Take AI-powered features to production and evaluate their impact on performance and customer outcomes with the right metrics.
Champion engineering quality: automated testing, CI/CD, observability, performance, security, accessibility, and internationalization.
Communicate clearly through crisp technical docs and design reviews, and partner across product, design, QE, and other engineering teams to deliver results.
Own quality through the full lifecycle, resolving issues across QA, pre-production, production, and post-release.
Qualifications
8+ years designing and developing online SaaS applications with full-stack expertise across front end and back end.
BS/MS in Computer Science or equivalent practical experience.
Strong back-end expertise in Java and/or Kotlin with Spring Boot (or comparable modern frameworks).
Strong front-end expertise with JavaScript, TypeScript, and React (or a comparable modern framework).
5+ years building and consuming web APIs (REST, and ideally gRPC and/or GraphQL) and designing service interfaces.
Deep command of the full software development lifecycle and the software design and architecture process.
Experience with automated testing and Test-Driven Development (TDD), and with CI/CD pipelines.
Strong technical leadership: setting direction, running design reviews, presenting, and serving as the cross-functional go-to person.
Excellent communication skills — able to explain complex technical topics to technical and non-technical audiences alike.
Experience working in Agile/Scrum teams.
Preferred / nice to have
Cloud-native development on AWS with microservices, containers, and Kubernetes.
Experience with event streaming (Kafka), search (Elasticsearch), and SQL/NoSQL database design.
Hands-on experience building or integrating AI/GenAI capabilities (e.g., LLM prompting, retrieval, model integration) and monitoring them in production.
Experience with observability and instrumentation (metrics, logging, tracing) for production services.
Business acumen — strategic thinking and the ability to connect engineering decisions to customer and business outcomes.
A track record of building strong teams: setting and evangelizing a vision, facilitative leadership, and attracting and growing talent.
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: New York $202,500 - $274,000
