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Build and lead cloud-based full-stack software solutions for Capital One’s Cloud Operations Resilience Engineering division. Responsibilities include developing distributed microservices and APIs, using Python, Go, databases, networking services, and AWS; leading technology projects and Agile teams; defining service architectures; improving observability, resilience, performance, and technical debt; mentoring engineers; and shaping long-term technology strategy.

Leads software engineering projects and developer teams building large-scale, cloud-native, distributed systems. Designs and implements full-stack solutions using Java, Python, AWS, microservices, databases, containers, and modern web technologies. Provides technical leadership, shapes architecture and platform roadmaps, mentors engineers, establishes engineering standards, and drives reliability, observability, performance, and cross-functional delivery.

Leads debit customer experience product management across card activation, engagement, and spend retention. Prioritizes opportunities, understands business drivers, partners with Design on customer research and UX, and works with technology teams to deliver digital products. The role requires cross-functional leadership, product strategy, execution excellence, customer-centered innovation, and people management.

Staff Full-stack Engineer responsible for defining technical vision, designing scalable cloud solutions, modernizing monoliths into microservices and event-driven platforms, and establishing architectural and API standards. The role provides hands-on technical leadership, mentors engineers, leads cross-domain initiatives, and advises on performance, scalability, operability, and data architecture. Candidates need extensive software engineering, cloud, distributed systems, database, networking, and architecture experience, along with expertise applying AI tools to improve development efficiency.

Leads technology projects and developer teams building full-stack, distributed microservices and cloud-based solutions. Provides technical leadership across Agile teams, establishes engineering standards, partners with architects on service design, reduces technical debt, improves performance, mentors engineers, and influences long-term technology strategy. The role uses modern programming languages, databases, AWS and other cloud platforms, containers, APIs, CI/CD, infrastructure as code, automated testing, and observability.

Conduct applied AI research and develop foundation models from design through training, evaluation, validation, and production deployment. Collaborate with data scientists, software engineers, machine learning engineers, and product managers to deliver scalable AI products. Lead research initiatives, evaluate emerging methods, optimize large-scale deep learning systems, and translate scientific findings into customer and business impact.

Lead software engineering projects and developers building full-stack, distributed microservices and cloud-based systems. Responsibilities include technical leadership across Agile teams, architecture collaboration, mentoring, technology evaluation, technical-debt reduction, performance optimization, and establishing development standards. The role uses multiple programming languages, cloud platforms, databases, containers, APIs, CI/CD, infrastructure as code, automated testing, observability, and AI-assisted development tools.

Build and lead full-stack software engineering initiatives using distributed microservices, cloud platforms, APIs, databases, and modern development frameworks. Lead technology projects and developers, establish engineering standards, mentor team members, improve system performance, reduce technical debt, and partner with product managers and architects. Deliver scalable solutions on AWS and influence technology strategy through emerging tools, automation, observability, and AI-assisted development.

Leads full-stack software engineering teams and portfolios, setting technical strategy, mentoring engineering leaders, and delivering large-scale distributed and cloud-native systems. Responsibilities include managing Agile teams, defining technology roadmaps, partnering with product and architecture leaders, driving enterprise alignment, overseeing architecture and implementation, and supporting succession planning. The role uses modern programming languages, cloud platforms, databases, containers, CI/CD, and automated testing while occasionally coding or reviewing code.

Leads a multi-team auto refinance operation, overseeing customer escalations, fraud operations, specialty operations, coaching, training, vendors, and customer experience. Manages three people leaders and approximately 40 associates while coordinating with external call center and funding agents. Develops operational strategy, process improvements, reporting, escalation frameworks, training programs, and associate development initiatives. Uses data and cross-functional partnerships to resolve customer and process issues, maintain fraud controls, improve performance, and support business decisions.