remotely.living

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

EPAM Systems · Remote - Poland · 2026-09-29

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Job description

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