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Senior Software Engineer

MercuryRemote - Canada$201k - $251k+ Equity2w ago
RemoteSeniorNAFintechPaymentsSenior Software EngineerCoachingDue Diligence

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Requirements

• 5+ years of software engineering experience, preferably in Payments or Risk. • Agentic AI expertise—you’ve built and launched applied Agentic AI products that have had strong business impact, shipping them from 0→1 and scaling 1→10 in production environments. • Proven success building large-scale distributed systems, ideally involving 3rd party integrations and decision automation. • A mindset that balances urgency with craftsmanship: shipping fast, without cutting corners on quality engineering. • A track record of raising the bar for quality and operational excellence, balancing shipping speed with technical excellence and observability. • Creativity and adaptability — you think beyond the obvious and find solutions that move both product and business forward. • Strong communication and leadership skills—you can inspire other engineers and articulate tradeoffs to influence decisions across teams. • Experience with or curiosity about KYC, AML, risk, or compliance systems in financial services or fintech. • If this role interests you, we invite you to explore our public demo at demo.mercury.com. • The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. • Our target new hire base salary ranges for this role are the following: • US employees: $200,700 - $250,900 • Canadian employees: CAD $189,700 - $237,100

Responsibilities

• Drive AI Product Development in Risk: You’ll help shape the architecture and implementation of AI-powered risk systems—from application approvals to ongoing and enhanced due diligence—turning messy, ambiguous signals into clear outcomes. • Drive AI Product Development in Risk • Collaborate Across Functions: You’ll partner with Product, Design, Risk Strategy, Compliance, and Operations to translate evolving regulatory and operational needs into elegant, resilient software. And you’ll push the frontier of what’s possible when modern AI meets thoughtfully designed systems. • Collaborate Across Functions: • Lead Projects End-to-End: Drive technical projects from concept to production across the stack. Define solutions, analyze tradeoffs, make critical decisions, and deliver software that works today and is sustainable for tomorrow. • Lead Projects End-to-End: • Craftsmanship: Write clear, testable, and maintainable code. Establish patterns and best practices that your team can follow, ensuring long-term scalability and reliability. • Craftsmanship: • Drive Quality & Scalability: Design extensible platform systems that create leverage, make balanced decisions on tech debt, plan careful rollouts, and own the quality of your work through post-launch monitoring. • Drive Quality & Scalability: • Operational Excellence: Model a strong culture of operational excellence, holding a high bar for observability, reliability, and incident response. • Operational Excellence • Think Product, Not Just Code: Approach problems with a product mindset. You care as much about the business impact of what you build as the technical design. • Think Product, Not Just Code: • Mentor & Elevate: Coach engineers on your team by sharing patterns, practices, and critical thinking to raise the technical bar and foster a culture of sustainable engineering. • Mentor & Elevate:

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