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Benefits & Perks
•Team events and activities
•401(k) matching
•Parental leave
•Flexible work arrangements
•Professional development budget
•Parental Leave
•Flexible Hours
•Learning
Required Skills
Python
JavaScript
Node.js
About the job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.
Easy SaaS team is building a core platform layer in GCP enabling all other teams to build managed SaaS services at scale.
This enables Service Producers teams both - inside Google - and outside (aiming external ISV/SaaS producers) to build SaaS Products, which can be deployed, upgraded and managed automatically, making those services a seamlessly integrated part of Google Cloud Platform, and running across our Central Google Cloud Platform, as well as on Google Distributed Clouds and other cloud environments. The growth of ecosystem of Managed Services in GCP is further accelerating the growth of the whole Google Cloud Platform (GCP), making Easy SaaS a critical part of Cloud’s success.
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
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Own the technical direction of a large part of Easy SaaS driving architecture, the external APIs etc.
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Ensure proper scalability (many of SaaS service producers are deploying millions of instances of their service) and reliability.
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Provide technical oversight over the delivery of projects and their quality.
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Work with key stakeholders and key customers both internally and externally (in cooperation with the product) to translate their needs and constraints into technical designs and technical roadmaps .
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Perform experiments, trying out various design, open source technologies in order to verify design assumptions, or test various solutions with customers.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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8 years of experience in C++, Java, GO.
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5 years of experience in designing scalable distributed systems, and designing APIs.
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Experience in building available systems and designing for resilience.
Preferred qualifications
- Experience in delivering cloud based products.
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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
3.7
25 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.4
Career
3.9
Management
2.8
68%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
63,375 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total / year
Base
-
Stock
-
Bonus
-
$150,298
$203,110
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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