招聘

Staff Software Engineer, Cloud Memorystore
placeBengaluru, Karnataka, India
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Professional development budget
•Generous paid time off and holidays
•Comprehensive health, dental, and vision insurance
•Flexible work arrangements
•Competitive salary and equity package
•401(k) matching
•Learning
•Healthcare
•Flexible Hours
•Equity
Required Skills
PostgreSQL
Node.js
React
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.
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
-
Own and operate the Cloud Memorystore for redis/cloud Memorystore for valkey service.
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Raise the bar for reliability as the service scales. Work on the next set of investments for Memorystore all-up, collaborating closely with Redis and partner teams.
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Lead a team of highly skilled and capable engineers. Work with partner teams (e.g., Technical Program Manager/Program Manager/SRE/Engineering Productivity, etc.), to deliver on product goals.
-
Coach and guide team and fellow teams for long-term career success.
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Make strategic engineering decisions to grow the product and ensure successful customers.
Minimum qualifications
-
Bachelor's degree or equivalent practical experience.
-
8 years of experience programming in C++, Java, Go, or Python.
-
5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
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3 years of experience with software design and architecture.
Preferred qualifications
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Experience with one or more general purpose programming languages such as Java, C/C++, C#, Objective C, or Go.
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Experience in performance optimization/tuning.
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Experience in database design, large-scale distributed systems, Cloud APIs and caching.
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Familiarity with cloud services, redis open source and valkey.
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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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