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Software Engineer Manager, Google Cloud, API Proxy
- Tại nơi làm việc
- Toàn thời gian
- Google Cloud
- Software Engineering
Mô tả công việc
About the job
Like Google's own ambitions, the work of a Software Engineer goes 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. One Platform is the standard Google Application Programming Interface (API) platform for creating, managing, securing, and consuming APIs and services across organizations. It is used by Google APIs, Cloud APIs, Cloud Endpoints, and API Gateway. This platform provides a wide range of features to service consumers and service producers, including authentication, authorization, auditing, rate limiting, analytics, billing, logging, monitoring and policy enforcement. API Proxies like External Security Facility (ESF) and Cloud ESF function as the front-end for One Platform APIs. These proxies provide a critical layer for policy enforcement, transcoding, observability and other control plane functionalities.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google.
Responsibilities
- Build, lead, mentor, and grow a high-performing engineering team.
- Define and drive the strategy and roadmap for the core API Proxy/ESF runtime, reliability, security, OneMCP and other top priority initiatives within the One Platform ecosystem.
- Oversee the end-to-end project execution. Manage project priorities, timelines, and resource allocation to ensure predictable and high-quality releases. Identify and mitigate execution risks and dependencies.
- Partner closely with User Experience Tech Lead (UTL) and Product Manager (PM) to define product features, requirements, and success metrics. Collaborate effectively with other One Platform teams, Site Reliability Engineer (SRE), and key infrastructure teams. Engage with internal customer teams across Google to understand their API serving and proxy needs and gather feedback.
- Communicate team goal, project status, risks, and impact to leadership and stakeholders.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 3 years of experience in a technical leadership role; overseeing projects.
- 2 years of experience in a people management or team leadership role, and managing direct reports.
- Experience designing, building, and operating large-scale distributed systems, with scalability, fault tolerance, and reliability.
- Experience in cloud infrastructure (e.g., compute, storage, networking).
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a complex, matrixed organization.
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