Top Tech Jobs & Startup Jobs

Leads software and data engineering teams building scalable data products and analytics capabilities for real-time and batch decision-making. Responsibilities include talent development, data platform design and delivery, data access patterns, platform modernization, stakeholder alignment, roadmap execution, reliability, security, compliance, observability, and continuous improvement.

Designs data-driven B2B and B2B2C product experiences, including dashboards, web and mobile applications, chatbots, and voice interfaces. Responsibilities include user-centered design, personas and journey mapping, rapid prototyping, design workshops, visual mockups, design systems, conceptual exploration, and collaboration with product, technology, marketing, and regional teams. Requires balancing business objectives with user engagement and designing for diverse global users.

Designs data-driven digital products, prototypes, dashboards, applications, and interfaces across web, mobile, wearable, and IoT form factors. Leads user-centered design, Design Thinking workshops, personas, journeys, information architecture, visual design, and iterative user testing. Collaborates with product, technology, marketing, regional, and client teams to create usable experiences informed by data, AI, and machine learning.

Manages software engineering teams and owns end-to-end delivery of analytics and business intelligence solutions. Responsibilities include people management, technical strategy, architecture and system design, code and deliverable reviews, quality and security oversight, technical debt management, innovation, stakeholder coordination, and Agile delivery. The role requires expertise in React.js, .NET, AWS, databases, Hadoop, Spark, Databricks, big-data analytics, CI/CD, DevOps, and automation.

Drive development of Mastercard offers and services with domestic and offshore merchants and issuers. Support Mastercard Loyalty Services, build business cases, consultative sales, and collaborate cross-functionally to deliver financial results.

Design, build, test, deploy, and maintain scalable, cloud-native microservices and REST APIs using Java and Spring Boot. Ensure performance, reliability, security (vulnerability remediation), observability, and CI/CD. Troubleshoot production issues, lead code reviews, influence architecture, and mentor junior engineers while collaborating across product, QA, security, and platform teams.

Lead complex, cross-functional technical programs across engineering teams, regions, vendors, and organizational boundaries. Establish program governance, delivery processes, operating rhythms, and scalable team onboarding models. Drive execution, resolve escalations, manage risks, communicate with senior leadership, and ensure technical solutions meet strategic goals. Operate independently in ambiguous, early-stage environments while improving delivery predictability and accountability.

Analyzes pricing, customer usage, financial models, and recurring revenue to identify revenue optimization opportunities across Mastercard’s Network Services portfolio. Supports pricing strategies, business cases, and revenue-generating initiatives while partnering with product, finance, sales, commercial, and regional teams. Translates complex analysis into actionable recommendations and drives stakeholder alignment across geographies.

Leads user experience, interaction, visual, and product experience design for data-driven digital products. Creates prototypes, MVPs, dashboards, applications, chatbots, and voice interfaces using human-centered design, Lean UX, and Design Thinking. Collaborates with customers, product managers, technology teams, marketing, and regional stakeholders to conduct research, iterate designs, maintain design patterns, and deliver accessible experiences across web, mobile, wearable, and IoT platforms.

Develop and operate scalable Azure platform capabilities using infrastructure as code and automation. Responsibilities include designing platform solutions, improving reliability and deployment velocity, managing Azure services across their lifecycle, troubleshooting complex systems, supporting incident response and postmortems, and applying cloud best practices for monitoring, logging, alerting, security, performance, and scalability.