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
Was du mitbringst:
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
proven experience architecting and delivering resilient and performant data or application platforms, including event-driven, real-time, or multi-region systems
hands-on mastery of modern data and compute paradigms, including orchestration, modeling, schema evolution, data versioning, and query optimization, independent of specific tools or vendors
strong grounding in systems design, software lifecycle management, observability, and reliability engineering
excellent communication and collaboration skills, with the ability to work effectively across disciplines and provide technical guidance and mentoring through hands-on expertise
strong intrinsic motivation to explore diverse technologies and thrive in an environment that combines big data, cloud infrastructure, and modern engineering practices