Top Tech Jobs & Startup Jobs

Lead a team building cloud-based, full-stack, microservices solutions using Java, Go, JavaScript and AWS. Mentor engineers, collaborate with product managers, drive technical direction, and deliver scalable containerized systems (Docker/Kubernetes) and database-backed services to meet regulatory and customer needs.

Lead customer experience analytics by translating ambiguous business questions into structured analyses, delivering executive insights and dashboards, partnering cross-functionally, shaping strategy, and managing multiple projects to drive growth, profitability, and merchant enablement across U.S. and Canadian markets.

Lead diverse technology projects, guide a team in building cloud-based solutions, mentor engineers, and stay updated on tech trends.

Lead design and deliver cloud-based data engineering solutions across Agile teams. Build, test, and support full-stack data systems using big data, streaming, and cloud technologies; mentor engineers and ensure high-performance, well-tested code.

As a Sr. Lead AI Engineer, you will design, develop, and manage AI software components, working with cross-functional teams to advance AI applications at Capital One.

As a Senior Lead Data Engineer, you'll lead a development team, design and implement data solutions using machine learning, distributed systems, and full-stack technologies, while collaborating with Agile teams and ensuring code quality.

The Senior Lead Software Engineer will lead diverse technology projects, mentor engineers, and deliver cloud-based solutions to meet regulatory needs.

Lead a team of developers in creating back-end solutions using Java and AWS. Collaborate with product managers and mentor junior engineers while implementing cloud-based services and microservices architecture.

Lead product design for Capital One's Premium Design team, crafting end-to-end, customer-centered card and lifestyle experiences. Drive design strategy, produce high-fidelity artifacts and prototypes, mentor junior designers, collaborate with product/tech/business partners, and apply research, data, and technical constraints to deliver inclusive, scalable solutions with measurable business impact.

Design, build, deploy, and maintain production-scale ML models and infrastructure. Collaborate with cross-functional Agile teams to create scalable data pipelines, leverage cloud and Kubernetes-based architectures, ensure CI/CD, model governance, monitoring, and responsible/explainable AI practices while leading and mentoring ML engineering efforts.