Top Software Engineer Jobs

As a Senior Software Engineer, Android at Capital One, you'll develop Android client solutions, collaborate with teams to enhance customer experiences, mentor junior developers, and lead delivery of major components while ensuring best practices in mobile development.

As a Senior Full Stack Software Engineer at Capital One, you will design, develop, and support technical solutions. You'll collaborate with Agile teams to deliver robust cloud-based solutions and mentor fellow engineers while exploring new technologies to solve complex problems.

As a Senior Software Engineer at Capital One, you will collaborate with Agile teams to develop and support full-stack solutions, leverage emerging technologies, work with cloud-based systems, and mentor fellow engineers, all aimed at delivering financial empowerment solutions.

The Lead Software Engineer at Capital One will enhance the developer experience by developing reliable software pipelines and automating testing tools. Responsibilities include building cloud-based solutions, collaborating with product managers, mentoring engineers, and staying updated on technology trends.

As a Principal Data Scientist at Capital One, you will lead the development of machine learning models to improve customer experiences and business outcomes. You will research and apply emerging technologies in AI, engage with business and product teams, and ensure robust operational integration of models to serve millions of customers.

As a Principal Data Scientist, you will leverage advanced machine learning techniques to build production-ready models and conduct research in AI, focusing on embedding and transformer models. You'll collaborate with product and engineering teams to analyze customer behavior and enhance business outcomes across various domains.

As a Principal Data Scientist at Capital One, you will lead the use of advanced machine learning and data science methods to drive business outcomes. Responsibilities include building ML models, collaborating with product teams, conducting experiments, and operationalizing solutions in production systems handling large datasets.