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Strong Middle Python Engineer at S-PRO. Location Information: Remote job. . 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.. Previous experience in the . fintech. or . asset management. domain. Awareness of . security practices. for serverless apps (IAM roles, API authorization, secret management). What we offer:. Long team focus: . we create an environment of transparent communication, and minimal bureaucracy, which leads to long-term relationships.. Development of niche expertise:. we are working in several niches, such as FinTech, healthcare, and logistics. Therefore, our employees can develop their own expertise in these domains.. Continuous learning: . we create employee development plans / personal roadmaps /quick promotion processes.. Internal career development:. 80% of our current executives were promoted to those positions within S-PRO. We encourage initiative. If a person wants to set new challenges and grow, we will definitely support them.. Benefits and perks. :. Flexible schedule.. Remote work model.. Medical insurance. Paid vacations. Paid Sick-leaves.. Paid State holidays.. .