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Google
Google

Organizing the world's information and making it universally accessible.

Staff Software Engineer, Google Cloud Migration

RoleEngineering
LevelStaff
WorkOn-site
TypeFull-time
Posted3 weeks ago
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  • Be part of the core team responsible for the architecture, technology, and implementation of the AI code modernization solutions.

  • Work closely with customers to understand legacy/mainframe modernization issues (working with customers and the field team) and translate these into a viable technical solution leveraging to be then driven to implementation.

  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers, and work closely with the various stakeholders such as customers, partners, sales, delivery, and product.

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.

As a Migration and Modernization Team Lead, you will be responsible for the architecture, technology and implementation of migration and modernization solutions to production. You will lead the technological side of multiple solutions that are developed in multiple engineering teams. You will understand customers migration and modernization issues working with customers and the Field team and translate these into a viable technical solution leveraging our own first-party solutions as well as third-party/partners solutions. You will be working with the various stakeholders such as customers, partners, sales, delivery, product and engineering teams.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.

  • Bachelor’s degree or equivalent practical experience.

  • 8 years of experience in software development.

  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.

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About Google

Google

Google

Public

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