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트렌딩 기업

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채용Intuit

Staff Software Engineer-Full Stack San Diego, California

Intuit

Staff Software Engineer-Full Stack San Diego, California

Intuit

san diego

·

On-site

·

Full-time

·

2mo ago

보상

$184,500 - $250,000

복지 및 혜택

Equity

401(k)

필수 스킬

JavaScript

Java

SQL

NoSQL

System Design

Microservices

Kubernetes

AI Integration

LLM

We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a 'builder' mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems.

At Intuit, we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun.

Responsibilities

  • Drive significant technology initiatives end-to-end and across multiple layers of architecture
  • Architect and develop scalable applications or systems
  • Drive the design and implementation of durable and software solutions to solve critical customer problems that are scalable, secure, easy to maintain, and interact with numerous other systems
  • Provide recommendations and best practices for application development, platform development, and developer tools
  • Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies
  • Provide/inspire innovations that fuel the growth of Intuit as a whole and generate creative ideas for emerging business needs
  • Partner and work with global teams across time zones
  • Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives)
  • Proactively identify opportunities to enhance software applications with AI technology
  • Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
  • Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics
    Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Qualifications

  • BS/MS in Computer Science or related area or equivalent experience.
  • 9+ years of total experience delivering enterprise-class applications.
  • Solid foundation in writing scalable application code following best practices of accessibility, internationalization, and instrumentation.
  • Experience with cross-browser, cross-platform, and design constraints on the web and mobile.
  • Solid knowledge of algorithms and design patterns.
  • Proficiency with JavaScript application design and testing experience.
  • Proficiency in mid-tier languages like Java.
  • Experience with test automation: TDD, unit/integration/functional testing.
  • Experience with Relational Database Design and Implementation.
  • Interest in building CI/CD pipelines.
  • Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos, etc.
  • Strong experience with Databases design (SQL, NoSQL) and analytics.
  • Prior working experience in utility computing and/or cloud computing domain.
  • Experience building and deploying applications and services into cloud environments.
  • Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc
  • Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance
  • Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI
  • Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Southern California,CA: $184,500.00 - 250,000.00

총 조회수

0

총 지원 클릭 수

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모의 지원자 수

0

스크랩

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Intuit 소개

Intuit

Intuit

Public

Intuit provides financial software solutions to empower individuals and businesses.

10,001+

직원 수

Mountain View

본사 위치

$140B

기업 가치

리뷰

2.6

10개 리뷰

워라밸

3.5

보상

3.8

문화

3.2

커리어

3.4

경영진

2.8

35%

친구에게 추천

장점

Good benefits and compensation

Supportive team and leadership

Flexible schedule and work-life balance

단점

Inadequate training and software support

Poor management and lack of support

High expectations and micromanagement

연봉 정보

91개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Business Data Analyst

2개 리포트

$134,007

총 연봉

기본급

$116,528

주식

-

보너스

-

$123,571

$134,007

면접 경험

7개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

14%

경험

긍정 14%

보통 86%

부정 0%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Live Coding Interview

4

Case Study/Technical Assessment

5

Behavioral Interview

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Case Study

System Design