Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We are looking for a seasoned Software Engineer to join the Intuit QBO Platform Performance Engineering team, focused on building highly scalable, low-latency systems that power mission-critical financial workflows. In this role, you will design and develop performance engineering frameworks, identify and resolve system bottlenecks, and drive platform-wide improvements in scalability, reliability, and efficiency. You will work deeply across cloud-native architectures, distributed systems, and automation, partnering closely with platform, and product teams. The ideal candidate brings 10+ years of software engineering experience, strong expertise in Python or Go, solid Java experience, and a proven track record of performance optimization in large-scale, cloud-based systems.

Responsibilities

Build automation using performance testing tools such as Gatling and Scala
Build automation to perform various operations on AWS using Python
Build AI/ML models to analyze performance results and recommend solutions
Build Data Seeding Framework for creating production-like datasets for testing
Create apps in Argo CD and other GitOps-based deployment models
Build scripts in Playwright or other UI/performance testing frameworks
Work with additional performance or UI test platforms
Build internal performance frameworks or tooling for platform teams
Debug and troubleshoot JVM, and infrastructure layers
Build CI/CD pipelines and other complex stages pipelines in Jenkins or other tools

Qualifications

10+ years of professional software engineering experience building and operating large-scale, distributed systems
Strong programming expertise in Python or Go, with solid Java development experience
Deep experience in performance engineering, including system scalability, latency optimization, and performance degradation analysis
Strong understanding of JVM fundamentals, including heap management, garbage collection, and JVM-related performance issues
Hands-on experience with AWS Cloud services in production environments
Strong experience deploying and operating applications on Kubernetes
Proven experience building and maintaining CI/CD pipelines using Jenkins
Expertise in automation across testing, performance validation, and deployment workflows
Experience with performance testing tools such as Gatling and Scala
Exposure to AI/ML systems or AI-enabled platforms, including performance considerations for AI-driven workloads (model inference latency, scalability, or cost optimization)
Strong knowledge of distributed systems, observability, and diagnosing production performance issues

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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 [1] 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: Bay Area California $ 202,500- 274,000 References Visible links 1. https://www.intuit.com/careers/benefits/full-time-employees/ Mountain View $202500 - $274000

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