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About Us
Move money. Make money. Finix is a full-stack acquirer processor, empowering businesses of all sizes with flexible, modern payment solutions. Processing billions of dollars annually, Finix enables SaaS, marketplace, and e-commerce platforms to accept payments, manage payouts, and onboard merchants seamlessly. With our no-code, low-code, and developer-friendly tools, businesses can get up and running in hours—not months.
Finix has raised over $175M, including a $75M Series C led by Acrew Capital, with participation from Lightspeed Venture Partners, Leap Global, American Express Ventures, Bain Capital Ventures, Homebrew, Inspired Capital, Sequoia Capital, Visa, and others.
About the role
The engineering team owns the delivery and stability of our product end to end. Since Finix serves as the complete payment platform of our customers’, our engineering team owns our customers’ ability to capture revenue. The Sr. Software Engineer role centers around envisioning superior technical solutions to our customers’ payment needs, leading its implementation and continuously ensuring reliable service to our customers. You will have broad autonomy and responsibility for formulating the best solution possible and working with your peers to deliver your vision. Finix is looking for a team member to join our engineering team who brings exceptional technical acumen, attention to detail, interest to grow and an obsession with building excellent, performing and scalable software.
You will
- Deep dive into our customers’ needs, and work with product management to define new services
- Own the technical vision, implementation, best practices and infrastructure within your domain
- Develop close relationships with product management and peer engineers
- Become an expert in your payments domain and mentor junior software engineers
- Proactively improve our architecture, frameworks, tooling, automation, and best practices
You are
- Experienced in designing, implementing, and testing superior software
- Comfortable continuously delivering code, infrastructure, tests and features to production
- Excited about finding new and better ways to make software reliable, scale and perform
- Obsessed with finding edge cases, understanding requirements and design implications
- Proactive in monitoring running systems and troubleshooting production issues
- Always looking for ways to grow, opportunities to mentor and collaborate with peers
You have
- Have 6+ years of experience building and designing systems with several lifecycles
- Extensive experience implementing secure APIs, highly available and observable services
- Led and mentored more junior software engineers
- Kept tight control on multiple competing priorities and have strong ability to multitask
- Raised the bar on every project you were involved in
Finix San Francisco, California, USA Office
71 Stevenson Street, San Francisco, CA, United States, 94105
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
