Staff Software Engineer
Become a part of Intuit's 'Builder Catalysts' community as a Staff Software Engineer and contribute to our mission of powering global prosperity. Our Builder Catalysts are distinguished by their extreme ownership and co-creation with cross-functional partners throughout the entire product lifecycle from initial ideation and customer research to rapid experimentation and final execution.
We are searching for a highly influential, backend-anchored Staff Engineer to drive the next generation of Clickstream, the platform that captures, models, and serves behavioral signal across every Intuit surface. Behavioral data is the foundation for personalization, experimentation, growth analytics, and AI-native experiences; the instrumentation layer that produces it must be correct, complete, and effortless for hundreds of product teams to adopt.
You will own the backend-side capture experience end to end: the high-volume pipelines and streaming services, the event taxonomy that gives that data meaning, and the contract between upstream clients and the high-volume pipelines that move events downstream. This is a deep backend role focused on scaling distributed architecture, stream processing, and server-side data infrastructure. Getting that foundation right is the job.
Responsibilities
Drives the technical direction of a backend platform and the distributed services, pipelines, and developer-facing APIs that hundreds of product teams build on.
Owns the architecture of complex, highly scalable backend systems, data pipelines, streaming architectures, and microservices - making them easy to adopt, hard to misuse, and safe to evolve.
Sets the bar for backend craft: performance, scalability, reliability, data consistency, and maintainability of platform services that power core business capabilities.
Designs robust backend APIs and ingestion contracts that integrate cleanly with downstream data engines - owning how the backend processes, validates, and serves high-throughput data.
Drives significant technology initiatives end-to-end, including horizontal layers of the architecture, and contributes outside their primary area of ownership with a boundaryless mindset.
Partners with cross-functional teams to translate product and customer needs into durable technical solutions.
Creates robust, scalable, and secure technical designs, balancing short-term delivery with long-term durability, and ensuring high availability and optimal performance.
Applies AI pragmatically in the experiences being built and in how AI accelerates engineering work with a clear-eyed view of where it adds value.
Raises the engineering bar across teams through design reviews, mentorship, and technical influence.
Qualifications
8+ years building production software, with deep backend expertise and demonstrated impact at platform or architecture scale.
Expert-level command of modern backend development, with strong preference for Java ecosystem experience, plus deep understanding of distributed systems, concurrency, memory management, and high-throughput data processing.
Strong backend architectural fluency is required - not optional. You should be expert in reasoning about distributed systems, event streaming and pipelines, APIs, schemas, and delivery guarantees, while maintaining clear service boundary definitions.
Experience with high-volume event or analytics infrastructure e.g. clickstream/telemetry pipelines, streaming systems, or tools such as Segment, Amplitude, Kafka/EventBus-style buses, or equivalents.
Strong instinct for data quality, schema/taxonomy design, observability, and the failure modes of data capture at scale.
Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders and influencing without authority.
Hands-on experience applying AI/LLM tooling (e.g., Claude, ChatGPT) to engineering workflows, and familiarity with how behavioral data feeds AI-native product experiences.
Prior experience in a cloud computing environment (AWS/GCP) is highly desired.
BS/MS in Computer Science or a related field, or equivalent practical experience.
Nice to have
Mobile instrumentation experience (iOS/Android or React Native) is a plus.
Experience designing or owning SDKs, client libraries, or developer-facing platforms consumed by many internal teams.
Prior experience with privacy, consent, and data governance in a regulated environment is a plus.
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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.