Senior Software Engineer, Google Cloud Data Management

2 Months ago • 5-8 Years • Full Stack Development

Job Summary

Job Description

As a Senior Software Engineer in Google Cloud Data Management, you'll manage project priorities, deadlines, and deliverables. Responsibilities include designing, developing, testing, deploying, maintaining, and enhancing software solutions. You'll write and test code, participate in design reviews, review code from peers, contribute to documentation, and triage/resolve product or system issues. The role requires experience with software development (C++, C, or Python), data structures/algorithms, large-scale infrastructure, distributed systems, and software design and architecture. You'll work on projects critical to Google Cloud's needs, with opportunities for team and project switching. The ideal candidate displays leadership qualities, anticipates customer needs, and innovates.
Must have:
  • 5+ years software development (C++, C, Python)
  • Data structures/algorithms expertise
  • Experience with large-scale infrastructure
  • Software design & architecture experience
  • Testing, maintenance, and launch experience
Good to have:
  • Master's/PhD in CS
  • Technical leadership experience
  • Experience developing accessible technologies

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in C++, C, or Python; and with data structures/algorithms.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

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.

Responsibilities

  • Write and test product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

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