Mid/Senior Python Software Engineer @ Shelton AI

Shelton AI; Polska; On-site; PLN 211,000 - 296,000; Full time

Job summary

A leading technology firm in Poland is seeking a Mid/Senior Python Backend Developer with Django experience. The ideal candidate has over 3 years of backend development expertise, particularly in Python, and strong skills in SQL database design. You'll work collaboratively with an innovative team to develop secure, scalable RESTful APIs and optimize database performance. This position offers opportunities for impactful work in the field of AI.

Qualifications

• 3+ years of backend development experience, primarily in Python.
• 2+ years of hands‑on production experience with Django.
• Deep expertise in SQL database design and data modeling.
• Solid experience building RESTful APIs.
• Proficiency in writing unit and integration tests.
• Strong analytical and communication skills.

Responsibilities

• Design and maintain backend services using Django.
• Optimize complex database schemas in PostgreSQL.
• Develop secure, scalable RESTful APIs.
• Implement CI/CD pipelines using GitHub Actions.
• Utilize Docker for containerization.

Skills

Python

Django

SQL database design

RESTful APIs

Docker

AWS services

Tools

PostgreSQL

Celery

Git

GitHub Actions

Job description

Overview

Shelton AI develops AI solutions tailored for private markets, catering to top‑tier asset allocators such as sovereign wealth funds and pension funds. As a leader in the financial technology sector, Shelton specializes in advanced solutions primarily aimed at increasing transparency within private markets. The company is dedicated to optimizing investment processes and enhancing operational efficiencies throughout the entire investment cycle.

We are seeking a Mid/Senior Python Backend Developer with Django experience and strong expertise in SQL database design and optimization. If you love clean code, performance tuning, and working with data at scale, this is your opportunity to collaborate with an innovative team in the rapidly evolving field of AI. Our clients impact outcomes for millions of families and we are here to make the world's capital matter.

Responsibilities

• Design, build, and maintain backend services using Django, Python, and related technologies.
• Define and optimize complex database schemas in PostgreSQL, ensuring efficient indexing and query performance.
• Develop secure, scalable RESTful APIs and integrate with frontend and product teams.
• Implement continuous integration/continuous deployment pipelines using GitHub Actions, Datadog, and related tooling.
• Write unit and integration tests and maintain code quality through review processes and best practices.
• Utilize Docker for containerization and manage asynchronous job processing in Celery/Redis.
• Work with AWS services (EC2, Elastic Beanstalk, RDS, S3, Cognito) and other cloud providers.
• Apply prompt engineering and LLM integrations (OpenAI API) for advanced AI features.
• Collaborate on architectural decisions, ensuring robust, maintainable code structures and strong typing.
• Communicate findings and collaborate independently within a fast‑paced, entrepreneurial environment.

Required Qualifications

• 3+ years of backend development experience, primarily in Python.
• 2+ years of hands‑on production experience with Django.
• Deep expertise in SQL database design, indexing, query optimization, and data modeling; strong knowledge of PostgreSQL.
• Solid experience building RESTful APIs.
• Proficiency in writing unit and integration tests.
• Experience with CI/CD pipelines (e.g., GitHub Actions, Datadog).
• Experience using Git (and other version control tools) and containerization with Docker.
• Strong analytical and communication skills.
• Independent work capability, self‑motivation, and problem‑solving aptitude.
• Knowledge of AWS or comparable cloud services and familiarity with CDN, databases, and identity services.

Bonus Points

• Experience with asynchronous Django or Django Channels (Daphne).
• Analytics or data‑engineering experience (e.g., LLM integrations, prompt engineering).
• Familiarity with Agile or Scrum workflows.