Capital One is looking to improve its internal platform that provides a 360-degree view of every business in the US, powered by state-of-the-art entity resolution capabilities. This platform ingests data from multiple third-party sources, uses machine learning models to identify unique businesses, and elevates the best information from those sources. The data is used to power marketing funnels and perform verifications, ultimately enabling business growth.
Requirements
- At least 7 years’ experience in software development
- At least 5 years’ experience in people management
- 10+ years’ of experience in software development
- 5+ years’ of experience in Agile practices
- 3+ years of experience in PySpark
- 5+ years of experience in Data Engineering
- 2+ years of experience in Machine Learning
Responsibilities
- Lead, manage and grow multiple teams of product focused software engineers
- Mentor and guide the professional and technical development of engineers on your team.
- Work with product managers to understand desired application capabilities and testing scenarios
- Continuously improve software engineering practices
- Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies
- Lead the craftsmanship, availability, resilience, and scalability of your solutions
- Lead efforts to deploy new and existing applications into AWS environments
Other
- Bachelor’s Degree
- Master’s Degree in Computer Science or a Master’s Degree in Software Engineering
- Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community
- Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity
- Work across to improve the velocity of your and other teams
