Principal Software Engineer - Trust & Safety

Intuit is seeking a Principal Engineer to lead the technology vision and execution for our Trust & Safety organization. This role focuses on protecting customers, partners and products across multiple risk vectors including access and identity integrity, misuse of products and experiences, and regulatory and compliance needs.

You will drive the design and implementation of AI and data-driven trust and safety capabilities, signals, and decisioning systems that detect, prevent, and respond to risk at scale, while minimizing friction for trustworthy customers. You’ll partner with Product, Data Science, Security, Compliance, Risk and Operations to create end-to-end solutions that keep customers safe and enable Intuit to innovate with confidence.

• Contribute to the overall Trust & Safety architecture across multiple risk vectors and product offerings, with a focus on scalable and secure capabilities.
• Collaborate with other architects and senior engineers to design end-to-end technical solutions that protect access and identity, manage risk in critical flows, prevent misuse of products and support regulatory and compliance-oriented controls.
• Design and implement core services and decisioning components using Java (e.g., Spring/Spring Boot, microservices, event-driven architectures) in cloud-native environments.
• Partner with data science and ML teams to integrate models into production decision flows for risk scoring, classification, anomaly detection, and prioritization.
• Apply modern AI techniques, including LLM-based tools where appropriate, to automate triage and classification of risk-related events and content, working closely with ML and product partners.
• Help define evaluation strategies, metrics, and experimentation approaches to continuously improve protection effectiveness while minimizing friction for trustworthy customers.
• Contribute to the design of high-throughput, low-latency services and pipelines.
• Drive best practices for reliability, performance, observability, and operational excellence for safety-critical systems, including input into SLOs, alerting, runbooks, and on-call readiness.
• Ensure designs and implementations align with security, privacy, and regulatory expectations, advocating for secure-by-design and privacy-by-design principles.
• Identify and propose opportunities to standardize risk signals, services, and decisioning patterns across teams and product areas.
• Partner with product, engineering, and platform teams to influence roadmaps and ensure safety and risk controls are built into customer journeys from the start.
• Lead and participate in design reviews, architecture discussions, and technical decision-making for cross-team initiatives.
• Mentor and coach engineers on software engineering, system design, safety thinking, and operational rigor, helping to raise the technical bar across teams.
• Contribute to the definition, documentation, and adoption of standards, patterns, and best practices for Trust & Safety platforms and services.
• Participate in prototypes and proof-of-concepts for new safety capabilities and technologies, and support their evolution into robust, production-ready solutions.
• Provide thought leadership on industry trends in risk, abuse, identity, and AI safety, and share insights with the broader architecture and engineering community.
• Promote a culture of security-by-design and risk-awareness across engineering teams through influence, example, and collaboration.

• 10+ years of experience designing and building large-scale, distributed backend systems in production.
• Extensive hands-on experience with Java (JVM, Spring/Spring Boot, microservices, asynchronous and event-driven architectures).
• Experience working in domains related to risk, security, safety, identity, access, financial/transactional flows, content/interaction integrity, or compliance-oriented systems.
• Strong understanding of service and API design, performance optimization, concurrency, resiliency, and fault‑tolerant architectures.
• Experience building and operating cloud-native services on AWS, GCP, or equivalent (containers, Kubernetes, managed data stores, messaging/streaming…