Staff Software Engineer - Backend/Data/Machine Learning

About Us

We are the leading business payments network, with over 2.5 million members paying and getting paid over $50 billion per year.

We save companies more than 50% of the time typically spent on financial back-office operations by automating end-to-end processes.

We help businesses connect and do business by tying together finance and accounting programs, banks, customers, vendors, accounting professionals, and documents.

The company is the choice of 4 of the top 10 U.S. banks; leading accounting software providers QuickBooks Online and Xero;

and over 50 percent of the top 100 U.S. accounting firms. It is the only business payments solution partnered with the American Institute of CPAs (AICPA).

The recipient of more than 70 awards, we proudly received multiple PC Magazine's Editor's Choice Awards and CEO Rene Lacerte was recently recognized as an E&Y Entrepreneur of the Year.

Mission :

We are looking for a senior of staff level backend engineer to work on our core platform. If you are passionate about optimizing software, enjoy being hands on, excited to take a revolutionary product to new heights and enjoy technical challenges, this is the job for you! The position will be based out of our Palo Alto campus.

The candidate will be a member of the Software Engineering team and will be responsible for designing scalable products for our business payment network.

Proven experience in leading, scoping, designing and implementing optimization results is a must. Candidates should also have good communication, mentoring, and leadership skills.

Professional Experience / Background to be successful in this role :

• 5+ years of relevant experience
• Experience working on large scale, complex applications
• Expert-level knowledge of Java and Python
• Expertise in making step-function improvements in performance and scale of platforms
• Business acumen - able to leverage the platform to solve business problems
• Excellent teamwork and communication
• Ability to gain alignment across cross-functional boundaries
• Ability to challenge the norm and maturity to advocate for changes for the greater benefit of the business
• Product : passion for great products and building great experiences, Proven ability to take the product through all stages of development from concept to launch at scale.

Preferred

• 2 Years of minimum experience in machine learning with a broad understanding of unsupervised and supervised learning methods.
• Experience in applying and implementing machine learning algorithms and concepts such as : K-means Clustering (varieties), Gaussian distribution, decision tree, boosting, etc.
• Demonstrable to learn and apply theoretical models to solve real-world problems
• Experience in payment industry preferred but not required
• MS (PhD preferred) in Computer Science, Statistics, or related field

Competencies (Attributes needed to be successful in this role) :

• Functional / Technical Expertise
• Values
• Learning Abilities / Tech Savvy
• Communication
• Team Player

Expected Outcomes in 12 months :

• Designing and implementing elegant solutions to complex platform problems
• Enhancing our core application framework
• Bringing in knowledge of industry standard best practices and evolving our technology footprint.
• Enhancing our database and file storage tier using proven methodologies to achieve horizontal scale
• Prioritizing, designing and implementing critical platform projects
• Mentorship of engineers
• Adopting industry standards and best practices

Our Culture :

• Humble No ego
• Fun Celebrate the moments
• Authentic We are who we are
• Passionate Love what you do
• Dedicated To each other and the customer
3 days ago