Top Software Engineer Jobs

The Senior Lead Engineer will design and build APIs and SDKs for AI models, working with the Enterprise AI team to enhance customer interactions through intelligent applications. Responsibilities include architecting core systems, monitoring API usage, and implementing AI safety measures.

As a SailPoint Engineer at Capital One, you will manage Identity Access Management via the SailPoint identity platform. Responsibilities include automating technology solutions, delivering software components, supporting new application onboarding, and collaborating with teams on project delivery and troubleshooting issues.

As a SailPoint Engineer at Capital One, you will work on the SailPoint identity platform for Identity Access Management, identify automation opportunities, support application rollouts, and ensure the delivery of software components. Responsibilities include troubleshooting, developing secure coding practices, and collaborating with tech leads.

As a Senior Associate SailPoint Engineer, you will work with SailPoint Identity platform to manage Identity Access Management, identify automation opportunities, build relationships with stakeholders, provide updates on project progress, automate tests, and support application rollouts. You'll also troubleshoot issues and assist in incident management processes.

The Senior Associate SailPoint Engineer will work on SailPoint Identity platform focusing on identity access management. Responsibilities include automating processes, troubleshooting, managing software delivery, and collaborating with team members to ensure effective solutions.

As a Senior Generative AI Engineer at Capital One, you will build and maintain APIs and SDKs for AI models, work with LLMs and FMs, and develop tools for monitoring API usage and operational health, all while ensuring AI safety and compliance. Your role will involve collaborating with a team of AI experts to enhance customer experiences through intelligent automation.

As a Senior Engineer in Generative AI Product Engineering, you'll design and implement machine learning applications, collaborate with cross-functional teams, and produce high-quality code. Key responsibilities include model building, data pipeline construction, and ensuring application performance while utilizing Agile practices and cloud technologies.