Staff Software Engineer, Experience

Paxos is on a mission to open the world’s financial system to everyone by enabling the instant movement of any asset, any time, in a trustworthy way. As a Staff Software Engineer on the Experience org, you will set architectural direction and drive cross-team initiatives that enhance customer onboarding and operational experiences.

Responsibilities:

• Define and implement technical strategy for Experience surfaces spanning institutional onboarding, identity and screening, dashboards, approvals, and developer APIs
• Architect core reusable services and patterns for workflows such as KYC/KYB, onboarding flows, dormancy and identity controls, maker‑checker approvals, notifications, and reporting, ensuring scalability, auditability, and regulatory compliance
• Lead cross‑team projects that improve performance, observability, security, and reliability for onboarding and dashboard flows
• Collaborate closely with staff engineers, tech leads, Product, Compliance, Finance, Data, and Operations to prioritize and sequence work that unlocks business‑line goals
• Mentor engineers across both teams, helping them grow in system design, execution, and ownership, and raising the technical bar for Experience as a whole

Requirements:

• 8+ years of experience building and scaling distributed systems in high-growth technology companies
• Proven experience working in the crypto / blockchain industry, with a solid understanding of key concepts, market landscape, and ecosystem participants
• Proven track record of leading complex technical initiatives from conception to delivery
• Deep expertise in designing and implementing large-scale, high-performance systems
• Strong experience with microservices architecture and cloud-native technologies
• Experience mentoring engineers and driving technical excellence across teams
• Excellent communication skills with the ability to influence technical decisions across the organization
• Track record of building automation systems and improving operational efficiency
• Demonstrated experience using AI tools to improve how you work
• Bachelor's degree in Computer Science or equivalent practical experience