Top Software Engineer Jobs

The role involves designing and implementing Amazon Connect features, collaborating to integrate systems, providing technical support, and optimizing contact center performance. You'll also maintain documentation, develop prototypes, and stay updated with AWS best practices while being part of a 24/7 Connect team for Capital One.

As a Lead Software Engineer at Capital One, you'll manage diverse technology projects while leading a team of developers to create solutions for regulatory needs. Your role will involve driving analytics, enhancing product design, and implementing large-scale machine learning systems in a fast-paced, collaborative environment.

As a Lead Machine Learning Engineer, you will focus on automating model governance, building optimized data pipelines, collaborating with cross-functional teams, leveraging cloud technologies, and advocating for best practices in software and machine learning engineering.

As a Distinguished Engineer, you will lead the Bank Tech organization at Capital One, driving innovation and optimizing technical solutions. You'll act as a trusted advisor, mentor talent, and collaborate on strategic tech discussions while focusing on quality, performance, and scalability in your projects.

As a Distinguished Engineer at Capital One, you will be part of a technical expert community defining the future of banking in the cloud. Responsibilities include articulating technical vision, problem-solving, ensuring quality of design and implementation, and mentoring tech community.

As a Distinguished Engineer at Capital One, you will lead the technical direction of banking technology in the cloud, providing mentorship and driving innovation. You will decompose complex problems, ensure technical quality, and develop patterns for cloud integration, simultaneously managing various projects while collaborating with technology leaders to shape strategy.

As a Principal Associate, Data Science at Capital One, you will partner with a cross-functional team to deliver customer-centric products, utilize a variety of technologies to uncover insights from large datasets, build machine learning models, and translate complex work into business goals. The ideal candidate is customer-first, innovative, technically skilled, statistically-minded, and a data guru. Basic qualifications include a Bachelor's Degree plus 5 years of experience in data analytics. Preferred qualifications include a Master's Degree in a STEM field plus 3 years of experience.