Staff Software Engineer - Credit Karma
IntuitAbout the role
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.
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