Technical Lead Python Engineer @ Winged IT
(práce v Polsku)

Technical Lead Python Engineer @ Winged IT

Polsko

-> more than 10 years of programming experience, ideally with past roles as a Lead or Tech Lead;

-> strong command of Python, with hands-on experience developing RESTful APIs using frameworks like FastAPI, Flask, or Django;

-> solid knowledge of cloud platforms, particularly AWS services like Lambda, ECS, and others, along with a deep understanding of microservices architecture;

-> genuine interest in artificial intelligence; experience with LLMs, natural language processing, or prompt engineering is a plus;

-> familiar with CI/CD pipelines, Docker, and Git to support efficient and reliable deployments;

-> excellent communication skills, with the ability to collaborate effectively across both technical and non-technical teams;

-> proficient in AWS cloud technologies, including Serverless, Lambda, Redshift, S3, and EC2);

-> advanced English language skills (B2 level or higher)

Do you want to play a key role in revolutionizing the future of finance? Join our Cilent - a global leader in deferred payments, with over 85 million active users and 2.5 million transactions processed daily! As a pioneer in modern payment solutions, our Client is developing innovative methods that streamline the shopping experience, enhance transaction security, and expand the availability of purchasing options. 

Were seeking individuals eager to achieve remarkable results and share their bold vision to redefine the future of payments and fintech. Send us your CV - we can’t wait to meet you!

,[to develop and maintain Python-based microservices that support the Client’s LLM-powered tools (such as Rejection Bot, Appeal Bot, and Timeline Bot) as well as future AI-driven internal platforms;, to connect and interact with Klarna APIs (PTX, Decision Store, OSIS) and third-party services (like Kiki, FullStory, and Slack);, to track and enhance system performance using tools like Datadog and Langsmith, focusing on key metrics such as latency, error rates, and user experience;, to work closely with teams across Product, Data Science, Legal, and Customer Service to deliver AI solutions that are scalable, compliant, and centered on user needs;, to promote engineering best practices—including code reviews, continuous integration/deployment, Docker usage, thorough testing, and a microservices approach—within a fast-moving, growth-oriented team.] Requirements: Python, AWS, AI

Kategorie

fullstack

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