11 beste Stellen als phd engineering in berlin – aktuell auf Personalsuche

Curriculum Manager - Cloud
DataCamp —Berlin
- Homeoffice
- Doktorat
- Informatik
- Master
Direkt bewerben
DFT & Post-Silicon Validation
TechBiz Global GmbH —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Master
Direkt bewerben
Senior AI/ML Engineer, Security Log Intelligence
RedMimicry GmbH —Berlin
- 85.000 € – 94.000 € pro Jahr
- Hybrides Arbeiten
- Doktorat
- Master
- Homeoffice-Möglichkeit
Direkt bewerben
3 Tage
Applied Scientist, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
Sr. Applied Scientist, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
Business Development Manager
Dunia Innovations GmbH —Berlin
- Vollzeit
- Doktorat
- Master
Direkt bewerben
Senior Software Engineer, API
Realtime Robotics —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Master
Direkt bewerben
Founding Engineer
Junini GmbH —Berlin
- Doktorat
- Master
- AWS
Direkt bewerben
Senior Applied Scientist (Algorithmic Pricing) - Pricing, Traffic & Trading Tech (All Genders)
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Master
- Umzugskostenzuschuss
1 Tag
Software Engineer, Data Infrastructure & Acquisition - Berlin, Germany
Speechify —Berlin
- 30.000 € – 120.000 € pro Jahr
- Homeoffice
- Doktorat
- Informatik
- Master
2 Tage
Senior Software Engineer, Windows/Desktop Applications - Berlin, Germany
Speechify —Berlin
- 30.000 € – 120.000 € pro Jahr
- Homeoffice
- Doktorat
2 Tage

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DFT & Post-Silicon Validation
TechBiz Global GmbH —Berlin
Strong background in post-silicon test optimization and yield analysis. As a Senior DFT and Post-Silicon Lead, you will own the DFT implementation process,…
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Curriculum Manager - Cloud

DataCamp -
Berlin

Direkt bewerben

Details zur Stelle

Qualifikationen

Doktorat
Informatik
Master

Vollständige Stellenbeschreibung

Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.

In this role, you'll combine deep cloud expertise, technical breadth, and a passion for great didactic experiences to build the next generation of cloud education at DataCamp.

About the role

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation across cloud platforms (AWS, Azure, GCP) and cloud-adjacent topics such as DevOps, infrastructure-as-code, MLOps, and cloud data engineering. Here's what your day-to-day will look like:

Manage the entire content development lifecycle and deadlines.
Source and recruit top-tier subject-matter experts as instructors.
Collaborate with instructors to create engaging content.
Consistently leverage AI tools like Claude Code, Cursor, and more to drive high-quality content production at scale.
Design, review, and create content on Cloud platforms, cloud architecture, DevOps, cloud data engineering, and related topics. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
Continuously assess course performance using learner feedback and engagement data to drive improvements.
Identify and prioritize existing curriculum gaps or new topics in DataCamp's cloud curriculum.

We're excited about you because you have the following

A solid hands-on background working with one or more major cloud platforms (AWS, Azure, or GCP). Relevant cloud certifications (e.g. AWS Solutions Architect, Google Professional Cloud Architect, Azure Administrator) are a strong plus.
Broad cloud fluency spanning infrastructure, storage, compute, networking, and managed services, with additional depth in at least one area such as cloud data engineering, MLOps, serverless, or DevOps/IaC.
A solid technical background in Python and/or SQL, with comfort working in cloud-native tooling and CLI environments.
Intuitive understanding of instructional design, with proven ability to structure and teach technical concepts clearly.
Graduate degree (Master's or PhD) in Computer Science, Cloud Computing, Software Engineering, or a related STEM field—or equivalent industry experience.
Strong experience with agentic coding systems such as Claude Code, Cursor, and Replit. You consider yourself a sophisticated user of these tools.

Bonus if you have the following

A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course.
An existing network of potential subject matter experts who can become DataCamp instructors.
An extensive track record of building sophisticated AI systems and workflows.

If you don't meet all the requirements but are excited about the role and believe your background makes you a strong fit, we encourage you to apply.

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Erweiterte Suche

phd engineering Jobs in berlin

Curriculum Manager - Cloud

DFT & Post-Silicon Validation

Senior AI/ML Engineer, Security Log Intelligence

Applied Scientist, Amazon Robotics

Sr. Applied Scientist, Amazon Robotics

Business Development Manager

Senior Software Engineer, API

Founding Engineer

Senior Applied Scientist (Algorithmic Pricing) - Pricing, Traffic & Trading Tech (All Genders)

Software Engineer, Data Infrastructure & Acquisition - Berlin, Germany

Senior Software Engineer, Windows/Desktop Applications - Berlin, Germany

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