Top Tech Jobs & Startup Jobs in NYC, NY

Leads the technical strategy and hands-on engineering for Capital One’s customer management platforms. Responsibilities include modernizing legacy systems into microservices and event-driven architectures, setting platform and API standards, building full-stack solutions, establishing SRE and engineering productivity functions, enabling experimentation and AI-powered product delivery, and mentoring senior technical leaders. The role leads more than 100 engineers while contributing directly to architecture, coding, system optimization, and operational excellence.

Leads technical vision, architecture, modernization, and engineering quality for scalable payment platforms. Designs cloud, data, microservice, event-driven, and multi-tenant systems; establishes API and coding standards; reviews critical code; mentors engineers; partners with leadership; and drives cross-domain technical initiatives.

Own product strategy and delivery for US Card platforms supporting recoveries, payments, servicing, disputes, fraud, and customer experiences. Responsibilities include modernizing data and legacy systems, defining roadmaps and MVPs, prioritizing backlogs, building business cases, managing risk controls, translating business needs into features and user stories, and leading cross-functional teams across technology, design, data, operations, and risk.

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.

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.

Leads the Customer Restrictions product team within Capital One’s Customer Data organization. Owns product strategy, roadmaps, scalable data capabilities, customer-focused digital solutions, and cross-functional execution. The role involves translating business needs into technology-driven products that improve fraud protection, accelerate customer fund access, and support enterprise-wide adoption. It also includes people leadership, stakeholder influence, complex problem-solving, risk mitigation, and developing team talent.

Lead technology projects and engineering teams developing full-stack, distributed microservices and cloud-based solutions. Provide technical leadership across Agile teams, define service boundaries and integration patterns, establish engineering standards, mentor developers, and improve system performance. Build and maintain applications using modern programming languages, databases, container orchestration, cloud platforms, APIs, CI/CD, infrastructure as code, automated testing, and observability. Drive technical strategy, refactoring, open-source adoption, and reduction of technical debt.

Leads technical vision, architecture, modernization, and engineering standards across complex domains. Designs scalable cloud, data, microservice, and event-driven systems; ensures implementation quality and operational performance. Partners with engineering and architecture leaders on platform strategy, mentors engineers, drives technical excellence, communicates best practices, and leads cross-divisional initiatives. The role requires hands-on software engineering, solution and enterprise architecture, cloud computing, data architecture, distributed systems, and extensive technical leadership experience.

Lead product strategy and development for deposit fraud decisioning, protecting customers from account takeover and scams. Collaborate with engineering, data science, design, operations, analysts, marketers, and business partners to build risk models, automated decisions, customer journeys, and human-intervention experiences. Drive testing, innovation, strategic alignment, and delivery of consumer-facing digital products across banking channels.

Leads technology projects and engineering teams developing full-stack, cloud-based solutions using distributed microservices. Provides technical direction, establishes engineering standards, mentors developers, partners with product managers and architects, and improves system performance and technical debt. Builds and maintains APIs, databases, cloud infrastructure, CI/CD pipelines, automated testing, and observability practices while influencing long-term technology strategy.