
Organizing the world's information and making it universally accessible.
Software Engineer, Performance, Reliability, Observability, PhD, Early Careers
About the job
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.
The Google Cloud Performance, Reliability, and Observability team develop unified debugging, profiling, and analytics tools for our customers, ranging from dashboards to debug individual request handling traces, to in-depth cross-component analysis of system behaviour. We explore options of using machine learning to automate anomaly detection in Google Cloud control plane systems.
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 product or system development code.
Minimum qualifications
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PhD in Computer Science or related technical fields, or equivalent practical experience.
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2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
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2 years of experience with software development with the use of SQL and advanced algorithms.
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2 years of experience with developing large-scale infrastructure, distributed systems, or networks, or experience with compute technologies, storage, or hardware architecture.
Preferred qualifications
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2 years of experience with data structures or algorithms.
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Experience developing accessible technologies.
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Experience with one or more of the following: data analysis, big data, f1-sql, log analysis, machine learning.
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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
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