Top Engineering Jobs in New York City, NY

Build, optimize, and support enterprise Workday Extend applications and integrations using Studio, Orchestrate, APIs, Core Connectors, EIBs, and Workday Web Services. Responsibilities include application lifecycle management, integration modernization, automation, testing, security, monitoring, troubleshooting, architecture and code reviews, Agile delivery, stakeholder collaboration, technical debt reduction, and mentoring junior engineers. The role also contributes to reusable engineering practices, CI/CD, workflow improvements, and AI-assisted development.

Leads architecture, development, testing, implementation, and support of enterprise Workday applications using Workday Extend and integration technologies. Designs scalable frameworks, APIs, security models, automation, and engineering standards; mentors engineers and guides delivery across Agile teams. Partners with business, product, security, and engineering stakeholders to modernize HR technology, optimize workflows, resolve production issues, and improve platform reliability, efficiency, and employee experiences.

Lead the engineering strategy, architecture, execution, and organizational growth of Mastercard’s AI-native Decision Stream platform. Drive scalable distributed systems, cloud-native architecture, reliability, security, and technical excellence while partnering with Product, Architecture, AI, and Platform Engineering. Recruit and develop high-performing teams, establish engineering metrics, and deliver business outcomes across fraud, authentication, payments, and risk decisioning.

Define and advance Mastercard’s enterprise data architecture strategy across hybrid cloud and on-premises environments. Lead modernization of global data platforms, establish architecture standards, enable batch and real-time analytics, and promote Data Mesh and data-as-a-product capabilities. Ensure security, resiliency, governance, regulatory compliance, and scalability across AWS, Azure, and GCP. Advise executive stakeholders, evaluate emerging AI-enabled data technologies, and mentor global engineering teams.

Leads Mastercard’s enterprise data architecture strategy across hybrid cloud and on-premises environments. Defines secure, resilient, compliant architecture standards; modernizes legacy platforms across AWS, Azure, and GCP; and advances Data Mesh, real-time streaming, batch analytics, and AI-enabled data capabilities. Serves as a senior technical authority and executive advisor, evaluates emerging technologies, drives architecture governance, and mentors global engineering teams.

Lead and productize a unified Developer Workbench platform that integrates developer tools, CI/CD, AI-assisted coding, cloud development, testing, observability and governance. Define architecture and roadmap, drive adoption and metrics-driven improvements, build and lead a global engineering and platform organization, and partner with cross-functional stakeholders to ensure secure, scalable, and measurable developer experiences.