• Lead, coach, and grow a team of 10 full-stack developers across Node.js services and Salesforce customizations. • Drive measurable improvements in developer velocity using DORA metrics: lead time, deployment frequency, change failure rate, and MTTR. • Compress delivery schedules by breaking epics into small, independently shippable slices and challenging inflated estimates with data. • Architect end-to-end solutions spanning Node.js microservices, APIs, event-driven patterns, and Salesforce (Apex, Lightning, integrations). • Own solution performance: latency, throughput, scalability, and cost—set SLOs and hold the team accountable to them. • Establish estimation, sprint, and release discipline; remove blockers; enforce accountability without burning the team out. • Partner with Product, QA, and Infrastructure to align roadmap, capacity, and dependencies. • Recruit, onboard, and performance-manage engineers; build a culture of ownership and speed.

• Own the application engineering strategy and execution across backend, mobile, and desktop. • Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers. • Set the architectural direction for AI-powered product workflows, APIs, and client integrations. • Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes. • Partner closely with Machine Learning leadership to translate model capability into shippable product features. • Make high-impact decisions across latency, cost, reliability, security, and user experience. • Establish clear ownership boundaries across backend, mobile, and desktop to prevent architectural drift. • Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls. • Balance speed and discipline – shipping quickly without compromising long-term system quality.

• Define and drive the vision for resilience engineering at Affirm, with a focus on production load testing and chaos engineering as first-class engineering practices. • Lead and mentor a team of engineers building platforms and tooling for safe production experimentation. • Partner with infrastructure, product, and security leadership to embed resilience validation into the software development lifecycle. • Establish best practices for safely testing system limits and failure scenarios in production. • Own the design and evolution of platforms that enable safe, controlled production load testing and fault injection. • Ensure strong safeguards are in place, including isolation boundaries, approval workflows, and automated rollback mechanisms to protect real users. • Build systems that provide end-to-end observability, traceability, and auditability for all resilience experiments. • Drive reliability improvements by systematically identifying weaknesses through load testing and chaos experiments. • Establish monitoring, alerting, and incident response practices tailored to proactive resilience validation. • Work closely with engineering teams to design and execute production load tests and chaos experiments safely. • Partner with infrastructure teams to build guardrails around tests and experimentations. • Enable teams to adopt resilience practices by providing reusable tooling, frameworks, and standardized workflows. • Identify systemic weaknesses and lead cross-functional efforts to improve reliability and fault tolerance. • Evangelize a culture of “test failure before failure tests you” across the organization.

• Lead a team (or teams) of 5-10 engineers wholly responsible for a specific product vertical • Work with with PMs and Designers to develop and execute a roadmap for your team • Help your direct reports grow their careers via technical mentorship, one on ones, and reviews • Facilitate an independent, empowered, and high-performing team culture • Help grow the entire engineering org by interviewing and making hiring decisions