Staff Software Engineer - Credit Karma

Intuit

Bay City (MI)

On-site

USD 120,000 - 180,000

Full time

2 days ago
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Job summary

Intuit Portals team is seeking a Senior Software Engineer to own a real-time personalization system powering what members see in the app. You will influence architectural decisions across the Portal platform and collaborate with multiple product teams to deliver high-impact features.

The role emphasizes building scalable microservices, fast data pipelines, and AI-enabled content selection, with a focus on performance, reliability, and cross-team collaboration.

Qualifications

  • 7+ years delivering enterprise-class applications with backend focus.
  • Proficient in TypeScript, Java, or Scala.
  • Experience with microservices, containers, and IaC (Terraform).
  • Relational and NoSQL databases; ORM and high-volume data pipelines.
  • Experience integrating AI models in production.

Responsibilities

  • Shape Platform Strategy: own technical vision and long-term viability of Portal platform for real-time personalization.
  • Evolve the Targeting Engine: design scalable real-time rules and logic with millisecond response times.
  • Drive AI-Native Innovation: integrate GenAI and ML into content personalization patterns.
  • Orchestrate complex initiatives end-to-end across systems and layers.
  • Empower teams with reusable tools, testing infra, and deployment workflows.
  • Elevate engineering talent through design reviews and mentoring.
  • Solve systemic gaps by addressing technical debt and tooling deficiencies.

Skills

TypeScript
Java
Scala
Microservices
APIs
CI/CD
TDD/Testing
OO Programming
AI integration

Education

BS/MS in Computer Science, Engineering, or related field

Tools

Kubernetes
Docker
Terraform
GraphQL
Node.js

Job description

Overview

The Portals team sits at the heart of how Intuit Credit Karma delivers personalized experiences to its members. As a Senior Software Engineer on this team, you'll own the system that decides — in real time — what each member sees when they open the app. That means working on problems that directly impact millions of people and the financial decisions they make every day.

Overview

The Portals team sits at the heart of how Intuit Credit Karma delivers personalized experiences to its members. As a Senior Software Engineer on this team, you'll own the system that decides — in real time — what each member sees when they open the app. That means working on problems that directly impact millions of people and the financial decisions they make every day.

This is a high-leverage role where your work touches nearly every product team at Credit Karma. If a member gets shown the right offer at the right moment, there's a good chance the Portals platform made that happen.

Responsibilities
  • Shape Platform Strategy: Own the technical vision and long-term viability of the Portal platform that decides, in real time, what personalized content each Credit Karma member sees, tailored to their unique financial profile
  • Evolve the Targeting Engine: Lead the architectural design of our real-time rules and logic engine, ensuring it scales elegantly while maintaining millisecond-level response times on every app load.
  • Drive AI-Native Innovation: Champion the integration of GenAI and machine learning into the platform for smarter content selection and advanced personalization patterns.
  • Orchestrate Complex Initiatives: Drive high-impact tech initiatives end-to-end, sequencing complex dependencies and managing risks across multiple systems and layers of architecture.
  • Empower & Velocity-Proof Teams: Build reusable tools, testing infrastructure, and workflows that allow other product and marketing teams across the company to deploy changes faster and safer.
  • Elevate Engineering Talent: Provide clear goals, facilitate technical design reviews, and give actionable feedback to senior engineers so they can lead projects independently.
  • Solve Systemic Gaps: Partner closely with cross-functional leads and managers to systematically tackle technical debt, tooling deficiencies, and team skill gaps to continuously boost productivity.
Qualifications
  • Experience: 7+ years of experience delivering enterprise-class applications, with a strong focus on backend software development, API design, and robust client/server contracts.
  • Core Languages: Proficiency in mid-tier and backend functional languages, specifically TypeScript, Java , and/or Scala.
  • Architecture & Infrastructure: Deep expertise in designing scalable microservices architectures, messaging patterns, container management (Kubernetes, Docker), and infrastructure-as-code (Terraform).
  • Data & Database Design: Strong experience with relational database schema design, NoSQL, ORM concepts, and high-volume, low-latency data pipelining.
  • AI Integration Capabilities: Proficient in or highly capable of integrating and evaluating functional AI models (e.g., LLM prompting, personalization algorithms) in a production setting.
  • Foundational Excellence: Solid foundation in OOP, algorithms, web application internals, test automation (TDD, unit/integration testing), and CI/CD best practices.
  • Education: BS/MS in Computer Science, Engineering, or a related field, or equivalent practical experience.
Preferred Qualifications
  • Prior experience working with SaaS platforms or large-scale financial/experimentation platforms.
  • Experience with GraphQL and Node.js.
  • Proven track record of defining long‑term technical strategies and influencing engineering organization best practices.

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 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:

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