Experience working on non

Redis · requirement-context
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 G