Software Engineer

Company Description

Axel Springer is Europe’s leading digital publisher and a global media and technology company headquartered in Berlin. With renowned brands such as BILD, POLITICO Germany, WELT und BUSINESS INSIDER Germany, we reach millions of users worldwide. We combine the reach of an established industry leader with the agility of a startup, constantly driving innovation to transform journalism for the digital age. 

Our corporate strategy places AI at the center: “Digital is the new print. AI is the new digital.” This vision reflects our belief that the fusion of artificial intelligence and human creativity will shape the future of media. Our National Media & Tech division is the central tech hub that ensures our journalism is supported by state-of-the-art technology, positioning our brands to thrive in the digital age. We believe in the future of journalism as a business model and invest in forward-looking technologies. Our five essentials are the values that unite us and guide us in our commitment to freedom.

You will be part of an innovative team building data-driven systems that power digital media and advertising at scale and tackle complex challenges, contributing to the design and evolution of high-performance data platforms.

Job Description

• design, develop, and operate large-scale, distributed data systems that support media and advertising products
• take full ownership of the full lifecycle of our systems, including architecture, implementation, testing, deployment, operations and continuously shape their evolution
• collaborate across teams to define data models, pipelines, and APIs that ensure reliable and high-quality data delivery
• you will collaborate closely with other engineers, data scientists, and product teams to drive improvements, introduce new ideas, and ensure technical excellence
• contribute to continuous optimization and performance improvements across our platforms
• stay curious and proactive, explore emerging technologies, propose innovative solutions, and raise the engineering bar

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, a related field or equivalent proven expertise through experience and impact
• 8+ years of professional software engineering experience, with an exceptional track record of owning and delivering complex, high-impact systems at scale
• deep proficiency in at least two modern programming languages and ecosystems (e.g., one strongly typed, one dynamic or functional)
• demonstrated ability to independently design, evolve, and operate distributed systems and large-scale microservice architectures in cloud environments such as AWS, GCP, Azure, or equivalent