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Web Solutions Engineer

Google

Web Solutions Engineer

Google

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Parental leave

Team events and activities

Generous paid time off and holidays

Equity

Healthcare

Parental Leave

Required Skills

PostgreSQL

Node.js

JavaScript

About the job

As a Web Solutions Engineer, you will use your technical aptitude and design skills to analyze problems, provide elegant and scalable solutions to them, and identify and resolve dependencies. You will interact frequently and closely with our stakeholders from around the world, and across different functions, to identify pain points and devise innovative technical solutions. You will be developing software that enables business insight or scales business solutions.

In this role, you will have the opportunity to learn and grow inside Google. We need our engineers to be versatile and passionate to address new problems 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

  • Design and develop applications or tooling for Cloud Support.

  • Write and review detailed technical design documents. Monitor and enhance performance of applications and services.

  • Partner with Technical leads to build reliable and scalable features. Understand customer and agent issues and advocate for their needs with cross-functional teams.

  • Participate in engineering design discussions and code reviews with the team. Manage individual tasks/features priorities, deadlines and deliverables.

  • Apply AI tools effectively in own workflow and internal solution.

Minimum qualifications

  • Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.

  • 4 years of experience in software development.

  • Experience in programming with one or more of the follwoing: Java, Python, Go Lang, or TypeScript/JavaScript.

Preferred qualifications

  • Experience in using test frameworks, CRMs, and Billing systems, and with machine learning, data analysis, and data science.

  • Experience with unit testing, agile project development, bug and change management systems.

  • Familiarity with application-level data storage, retrieval, and analysis tools and concepts such as SQL, NoSQL, logs analysis, protocol buffers, and Map Reduce.

  • Ability to manage software development projects and prioritize tasks, combined with a passion for engineering excellence.

  • Ability to work across the stack: front-end, back-end, and integrations.

  • Excellent verbal and written communication skills.

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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

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