The Consumer Banking & Credit Cards team(s) are responsible for owning web shopping experiences across two of NerdWallet’s largest and most mission-critical verticals. Our mission is to create best-in-class, data-driven shopping experiences that help millions of users make smarter financial decisions. We build fast, intuitive, and highly optimized experiences that rank, perform, and scale, all while collaborating with business stakeholders, Paid Marketers and SEO strategists to drive measurable business impact. We use data to drive our decision making, running fast product-led experiments that deliver real business value, as well as contribute directly to the company’s strategic roadmap.
If you thrive on high-impact work, solving technical challenges, and shaping the future of financial shopping experiences on the web, this is the place for you.
We’re looking for a Full-Stack Staff Software Engineer who is both a technical leader and hands-on builder, someone who can drive technical excellence across the entire stack while collaborating with stakeholders to shape the future of our product offerings.
This is a true full-stack role, ideal for a pacesetter who leads by doing. You ship high-quality code, set the technical direction, and raise the bar for everyone around you. You’re equally comfortable building performant web experiences, designing scalable back-end systems, and collaborating on systems that power personalization and data-driven decision-making at scale. You embrace AI tools and modern engineering practices to move fast without sacrificing quality, and you bring that mindset to everything from Core Web Vitals (CWV) and technical SEO to back-end APIs and funnel experiences.
You’ll collaborate closely with engineering leadership to influence the engineering roadmap, contribute to best practices, and drive architectural projects that balance speed, scalability, and long-term maintainability. You’ll mentor engineers and foster a culture of technical excellence, ensuring both high-quality execution and fast iteration across the team.