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Back End Developer

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Onsite

Back End Developer

E-Solutions

Back End Developer

Skills

DockerPythonMicroservicesPostgreSQLGitMachine LearningAIAWSGitHubKubernetesFastAPI

2 months ago

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Important information


Contract type:

Permanent

Location:

Warsaw, Poland

Work mode:

Onsite

Published on:

4 September 2026

What they need


Role: Backend Developer / Data Engineer

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.

Language requirements (language, proficiency level)

 English: C1 proficiency level.

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.

Technologies utilized

Python, AWS, Kubernetes, LLMs, Classical AI/ML.

Team and work methodology

Team is mostly Poland-based, a mix of Data Scientists and Machine Learning

Engineers working in Agile. The size of the team is currently 8 people including the PM.

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