Principal Software Engineer, Trust & Safety

Intuit; New York (NY); On-site; USD 261,000 - 353,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Benefits

Job summary

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

You will collaborate with Product, Data Science, Security, Compliance, Risk and Operations to create end-to-end solutions that keep customers safe while enabling innovation.

Qualifications

• 10+ years designing and building large-scale, distributed backend systems.
• Extensive hands-on experience with Java (JVM, Spring/Spring Boot, microservices).
• Experience with risk, security, safety, identity, access, or compliance systems.
• Strong API design, performance, concurrency, and fault-tolerance.
• Experience deploying cloud-native services on AWS, GCP or equivalent.
• Experience integrating ML models into production systems.

Responsibilities

• Contribute to Trust & Safety architecture across risk vectors and product offerings.
• Design end-to-end technical solutions for access, identity, risk, and compliance controls.
• Develop core services and decisioning components in Java in cloud-native environments.
• Partner with data science/ML teams to productionize models for risk scoring and classification.
• Apply AI/LLM techniques to automate risk triage and classification.
• Define evaluation metrics and experimentation to improve protection with minimal friction.
• Drive reliability, performance, observability, and operational excellence for safety-critical systems.
• Ensure security and privacy by design in architectures.

Skills

Java/Spring Boot

Distributed backend

Cloud-native AWS/GCP

ML integration

API design

Observability

Security best practices

Leadership mentoring

Cross-team collaboration

Architecture design

Education

BS/MS in CS/Engineering

Tools

Kafka/Kinesis

Kubernetes

Docker

Job description

Overview

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.

Overview

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.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Qualifications

• 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 platforms such as Kafka/Kinesis).
• Experience integrating ML models into production systems (e.g. serving, re‑training, post-production evaluation).
• Familiarity with modern AI/LLM tooling and patterns and how they can be applied to automation, classification, or workflow acceleration in safety/risk contexts.
• Strong skills in observability and operations: metrics, logs, traces, alerting, SLOs, and running always‑on, high‑availability services.
• Solid grounding in secure coding practices, authentication/authorization patterns, data protection, and privacy‑aware system design.
• Proven track record collaborating with Product, Data Science/ML and Business teams on complex initiatives.
• Experience influencing architecture and design across multiple teams, including participating in and leading design reviews and technical decision‑making.
• Demonstrated ability to mentor and coach other engineers in areas such as software engineering, system design, and operational excellence.
• Strong communication skills, ability to explain complex technical and security concepts to both technical and non‑technical stakeholders, including senior leaders.
• Comfortable working in a matrixed, globally distributed environment and driving progress in ambiguous problem spaces.
• Self‑directed, proactive, and outcome‑oriented, with a bias toward collaboration and long‑term, sustainable solutions.
• BS/MS in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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 $261,000 - $353,000