Software Engineer Internship for HPI Students

🇩🇪 Berlin, Berlin
EUR0 - EUR0 Annual
Posted 6 months ago
Expires June 27, 2026
InternshipHybridEngineering

About the role

Taktile is a high-growth series B start-up, on a fast track to become the market leader in the field of automated decisioning. We have partnered with Hasso Plattner Institute (HPI), a leading computer science institute in Europe, to offer a dedicated opportunity designed only for HPI students. This program is tailored for Computer Science students eager to gain hands-on industry experience while building the foundations for a world-class engineering career.

If you’re ambitious, have strong engineering fundamentals, and want to grow as a software engineer while learning from experienced mentors in a high-impact startup environment, this role is for you. Join us and become part of the next generation of IT experts shaping the future of distributed systems, cloud computing, and scalable digital products.

What You'll Do

- Work on backend components written in Python / FastAPI, hosted on an AWS serverless architecture, or contribute to React/Typescript front-end components - or both!

- Engage actively in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions.

- Grow as an individual and accelerate your career by learning from our experienced team, contributing to a foundational layer of the product, and joining cross-team learning groups.

- Build role-relevant experience early in your career, and experience the rewarding feeling of shipping value fast.

Requirements:

- Taktile is a hybrid company that requires working 3 days/week from our Berlin HQ in Germany.

- Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication.

- Strong engineering fundamentals with a passion for simplicity and precision

Required Experience

- Currently pursuing a bachelor's or master's degree at Hasso Plattner Institut (HPI).

- Solid Computer Science fundamentals: data structures, algorithms, networking, distributed systems, databases,...

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