Google

Software Engineering Manager II, Safe Data Deletion

place Sunnyvale, CA, USA

Found: Today

Software Engineering Manager II, Safe Data Deletion

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.

Safe Data Deletion (SDD) is a top-priority Google Cloud compliance platform that centrally orchestrates, monitors, and verifies data deletion at scale. Ahead of our Phase 1 launch across hundreds of GCP product teams, we are seeking an Engineering Manager to lead the delivery of this critical infrastructure.

In this role, you will partner across product areas to translate regulatory requirements into high-efficiency system designs, unblock partner migrations, and advance our long-term platform roadmap. You will bring deep expertise in Google infrastructure, the GCP serving stack, and distributed batch and stream processing to ensure customer data safety in highly regulated enterprise environments.

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 + benefitsLearn more about benefits at Google.
In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
  • 3 years of experience developing cloud environments, utilizing core cloud services and cloud APIs.
  • 2 years of experience in a people management or team leadership role, managing software engineers.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience working in a complex, matrixed organization.
  • Experience designing large-scale data preservation, archival, or safe deletion lifecycles.
  • Familiarity with enterprise compliance and data privacy regulations.

Responsibilities

  • Manage a team of 8 engineers working on building safe data deletion infrastructure. Work closely with them in their individual growth journeys, make and sustain the Safe Data Deletion.
  • Own the safe deletion north star goal and our delivery roadmap. Work closely with other functions and program partners to ensure aligned progress across the board to hit our overall goals.
  • Improve integration efficiency and onboarding cost to our services.
  • Own the production posture, proactively identify areas where we can improve reliability, latency and efficiency of our services.
  • Utilize AI and encourage responsible usage to improve team efficiency while ensuring accuracy.

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