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Senior Full-stack Developer (Databricks, Python/FastAPI)

Remote in Poland
Python.Web& 14 others
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We are developing a new multi-cloud platform and want a Senior Full-stack Developer to build reliable Python/FastAPI APIs and React/TypeScript experiences. You will work with PostgreSQL, OpenSearch, and Databricks, focusing on integrations and performance. Apply now.

Responsibilities
  • Deliver and maintain web applications built with Python/FastAPI and SQL
  • Plan and design APIs and integrations that support high-load database operations
  • Optimize query performance across live production systems
  • Contribute UI functionality using TypeScript and React
  • Use GenAI engineering tools to improve development workflows and throughput
  • Collaborate closely with the team while executing autonomously on assigned tasks
  • Communicate proactively with team members and stakeholders
  • Take full ownership of product features and contribute beyond ticket completion
  • Handle ambiguity and consistently deliver in a fast-paced startup environment
Requirements
  • 5+ years of real-world production experience with Python, FastAPI, and SQL
  • Solid background in web application delivery, API design, and system integrations
  • Proficiency with high-load databases and query performance optimization techniques
  • Ability to contribute on the front end using TypeScript and React while staying effective full-stack
  • Experience using GenAI engineering tools, ideally Claude Code
  • Strong interpersonal communication and proactive collaboration skills, with ability to work independently
  • Capability to succeed amid ambiguity and deliver without constant direction in a transparent, fast-moving startup environment
  • English proficiency at B2 (Upper-Intermediate) level or higher
Nice to have
  • Hands-on skills with TypeScript, React, Next.js, Storybook, Playwright, Radix UI, and Zustand
  • Experience with PostgreSQL and OpenSearch in production contexts
  • Familiarity with cloud platforms, Infrastructure as Code, and adjacent tooling
  • Data engineering exposure, including PySpark and SparkSQL
  • Client-facing experience