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Senior Backend Developer / Data Engineer

Vbeyond Corporation — Poland · Posted ~2 hours ago

Senior

Skills

Python FastAPI REST APIs PostgreSQL ETL pipelines Git GitHub Actions CI/CD Docker Backend development Data engineering RAG

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Summary ✨ AI‑Generated

A senior backend and data engineering role for an experienced Python developer working on AI-oriented applications and sophisticated document-processing systems. You will build scalable, testable REST services with FastAPI, design ETL pipelines, work with PostgreSQL, maintain CI/CD automation, and containerize applications with Docker. Strong engineering practices and code quality are central to the role.

Highlights

Senior-level opportunity requiring substantial professional experience, with ownership across backend engineering and data pipelines. Work includes AI-oriented applications, document analysis, REST services, ETL, CI/CD, and containerized deployments.

Description

Description of the project in which the service will be provided One of the projects is a RAG-based consumer assistant, the second one is focused on in-depth various types of document analysis and a chat-based interface. Both projects need further development and maintenance. Experience level: At least 8 years of professional experience. Location: Warsaw, Poland Key technical requirements Python Proficiency: Strong proficiency in Python, including writing clean, type-hinted, scalable, and testable code. Strong focus on code quality, maintainability, and engineering best practices.Backend And Data Pipelines Development: Proficiency to develop REST applications with FastAPI. Experience with databases (e.g. PostgreSQL). Experience with designing and implementing ETL pipelines.Development Practices: Strong knowledge of Git version control. Experience with GitHub Actions and building CI/CD pipelines.Cloud / Platform Requirements: Strong knowledge of Docker and application containerization. Good understanding of core AWS services, particularly AWS Glue, AWS Batch, ECS, S3, and ECR.Nice-to-have requirements Observability: Basic knowledge of OpenTelemetry, including metrics, distributed tracing, logging, and observability best practices.Platform & Security: Basic knowledge of Kubernetes and Helm Charts. Familiarity with OAuth 2.0 and modern authorization mechanisms.Data & Architecture: Understanding of relational databases and data engineering best practices. Experience building cloud-native and microservices-based systems.AI / Machine Learning: Interest in or experience working with AI/ML systems and LLM-based applications. Technologies utilized Python, AWS, Kubernetes, LLMs, Classical AI/ML.