Join us to build, ship, and scale real backend systems that power multiple products. This is a hands-on role: you’ll contribute production code from day one, owning API endpoints, database schemas, automation jobs, and deployment pipelines. We’re a small, async team—ideal for self-starters who love solving real problems end-to-end.
What you’ll do?
- Design, build, and document RESTful APIs (FastAPI/Flask/Django) consumed by real users and internal services
- Model data and implement relational schemas (PostgreSQL/MySQL), migrations, and query optimization
- Implement ad-hoc automations and backend utilities (cron jobs, CLIs, webhooks, ETL tasks)
- Apply data-science/ML pragmatically (inference, small pipelines, embeddings/classifiers) to streamline workflows
- Add observability (structured logs, metrics, health checks) and production-grade error handling
- Ship with Docker, write basic CI/CD pipelines, and deploy to a VPS/cloud target
- Contribute to open-source (bug fixes, docs, small features) and participate in code reviews
- Collaborate asynchronously across multiple projects with clear PRs, design notes, and checklists
Must-have skills
- API development: Prior experience shipping REST endpoints and handling auth, validation, and pagination
- Backend framework: Proficiency with at least one of FastAPI / Flask / Django
- Databases: Strong SQL fundamentals, schema design, indexing, migrations, and transactions (PostgreSQL/MySQL)
- Breadth: Comfort jumping between backend, data-science tasks, and one-off automations
- Reasoning: Solid mathematical & logical problem-solving; you can break down ambiguous specs
- DevOps basics: Docker, simple CI/CD, environment management, and VPS setup
- Code quality: Clean, testable Python; typing where useful; linting; meaningful commit history
Nice-to-haves
- Caching (Redis), task queues (RQ/Celery), or pub/sub
- Auth patterns (JWT/session), RBAC/ABAC
- Performance profiling (cProfile, py-spy), SQL EXPLAIN skills
- Basic front-of-house skills (Postman collections, OpenAPI, minimal docs)
- Exposure to vector DBs/LLM tooling, or lightweight feature engineering
Tech-stack that you’ll work on
- Python: FastAPI, Pydantic, SQLAlchemy/psycopg
- Data/Infra: PostgreSQL/MySQL, Redis; Docker; GitHub Actions (CI/CD)
- Ops: Nginx/Caddy, systemd, basic Linux administration; observability via logs/metrics
