Senior Software Engineer, Infrastructure, Google Workspace

Google LLC
Los Angeles, CA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
$174,000 - $252,000
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence C++ (Programming Language) Code Review Data Structures Software Debugging Distributed Systems Design of User Interfaces Push Technology Information Retrieval Python (Programming Language) Machine Learning
+11 more
Natural Language Processing Software Architecture Systems Development Life Cycle Software Systems Systems Architecture Data Storage Technologies Information Technology Search Engines Gsuite DeepMind Golang

Job description

Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

AI will change the future of work in profound ways, and our products- Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits, * 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.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience programming in C++, Java, Go or Python.
  • 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 machine learning, or experience with compute technologies, or hardware architecture., * Master’s degree or PhD in Computer Science or related technical field.
  • 5 years of experience with data structures/algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.

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