Staff Software Engineer - ML Infra & Distributed Systems Lead

Google; Zürich; Vor Ort; CHF 150.000 - 190.000; Vollzeit

Zusammenfassung

Google in Zurich is seeking an experienced software engineer to design, build, and maintain high-performance platform services. You will work on large-scale ML infrastructure and distributed systems, with opportunities to lead architecture and technical direction.

The role emphasizes cross-team collaboration, real-time processing, and driving product evolution through data-driven methods in a fast-paced environment.

Qualifikationen

• Bachelor's degree or equivalent practical experience.
• 8 years of experience developing software in C++.
• 5 years of experience building and operating large-scale ML infrastructure and distributed systems.
• 3 years of experience with software design, architecture and technical leadership.

Aufgaben

• Design, build, and maintain high-performance platform services in C++ and Java for millions of users.
• Develop distributed microservices and RPC-based architectures, focusing on real-time voice/audio processing and streaming protocols.
• Create and optimize ML pipelines, overseeing data processing and model training, evaluation, and deployment.
• Perform root-cause complex failures across multi-service environments, establish guardrails, and lead data-driven change management with A/B testing and metrics.
• Collaborate with internal developers and end-users to identify friction points, document clear technical designs, and ensure high-alignment engineering discussions.

Kenntnisse

Distributed systems

Technical leadership

A/B testing & metrics

Root-cause analysis

Ausbildung

Bachelor's degree or equivalent practical experience

Tools

C++

Java

Go

Python

Kotlin

Distributed systems

Jobbeschreibung

Google in Zurich is seeking an experienced software engineer to design, build, and maintain high-performance platform services. You will work on large-scale ML infrastructure and distributed systems, with opportunities to lead architecture and technical direction.

The role emphasizes cross-team collaboration, real-time processing, and driving product evolution through data-driven methods in a fast-paced environment.