Full Stack (Product) Engineer

Delphi; Deutschland; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading technology company in Germany is seeking a skilled Full Stack (Product) Engineer with 5-8 years of experience. The role involves owning product initiatives and architecting full-stack solutions using Next.js, Python, and AWS. Candidates must have a proven track record of designing scalable systems and effective communication skills. Experience with LLM API integration is a plus.

Qualifikationen

• 5-8 years of experience as a Full Stack Engineer with a backend focus.
• Proven ability to design scalable systems that support product initiatives.

Aufgaben

• Own and drive product initiatives for digital mind studio creator tools.
• Architect and ship scalable full-stack systems using Next.js, Python, and AWS.
• Navigate frontend and backend architecture with cross-domain excellence.

Kenntnisse

TypeScript

Next.js

Python

API integration

Cloud infrastructure deployment

Jobbeschreibung

We are seeking a highly skilled Full Stack (Product) Engineer with 5-8 years of experience, particularly backend leaning, who can own product initiatives from concept to launch. You should have deep proficiency in TypeScript / Next.js and Python, with a proven track record of designing scalable systems that support rapid growth.

You will architect full-stack solutions across our Next.js / Python / AWS stack, ensuring seamless experiences for customers. Bonus points if you have experience with LLM API integration and advanced cloud infrastructure deployment.

What you\'ll do

• Own and drive product initiatives for Delphi\'s digital mind studio creator tools, text / voice / video experiences, and consumer discovery platforms.
• Architect and ship scalable full-stack systems using Next.js, Python, and AWS, with efficient database structures and durable data models.
• Navigate frontend React development, backend architecture, and cloud infrastructure deployment with cross-domain excellence.
• Design and implement resilient systems architecture, including versioned APIs, queues, caching, and self-healing patterns, ensuring efficient and reliable performance.
• Integrate LLMs via API incorporating empathy for users, and effective communication skills that ensure delivery matches the idea.