Top Software Engineer Jobs

As a Distinguished Engineer, you will lead technical initiatives at Capital One, collaborating with cross-functional teams to define technical strategies. Responsibilities include articulating technical visions, ensuring quality of designs, mentoring internal talent, and driving cloud-based solutions while promoting engineering excellence across teams.

Capital One is seeking a Senior Platform Engineer responsible for Strategy, Design, and Management of Corporate Email pipelines. The role involves implementing new features, resiliency efforts, and engineering work on email platforms in a Federally regulated environment. Key responsibilities include ownership of AWS services, support for Email Transport platforms, adherence to compliance controls, and strategic planning for end-user email experience. Preferred qualifications include experience with AWS, ProofPoint Email Protect platform, Financial Services DLP, network topology design, and Agile practices.

As a Distinguished Engineer in Data Engineering, you will lead innovations, drive technology solutions, ensure the adoption of best engineering practices, and mentor others. This role involves collaborating with cross-functional teams and establishing technical vision while contributing to the development of a cloud-based data ecosystem at Capital One, impacting customer experiences.

As a Senior Cloud Infrastructure Engineer at Capital One, you will support the engineering and development of AWS cloud infrastructure, deliver core infrastructure from code, enhance internal systems for CI/CD, and collaborate across teams. Responsibilities include managing APIs with Java and Springboot, automating infrastructure, and resolving complex issues in a cloud environment.

As a Senior Manager of Machine Learning Engineering, you'll design and implement machine learning applications while ensuring their performance and availability. You'll collaborate with cross-functional teams to solve business problems using ML, build optimized models, and maintain production systems, all while following best practices in AI development.

As a Senior Manager in Machine Learning Engineering, you will design, build, and deliver machine learning models and components while collaborating with product and data science teams. You'll oversee model training, deployment automation, and ensure compliance with best practices in AI. The role requires strong problem-solving skills and experience in cloud-based architecture and data-intensive solutions.

In this role, you will design and implement machine learning applications and systems at scale. You will collaborate with cross-functional teams to deliver ML models, build optimized data pipelines, and ensure the governance of models and adherence to best practices. Additionally, you will leverage cloud technologies to enhance ML applications and lead efforts in improving the infrastructure and performance of existing systems.