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About Versapay 🚀
For growing businesses that need to accomplish more with less, Versapay’s Accounts Receivable Efficiency Suite simplifies the invoice-to-cash process by automating invoicing, facilitating B2B payments, and streamlining cash application with AI. Versapay integrates natively with top ERPs, while allowing businesses to collect with a self-serve payment portal and collaborate with customers and teammates to resolve what automation alone can’t. Owned by Great Hill Partners, Versapay’s employee base spans the U.S. and Canada with offices in Atlanta and Miami. With 10,000 customers and 5M+ companies transacting, Versapay facilitates 110M+ transactions and $170B+ in payments volume annually
Think you might be the next Veep to join? Read on!!
How you’ll make a huge impact here – and on your career:
This role is all about getting hands-on in designing & coding scalable and highly performant software with a smart, collaborative team. Reporting to our VP of Engineering, Chief Architect, you will participate in innovation research tracks like AI/ML, as well as developing our unified/enterprise product architecture including emphasis on cloud scale performance & scalability roadmap enhancements. You’ll also play a part in pairing, coaching, and mentoring fellow VEEPs (Versapay’s Empowered and Enabled People).
We’re interested to hear from individuals who are excited by designing and implementing modern cloud scale architecture/infrastructure processing hundreds of millions of transactions and billions in payment volumes.
What you'll do:
- Drive us forward: Design, develop, and test, product features satisfying business & technical requirements on time and on budget.
- Develop the big picture: Define & maintain architecture principles, patterns, and standards with particular attention to scalable, and high performing design.
- Get in the weeds: Triage and correct performance and/or data integrity concerns by reviewing & evaluating code, data patches, system logs, and process/memory/disk consumption utilization.
- Collaborate across teams: Partner with product managers/analysts, customer care, DevOps, and other engineers on features and support cases, supporting technical decision making, and leading work that affects more and more complex systems and critical areas of our application.
- Lead research: Provide critical R&D to help us continue to design for scale and reliability as we grow (and we’re growing).
- Coach and mentor: Provide guidance to junior-intermediate engineers on the team and others when possible.
What you'll bring to the team:
- Practical experience: Background in computer science engineering and at least 7 years in software engineering under your belt, having written enterprise scale software in an agile test-driven culture that has shipped to market. Experience specifically in Ruby/Rails/Sinatra is a big plus. Proven machine learning integration using traditional techniques and/or AutoML platforms.
- Deep expertise: Strong knowledge & practice in a variety of technology spanning, algorithms/data-structures, languages (e.g. Ruby, Java, Python, C#), databases (e.g. Postgres, Oracle, SQLServer), operating systems (e.g. Mac, Windows, *nix), and benchmarking tools/techniques. Demonstrated experience leveraging LLMs and LLM cloud providers (e.g. Azure OpenAI, AWS Bedrock) for productivity and product benefit.
- Communication: Able to effectively deliver written and verbal communications that are clear, compelling, to socialize ideas and get buy-in.
- Follow-through/execution: Excellent organizational skills, work ethic, and passion to deliver on commitments.
- Proactiveness and curiosity: Able to work effectively in a team with minimal supervision, using your knowledge to source and resolve problems.
- Related industry knowledge: Preferably, experience in the Payments Industry and/or PCI/DSS, would be a strong asset.
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What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
