Python and Backend development Intern

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