
Organizing the world's information and making it universally accessible.
Software Engineer III, Engineering Productivity, Google Cloud
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Design and implement scalable tools and infrastructure that bridge internal developer platforms and GCP, directly optimizing the end-to-end Spanner release lifecycle.
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Drive developer productivity by automating manual workflows and streamlining CI/CD processes to ensure high-frequency, low-risk releases.
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Identify bottlenecks in the development ecosystem proactively and integrate modern engineering patterns/tooling (e.g., AI/agent) to keep Spanner’s infrastructure at the cutting edge.
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Partner with Spanner’s core database engine teams to gather requirements, diagnose pain points, and lead the adoption of new Eng Prod tooling.
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Focus on delivering measurable improvements in release reliability and system health.
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Bachelor’s degree or equivalent practical experience.
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2 years of experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks).
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2 years of experience building and scaling distributed services with a focus on reliability, security, and performance.
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2 years of experience in software development, with experience in C++ or Go.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
10 reviews
4.5
10 reviews
Work-life balance
3.2
Compensation
4.3
Culture
4.1
Career
4.2
Management
3.8
82%
Recommend to a friend
Pros
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
Cons
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
Salary Ranges
57,503 data points
Mid/L4
Mid/L4 · Accessibility Analyst
1 reports
$214,500
total per year
Base
$165,000
Stock
-
Bonus
-
$214,500
$214,500
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
Latest updates
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