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Job Description

  • Manage and develop an engineering team, manage staffing, support career growth and high-performance environment.
  • Own the strategy, scoping, and outcomes for modernizing data delivery infrastructure.
  • Accelerate data pipeline cadence to achieve daily releases and manage high-query-per-second (QPS), low-latency dynamic data servers.
  • Direct the team through architectural ambiguity by breaking down complex, large-scale data and infrastructure challenges into incremental technical milestones.
  • Collaborate with cross-functional engineering teams to align shared roadmaps, streamline data pathways, and power foundational data infrastructure.

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 in a technical leadership role.
  • 2 years of experience in a people management or team leadership role.

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 with large-scale distributed systems, data processing pipelines, and serving infrastructure.
  • Experience leveraging artificial intelligence (AI) to streamline engineering workflows, optimize code delivery, and solve system architecture challenges.
  • 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 in a technical leadership role.
  • 2 years of experience in a people management or team leadership role.
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  • Role Software Engineer Manager, Infrastructure, Geo Auto
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
Check my match (free)
Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

44 more Infrastructure & Platform Engineer roles in Seattle

Job Overview

Approx. salary range

198K – 298K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 67 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
10 hours ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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