Engineering Manager-Python & ML infrastructure
About Bluevine
Bluevine is transforming small business banking with innovative solutions like checking, lending, and credit—all tailored to help entrepreneurs thrive. With best-in-class technology, advanced security, and a deep understanding of the small business community, we’re empowering entrepreneurs to grow with confidence.
Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, we’ve been supporting SMBs since 2013, serving over 500,000 customers nationwide and growing a dynamic global team of 500 people. Our mission? To fuel small businesses with the financial tools they need to succeed.
At Bluevine, you’ll be part of a collaborative, fast-paced team that’s reshaping the future of banking. Ready to make an impact?
What You'll Do:
- Manage, lead and mentor a team of motivated, hardworking Python developers that support Bluevine’s business and research Data teams by designing and developing data-centric infrastructure tools to facilitate and enhance Data Analytics and Research, both in real-time and offline.
- Help design and implement next-generation ML workloads, focusing on modern, efficient Big Data technologies.
- Use pipeline orchestration tools such as AirFlow, ML platforms such as SageMaker, and data frameworks to design and develop first-in-class solutions for the financial sector.
- 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 other R&D teams to help incorporate industry best practices, define and enforce data governance procedures, and monitor system performance
- Work with stakeholders, group managers and team leaders on planning projects and tasks
- Guide team members through code reviews, design discussions, debugging sessions, etc.
- Balance between hands-on and managerial work depending on team’s needs
What We Look For:
- Bachelors/Masters in Computer Science or related field or comparable experience.
- 8+ years of full-time work experience (not including internships, study, personal/school projects) as a Backend engineer/ML Infra engineer in a fast-paced, data-centric environment.
- 5+ years hands-on experience programming in Python in a production setting (not including internships, study, personal/school projects).
- Experience with AWS ecosystem and container technology (e.g. Docker, K8S)
- Experience leading technical projects and/or working independently
- Exceptional communication skills, ability to collaborate smoothly with and convey complex ideas in a clear way to people of different backgrounds.
- Proactive, result-driven and multi-tasker; creative but committed to meeting deadlines.
- Quick learner with exceptional time management skills
- Excellent English, written and verbal.
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Benefits & Perks
- Excellent group health coverage and life insurance
- Stock options
- Hybrid work model
- Meal allowance
- Transportation assistance (terms and conditions apply)
- Generous paid time off plan, Holidays
- Company-sponsored mental health benefits
- Financial advisory services for both short- and long-term goals
- Learning and development opportunities to support career growth
- Community-based volunteering opportunities
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