Staff Software Engineer - Credit Karma

Responsibilities

• Shape Platform Strategy: Own the technical vision and long-term viability of the Portal platform.
• 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.