Lead Python Developer

Join our team in Warsaw, where we’re collaborating on a cutting-edge fintech venture with a global industry leader. Together with our Partner- Klarna, we’re building an IT hub designed to drive innovation in digital payment solutions. We’re on the lookout for top-tier engineers who thrive in dynamic, forward-thinking environments. Spyrosoft is leading the recruitment process, facilitating a seamless experience for candidates who are ready to shape the future of online shopping and payments.

This opportunity is ideal for engineers who value independence, proactiveness, and flexibility. Our engagement begins with a B2B contract through Spyrosoft, transitioning to a direct contract with our Partner.

We offer a hybrid work model in Warsaw’s vibrant Wola district. English fluency and eligibility to work in Poland are essential, as is the successful completion of a background check to meet the rigorous standards of the financial domain.

Our process:

• CV selection
• Initial recruitment screening
• Technical interview
• Online logic test
• Cultural fit interview

Requirements:

• Strong proficiency in Python, with hands-on experience building RESTful APIs using FastAPI, Flask, or Django.
• Solid understanding of cloud platforms (AWS preferred), including services like Lambda and ECS, and a working knowledge of microservices architecture.
• Passion for AI technologies, with exposure to large language models (LLMs), natural language processing (NLP), or prompt engineering considered a plus.
• Familiarity with CI/CD tools and workflows, version control systems like Git, and containerization with Docker for seamless development and deployment processes.
• Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams.

What You’ll Do:

• Design, build, and maintain Python-based microservices supporting Klarna’s AI-driven internal tools, including Rejection Bot, Appeal Bot, Timeline Bot, and future LLM-powered platforms.
• Integrate seamlessly with internal APIs (e.g., PTX, Decision Store, OSIS) and third-party systems such as Kiki, FullStory, and Slack.
• Monitor system performance and user experience using observability tools like Datadog and Langsmith, focusing on key metrics such as latency, error rates, and customer satisfaction.
• Work closely with cross-functional teams- including Product, Data Science, Legal, and Customer Service- to deliver scalable, compliant, and user-centric AI solutions.
• Promote engineering excellence through code reviews, CI/CD pipelines, Docker-based workflows, automated testing, and adherence to microservice design principles in a high-velocity development environment.