Senior Infrastructure Software Engineer (Large-Scale Systems)

Google

Kirkland (WA)

On-site

USD 147,000 - 210,000

Full time

31 hours ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) with company match
Paid time off
Sick time
Maternity leave
Baby bonding leave
Holidays

Job summary

Google is seeking software engineers who will work on next-generation technologies at massive scale. You will contribute to projects across information retrieval, distributed computing, and AI-driven advertising platforms.

US-based positions offer a comprehensive benefits package and opportunities to collaborate with Google Research and DeepMind. Individual pay ranges reflect skills, experience, and education, with a strong emphasis on growth and impact.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of software development experience or 1 year with an advanced degree.
  • 2 years of experience with large-scale infrastructure, distributed systems or compute/storage/hardware.
  • Experience with large-scale data processing systems or streaming pipelines.

Responsibilities

  • Write product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders.
  • Review code to ensure best practices, testing, and quality.
  • Contribute to documentation and educational content.
  • Triages product or system issues and resolves impacts on hardware, network, or services.

Skills

Software development
Large-scale infrastructure
Distributed systems
Data processing pipelines

Education

Bachelor’s degree or equivalent practical experience

Job description

Google is seeking software engineers who will work on next-generation technologies at massive scale. You will contribute to projects across information retrieval, distributed computing, and AI-driven advertising platforms.

US-based positions offer a comprehensive benefits package and opportunities to collaborate with Google Research and DeepMind. Individual pay ranges reflect skills, experience, and education, with a strong emphasis on growth and impact.

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