Staff Software Engineer

Intuit

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Quick summary

Work type: On-site
Location: New York, NY
Salary: $202,500–$274,000 / yr
Posted: 9 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $203k

This role $238k

$127k $290k

below market most similar roles pay here above market

This role pays more than 86% of similar roles. Most pay $183,323–$221,750 — the blue band above. At the midpoint, this role pays about $238k versus about $203k for comparable roles.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 219 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 198 roles with salary data.

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At a glance

TL;DR · Staff Software Engineer

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The Staff Software Engineer joins the Intuit Fintech team to shape the technology vision and development of the Fintech Risk Platform. This role involves designing and developing scalable software solutions to build robust risk and compliance capabilities while integrating intelligent applications. Day-to-day responsibilities include building data pipelines, implementing risk mitigation strategies, and driving the development of AI-enhanced applications. The position requires hands-on expertise with React for front-end development and Java and Spring Boot for back-end systems. Candidates must utilize GenAI frameworks like OpenAI, GPT-3/4, SageMaker, and Bedrock, alongside Python, SQL, and AWS cloud solutions. The work focuses on solving complex payment and risk challenges within the fintech ecosystem by leveraging advanced statistical models, risk analytics, and modern CI/CD and DevOps practices.

What does a Software Engineer earn in New York?

Median $216000 from 264 postings across 62 companies.

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Skills

Java Spring Boot React GenAI AWS Python SQL OpenAI GPT-3/4 SageMaker Bedrock CI/CD DevOps AI/ML Data Pipelines A/B Testing Data Visualization

What you'll do

Design and develop scalable software solutions using React for the front-end and Java/Spring Boot for the back-end.
Drive the development of AI-enhanced applications by leveraging GenAI concepts and frameworks.
Analyze and mitigate risks across the Fintech ecosystem by implementing robust compliance measures.
Utilize advanced statistical models and AI/ML techniques to power risk platform decision-making.
Build automated data pipelines and models for risk data to ensure consistency across Fintech systems.
Implement executive dashboards to monitor platform performance and define key analytics metrics.
Conduct A/B testing and experimentation to optimize platform efficiencies and drive informed decisions.

What we're looking for

Bachelor's degree in Computer Science, Engineering, or related technical field (Master's degree preferred) or equivalent work experience.
10+ years of professional experience in designing and developing software solutions.
Expertise in front-end technologies (React) and back-end frameworks (Java, Spring Boot).
Hands-on experience in GenAI concepts and frameworks like OpenAI, GPT-3/4, SageMaker, and Bedrock.
Prior experience in risk and compliance domains within financial platforms (preferred).
Strong knowledge of Fintech concepts, including payment systems, risk analytics, and compliance strategies.
Advanced proficiency in cloud solutions, particularly AWS, and familiarity with modern CI/CD and DevOps practices.
Expertise in scripting languages like Python and SQL, and frameworks for data visualization tools.

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