Top Tech Jobs & Startup Jobs

Develop and advance Mastercard’s global immigration strategy, policies, governance, and compliance programs. Monitor regulatory changes, assess workforce impacts, and provide practical guidance on U.S. and international employment-based immigration. Lead cross-functional initiatives with HR, Legal, Talent Acquisition, and business leaders; manage immigration providers and technology partners; support audits, risk mitigation, reporting, workforce mobility, and program improvements.

Leads the design, development, and operation of enterprise AI and machine learning platforms across public and private clouds. Builds MLOps infrastructure, model deployment and inference services, observability, governance, automation, and data workflows. Troubleshoots complex platform issues, improves reliability and scalability, influences architecture, partners with cross-functional teams, evaluates emerging AI technologies, and mentors engineers.

Leads the design, development, and operation of enterprise AI platforms across public and private clouds. Responsibilities include MLOps, model deployment and inference, infrastructure automation, observability, monitoring, governance, reliability, incident response, and platform scalability. The role provides technical leadership, mentors engineers, influences architecture, supports AI adoption, and partners with security, infrastructure, risk, and governance teams to deliver secure and resilient machine learning and generative AI capabilities.

Leads the design, development, operation, and technical direction of enterprise AI and machine learning platforms across public and private clouds. Builds MLOps workflows, model training and inference infrastructure, observability, governance, automation, and secure platform services. Responsibilities include troubleshooting, incident response, architecture decisions, cross-functional collaboration, technical reviews, mentoring, and improving reliability, scalability, and developer enablement for generative AI and machine learning workloads.

Leads the design, development, and operation of enterprise AI platforms across public and private clouds. Builds scalable MLOps infrastructure for training, evaluation, deployment, inference, monitoring, governance, and lifecycle management. Responsibilities include platform architecture, automation, observability, reliability, incident response, security, and cross-functional technical leadership. The role also mentors engineers, supports adoption, evaluates emerging AI technologies, and advances generative AI, machine learning, and agentic AI capabilities.

Leads Mastercard’s global immigration strategy, policies, governance, regulatory intelligence, compliance, and workforce mobility programs. Advises stakeholders on U.S. and international work authorization, monitors regulatory developments, assesses business risks, and translates requirements into practical guidance. Partners with Legal, HR, Talent Acquisition, Global Mobility, vendors, and technology providers to improve processes, support audits, manage cross-functional initiatives, and deliver reporting, training, and communications.

Leads the architecture, design, development, and modernization of secure, scalable enterprise software and high-volume data systems. Collaborates with product and business stakeholders, evaluates technologies, ensures quality and compliance, supports metrics reporting, and contributes hands-on to engineering delivery. The role also mentors engineers and drives technical excellence across Mastercard’s payments-focused innovation initiatives.

Develop, test, deploy, monitor, and maintain Java and Spring Boot microservices supporting secure, scalable payment-processing systems. Build automation frameworks and validation tools, contribute to architecture and cloud migration, integrate testing and security into CI/CD pipelines, and improve performance, resilience, observability, and operational readiness. Diagnose production issues, manage releases, conduct code reviews, and collaborate with engineering, architecture, product, and operations teams.

Owns software capitalization activities, evaluating technology initiatives for accounting eligibility under ASC 350-40. Partners with Technology, Finance, and Controllership teams; manages budgeting, forecasting, reporting, risk analysis, and process improvements. Provides financial insights, maintains tracking reports, resolves complex business and data-quality issues, and translates technical initiatives into financial impacts. Requires strong analytical, communication, judgment, and stakeholder-management skills, with proficiency in Excel and PowerPoint.

Leads a platform engineering team responsible for scalable, secure, and resilient cloud infrastructure, Kubernetes environments, CI/CD pipelines, Infrastructure as Code, distributed systems, microservices, and core IT infrastructure. Provides technical direction, drives automation and observability, supports security and cost optimization, partners with application teams, and develops engineering talent through coaching, hiring, and performance management.