Python Developer

What you’ll doBuild and maintain backend services and APIs using Python with Django, Flask, or FastAPIDesign data models and write efficient queries across PostgreSQL, MySQL, MongoDB, and RedisDevelop data pipelines and ETL workflows with tools such as Airflow, Pandas, Celery, or SparkAutomate processes, integrations, and internal tools that save the business hours every weekDeploy to the cloud (AWS, Azure, or GCP) using Docker, CI/CD, and infrastructure-as-codeWrite clean, well-tested code with pytest and thoughtful code reviewsIntegrate third-party APIs and build reliable, secure, scalable servicesSupport analytics and ML teams by productionizing models and data workflowsMonitor, debug, and optimize performance in productionCollaborate with product managers, designers, and data teams to turn ideas into shipped featuresPick your trackLevel Typical experience What you’ll ownDeveloper I - 0-2 years : Well-scoped features, bug fixes, and tests, learning our codebase with a dedicated mentorDeveloper II - 2-5 years : End-to-end feature delivery, API and data design, code reviews, mentoring newer developersSenior Developer - 5+ years : Architecting services, setting technical direction, leading projects, raising engineering standardsPromotion criteria are written down at every level, with regular career conversations to keep you moving.What you bringMust haveStrong Python fundamentals: data structures, OOP, error handling, and writing Pythonic codeExperience with at least one framework (Django, Flask, or FastAPI)Working knowledge of SQL, relational databases, and REST API designComfort with Git and collaborative workflowsA habit of testing your work and explaining your decisions clearlyBachelor’s degree in Computer Science, Engineering, Math, or a related field, or equivalent experience (bootcamp and self-taught developers welcome). We hire for skill, not pedigree.Nice to have (not required)Experience with Pandas, NumPy, Airflow, Celery, or KafkaFamiliarity with Docker, Kubernetes, and cloud services (AWS Lambda, S3, Azure Functions)Exposure to machine learning libraries (scikit-learn, TensorFlow, PyTorch) or LLM integrationsAsync programming (asyncio), type hints, and tools like mypy and PoetrySecure coding practices (OAuth2, JWT, OWASP)GitHub projects, open-source contributions, or Kaggle work you can show offIndustry experience in [fintech, healthcare, SaaS, e-commerce, etc.]