Top Tech Jobs & Startup Jobs

Designs, documents, implements, and supports internet infrastructure and platform solutions. Collaborates with application teams, users, architects, and engineers to define requirements, create technical architecture documents, resolve global availability and performance issues, and maintain secure, scalable systems. Responsibilities include technology evaluation, project leadership, performance tuning, capacity planning, configuration management, production monitoring, failover strategy, disaster recovery, and cloud architecture.

Designs and delivers internet infrastructure solutions for applications, platforms, and systems. Develops technical architecture documents, requirements, logical flows, and infrastructure models; resolves availability and performance issues; evaluates new technologies; supports regional projects; and implements, monitors, tunes, and maintains internet infrastructure. Requires expertise in web architecture, operating systems, networking, load balancers, firewall configuration, failover, disaster recovery, routing, cloud design, and security practices.

Leads technical product management for AI- and technology-enabled consulting solutions. Translates business needs into technical requirements, prioritized backlogs, delivery plans, and scalable product roadmaps. Partners with engineering, AI, data governance, security, compliance, sourcing, vendors, and consulting teams to integrate LLMs, AI services, agent frameworks, workflow engines, and knowledge bases. Facilitates requirements reviews, supports implementation, drives AI adoption, manages dependencies, and mentors junior team members.

Leads global sales operations and analytics, including pipeline governance, forecasting, performance reporting, KPI frameworks, and executive dashboards. Establishes scalable reporting standards, improves data integrity and commercial discipline, translates complex data into actionable recommendations, and influences cross-functional leaders across regions to improve business visibility, decision quality, and sales effectiveness.

Designs and leads development of a scalable AI platform supporting productivity, commercialization, agent orchestration, knowledge bases, and reusable AI capabilities across Mastercard Consulting. The role drives architecture, migrations, technical strategy, security, reliability, and performance while partnering with product, data, business, sourcing, and enterprise teams. Responsibilities include evaluating emerging technologies, guiding AI-enabled opportunity development, establishing engineering standards, mentoring teams, and delivering production-grade platforms for thousands of advisors and consultants.

Support the roadmap and lifecycle management of Mastercard’s emerging B2B data, analytics, and AI products. Partner with engineering, data science, design, CX, regional teams, and sales to execute products, make technical tradeoffs, ensure readiness, develop sales enablement materials, train stakeholders, and support customer conversations. Help establish product management disciplines and scale globally relevant solutions.

Designs, develops, and configures ServiceNow solutions focused on IT asset management, software licensing, hardware management, and IT operations. Customizes workflows, business rules, and UI policies; integrates ServiceNow with external systems through REST and SOAP APIs; maintains platform performance and best practices; and collaborates with product owners and stakeholders to gather requirements and deliver solutions.

Designs and delivers internet infrastructure architectures for applications, platforms, and systems. Develops technical architecture documents, logical flows, and system requirements; collaborates with stakeholders and engineering teams; resolves global infrastructure performance and availability issues; evaluates new technologies; supports load balancers, firewalls, routing, failover, cloud architecture, capacity planning, configuration management, and production stability.

Design and build a scalable, reusable AI platform for Mastercard’s consulting organization. Lead architecture, engineering strategy, migration, and implementation of agentic workflows, orchestration layers, knowledge bases, and AI productivity capabilities. Partner with product, data, security, compliance, sourcing, and business leaders to commercialize AI solutions, evaluate technical risks, establish reusable standards, and guide initiatives from incubation through scale. Mentor engineers and influence enterprise architecture, security, reliability, and performance decisions.

Provides independent second-line oversight of technology, security, operational resilience, and control risks across European markets. Maintains technology risk and control frameworks, reviews control design and effectiveness, monitors remediation, develops risk metrics and reporting, supports governance forums, and assists with regulatory examinations and submissions. Partners with global technology and security teams while ensuring alignment with regulatory requirements, enterprise risk frameworks, policies, standards, and approved risk appetite.