Top Software Engineer Jobs

As a Senior Manager of Data Engineering at Capital One, you will lead a team to design, develop, and implement technical solutions, focusing on data engineering and cloud-based solutions, while also managing team collaboration and mentoring.

Lead a team of developers on diverse technology projects focusing on machine learning and full stack systems, while delivering cloud-based solutions. Collaborate with product managers and mentor engineers, while driving technology transformation. Manage DevOps processes and ensure the implementation and delivery of infrastructure.

Collaborate with Agile teams to design, develop, test, and support technical solutions using full-stack development tools and technologies. Stay updated on tech trends, experiment with new technologies, and deliver cloud-based solutions to drive powerful experiences for customers. Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, along with various AWS tools and services.

Lead a team of developers to create solutions using distributed microservices and full stack systems, staying on top of tech trends and experimenting with new technologies.

Lead a team of developers to create solutions using distributed microservices and full stack systems. Stay updated on tech trends, experiment with new technologies, mentor team members, and collaborate with product managers to deliver cloud-based solutions for financial empowerment.

Collaborate with Agile teams to design, develop, test, and implement technical solutions using Java, Go, and AWS. Work on building a state-of-the-art software system for a key initiative within Capital One. Share tech trends, mentor team members, and deliver cloud-based solutions for financial empowerment.

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records. The role involves harnessing transformer model architectures, managing large-scale data annotation projects, collaborating with machine learning engineers, and leveraging a broad stack of technologies to automate workflows using huge volumes of text audio, and vision data.