remotely.living

Senior Full-stack Developer (PostgreSQL, OpenSearch, Databricks)

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

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Job description

We are building a new product across multiple clouds and are hiring a Senior Full-stack Developer to ship Python/FastAPI backend and React/TypeScript front-end features. You will work with PostgreSQL, OpenSearch, and Databricks while improving integrations and performance. Apply now.

Responsibilities

- Implement and maintain web applications with Python/FastAPI and SQL

- Create APIs and integrations that support high-load database operations

- Analyze and optimize query performance across production systems

- Build front-end components using TypeScript and React

- Adopt GenAI engineering tools to improve development workflows

- Collaborate with the team while progressing autonomously on your assignments

- Communicate proactively with team members and stakeholders

- Own product features and drive impact beyond ticket completion

- Deliver results while navigating ambiguity in a fast-paced startup environment

Requirements

- Proven 5+ years of production experience with Python, FastAPI, and SQL

- Comprehensive expertise in web apps, API design, and integration development

- Strong capability in high-load database handling and query performance optimization

- Experience with TypeScript and React, plus willingness to work full-stack

- Hands-on exposure to GenAI engineering tools, ideally Claude Code

- Effective communication skills and proactive execution, able to operate independently and as part of a team

- Ability to deal with 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

- Solid experience with TypeScript, React, Next.js, Storybook, Playwright, Radix UI, and Zustand

- Experience with PostgreSQL and OpenSearch

- Familiarity with cloud platforms, Infrastructure as Code, and related tools

- Background in data engineering with PySpark and SparkSQL

- Client-facing experience