Software Engineering Manager, Google Cloud Storage (Mandarin, English) - Singapore

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Additional job description

Google Cloud Storage (GCS), the foundational object storage service for Google's cloud. This is a distributed storage system that manages exabytes of user data, trillions of objects, petabytes of traffic, and millions of queries per second. This distributed service supports major global AI, consumer, and enterprise companies, as well as numerous startups, and is a key business for Google Cloud. Our mission is to enable customer success for the most demanding AI/ML and problem-solving workloads.

As a Software Engineering Manager, you will lead and grow a high-performing team focused on delivering a high-performance storage solution.

Qualifications

Job responsibilities

• Lead a team to deliver a high-performance, client experience for Google Cloud Storage and to build a high-performing team to execute on Storage priority of enabling AI/ML workloads for customers.
• Partner with stakeholders and technical leads to define and execute the technical strategy for Storage and ensure the team's roadmap directly supports the goal.
• Guide the team through complex architectural decisions and ensure standards for code quality. Improve the end-to-end customer experience.
• Hire, develop, and retain a high-performing team of software engineers while fostering an environment.
• Demonstrate customer empathy.

Minimum qualifications

• Bachelor’s degree in Computer Science, or equivalent practical experience.
• 8 years of experience with software development and developing large-scale infrastructure, storage or distributed systems.
• 5 years of experience in testing and launching software products.
• 3 years of experience with software design and architecture.
• 2 years of experience in a people management or team leadership role.
• Ability to communicate in Mandarin and English fluently to partner with local clients and regional partners.
  

Preferred qualifications

• Experience with storage technologies and managing a team that built and operated systems at scale.
• Experience in partnering with cross-functional stakeholders (program manager/technical program manager/SRE) and building a roadmap of launches/improvements for specific areas.
• Experience in driving a portfolio of concurrent engineering projects from short-term critical feature launches to long-term initiatives.
• Experience with delighting enterprise customers, and understanding of enterprise workloads.
• Ability to work with specialists on system designs and ambiguity.
• Ability to understand and guide work within a large, complex codebase.