About the project: We’re looking for a hands-on, self-sufficient 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. The engagement spans several parallel sub-projects, so you’ll be able to switch context and contribute across different workstreams within the same collaboration.

What You’ll Be Working On: AI-powered internal platform already in production. Decision-making automation workflows. Work with financial data, reports, documents, and internal knowledge sources. Handling business-critical tasks that directly affect daily operations. End-to-end ownership: from architectural design to production deployment, including monitoring and production support.

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. Build and orchestrate workflows using AWS Step Functions. Collaborate with DevOps to establish smooth CI/CD pipelines using GitLab CI/CD. Use Amazon S3 for storing and serving assets and data. Monitor production systems and provide ongoing production support. 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 Flask or similar Python web frameworks. Experience developing serverless applications using AWS Lambda. Experience with AWS Step Functions for building and orchestrating workflows. 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 SFTP, SharePoint, or other enterprise integrations. Experience integrating with PowerPoint, Excel, or working with Power Queries. AI is used as part of the daily engineering routine — e.g., for troubleshooting and root-cause analysis — so hands-on experience with AI tools is a plus, and any background in AI integration is welcome, though not required. Knowledge of monitoring and logging tools within AWS. Previous experience in the fintech or asset management domain. Awareness of security practices for serverless apps (IAM roles, API authorization, secret management).

Stages of Interview: Interview with a Recruiter (45 minutes). Internal technical interview (1,5 hour). Interview with the client (1 hour).