Strong Middle Python Engineer
S-PROAbout the role
S-PRO, a top-tier Digital Innovation and Software Engineering company. We specialise in providing cutting-edge services for fast-growing businesses and enterprises, with a strong focus on Finance, Renewable Energy and Healthcare domains and expertise in AI, Blockchain and Data Science. Our team of over 200 dedicated professionals works tirelessly across our global offices to develop innovative digital solutions that drive sustainable business value and increase our client’s competitiveness in a dynamic digital landscape.
About the project:
We’re looking for a hands-on Stronh Middle Python Engineer to join a long-term product collaboration with an established European investment company. The company has been successfully managing multi-billion euro assets for 30+ years and is now actively investing in AI-driven innovation. You’ll work closely with a highly professional internal team — analysts, portfolio managers, and risk experts — to bring modern, impactful solutions into their everyday operations.
Requirements
What You’ll Be Working On:
AI-powered internal platform already in production.
Integration of LLM models for internal use.
Decision-making automation workflows.
Chat-based assistants for analysts and project managers.
End-to-end ownership: from architectural design to production deployment.
You’ll be deeply involved in technical decision-making and have a direct impact on the business, with no intermediaries — close collaboration with the client team is part of your daily routine.
Key Responsibilities:
Design and implement scalable backend APIs using Python and AWS Lambda.
Develop and manage OpenAPI specifications for all serverless APIs.
Build and maintain data models and schema migrations using PostgreSQL on AWS RDS.
Set up and maintain infrastructure-as-code using Terraform for AWS resources (e.g., ALB, RDS, Lambda, S3).
Collaborate with DevOps to establish smooth CI/CD pipelines using GitLab CI/CD.
Use Amazon S3 for storing and serving assets and data.
Work with Amazon Bedrock to integrate generative AI services (e.g., document processing, summarization).
Apply best practices in version control, testing, and security.
Participate in code reviews, architectural planning, and agile team ceremonies.
Requirements:
3+ years of hands-on experience with Python 3.
Experience building APIs using FastAPI or similar Python web frameworks.
Experience in developing serverless applications using AWS Lambda.
Familiarity with API Gateway and/or ALB for routing and service integration.
Solid understanding of PostgreSQL, with experience deploying to AWS RDS.
Knowledge of Terraform for infrastructure provisioning and management.
Familiarity with OpenAPI/Swagger for API contracts and documentation.
Experience with GitLab and Git workflows for version control and CI/CD pipelines.
Understanding of S3 use cases in web applications.
Comfortable working in agile environments and taking initiative to solve problems.
Nice to Have:
Experience with Amazon Bedrock or similar AI/ML platforms.
Knowledge of monitoring and logging tools within AWS.
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