About Bluevine

Bluevine is on a mission to enable a better financial future for small business owners through innovative banking solutions designed just for them. By combining best-in-class technology with advanced security and a deep understanding of the small business community, we deliver end-to-end banking and lending products that empower always-on entrepreneurs to grow their businesses with confidence.

As a dynamic company with massive potential, we’re backed by leading investors such as Lightspeed Venture Partners, Menlo Ventures, 83North, Citi Ventures, and nearly 9 years of proven success. Since launching in 2013, we have grown exponentially, amassing over 400,000 customers across all 50 states and a global team of more than 500 people. Our passion is driven by purpose: to give small businesses the tools they need to succeed and we’re just getting started.

All of this begins with our team who are driven by collaboration, problem-solving, and learning and growing together. With a commitment to innovation and community impact, our mission is to help every small business—and every team member—thrive. Join us!

WHAT YOU'LL DO:

• Support Bluevine’s business and research teams by designing and developing data-centric infrastructure tools to facilitate and enhance both real-time and offline processes, providing first-in-class data solutions for the financial sector.
• Design, implement and integrate Bluevine’s next-generation ML platform using AWS infrastructure such as Sagemaker (Feature Store, Feature Processors, Pipelines, etc.), Glue, Spark/EMR, and more.
• Design and implement advanced ML workloads, focusing on modern, efficient Big Data technologies
• Design and develop end-to-end data pipelines, from data collection through data validation and transformation to making the data available to processes and stakeholders
• Work closely with Bluevine’s Data Science and Data Analytics teams
• Work closely with Bluevine’s R&D teams to help incorporate industry best practices, define and enforce data governance procedures, and monitor system performance
  
  

WHAT WE LOOK FOR:

• 8+ years of experience as Software Engineer/Big-Data developer/ML Infra Engineer in a fast-paced production environment
• 4+ years of hands-on experience programming in Python
• Experience with the AWS ecosystem with deep knowledge of SageMaker services
• Experience with Big Data frameworks (such as Flink, Spark, Hadoop, etc.)
• Communication skills, ability to collaborate smoothly with and convey complex ideas in a clear way to people of different backgrounds.
• Ability to quickly and independently learn new technologies, frameworks, and algorithms.
• Proactivity, result-driven and multi-tasker abilities; creativity and ability to meet deadlines.
• Very good English, written and verbal.
  
  

Bonus points if you also have:

• BSc/BA in Computer Science or related field
• Experience with container technologies (e.g. Docker, K8s)
• Experience with streaming and real time analytics systems
• Experience with Python Data/ML libraries (e.g. Pandas, Numpy, Scikit Learn)
  
  

Benefits & Perks

• Excellent group health coverage and life insurance benefits
• Stock options
• Flexible hybrid work model
• Large Study Fund contribution
• Salary Benchmarks and Checkpoints
• Monthly meal card of TenBis or CiBus (your choice) with generous balance
• Free parking for cars, scooters, and bikes
• Free gym membership
• Company-sponsored Mental Health Benefits
• PTO, Company Holidays, and Flexible Holidays
• Community-based volunteering opportunities