Rocket Money - Senior Full Stack Engineer, Premium
Requirements
• ACH and credit card payments experience • Payment processor experience: You have experience with Stripe, Apple IAP, or Google IAP • AI: You’ve found ways to responsibly use AI tools to accelerate exploration, implementation, debugging, and iteration while still maintaining high code quality and diligence standards.
Responsibilities
• Build and ship Premium management features across Stripe, in-app purchases (Apple IAP / Google IAP), credit card payment flows, and post-purchase lifecycle management. • Own projects end-to-end: problem definition, technical design, implementation, rollout, and ongoing reliability. • Partner closely with our product partners, data teams, and operations partners to create systems that are safe, scalable, and pleasant to use. • safe, scalable, and pleasant to use • Improve reliability and observability across critical workflows by instrumenting services, debugging production issues, and raising engineering standards. • reliability and observability • Write clear design docs and RFCs, participate in code reviews, and contribute to a culture of thoughtful feedback and continuous improvement. • Drive technical direction: propose architectures, evaluate tradeoffs, and influence the team’s product and technical roadmap. • Mentor and unblock others: coach mid-level engineers, pair on tricky problems, and share best practices. • You have 7+ years of professional experience working with some combination of Node.js/TypeScript, React (or similar framework), Postgres (or similar relational database), and asynchronous queuing systems like SQS. Experience with GraphQL is a plus. • You're not just interested in what you're building, but also why you're building it. You want to see the bigger picture of how the software you‘re building is benefitting our users. • You are highly autonomous. You can take an ambiguous problem, align with stakeholders, and drive it to a reliable production outcome. • You are data-driven: You define success metrics up front, instrument what needs to be measured, and apply a working knowledge of analytics to interpret experiment results so that we can be confident in our product decisions. • You want to use the best tools for the job, including AI tools. • You’re effective in a large organization, building trust across teams, untangling ownership and dependencies, and maintaining momentum from ambiguity through execution. • You understand how observability impacts reliability and enjoy digging into the details to solve performance, data accuracy, and user experience issues. • You have a collaborator’s mindset and dig deep to understand nuanced and multi-faceted problems and tenaciously break them down into tractable pieces. You love giving and receiving feedback, and considering new and novel ideas.
Benefits
• Health, Dental & Vision Plans • Long/Short Term Disability • Competitive Pay • Team Member Stock Purchasing Program (TMSPP) • Learning & Development Opportunities • Tuition Reimbursement • Daily Lunch, Snacks & Coffee (in-office only) • Commuter benefits (in-office only) • Additional Information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
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