Top Tech Jobs & Startup Jobs

Owns product strategy, technical requirements, roadmaps, user research, delivery, and commercialization for Mastercard’s Portfolio Intelligence products. Partners with engineering, design, data, business development, customer experience, and third-party suppliers to prioritize capabilities, manage risks and dependencies, validate releases, improve customer value, and drive product activation, adoption, upsell, and cross-sell opportunities.

Build and operate MLOps pipelines, model deployment workflows, monitoring, governance, and CI/CD infrastructure for reliable AI services. Manage model registries, drift detection, canary and shadow releases, Databricks workloads, observability, cost controls, security, infrastructure as code, and incident response. Collaborate across engineering, data, and AI teams while making technical design decisions and supporting production model-serving systems.

Design, build, test, and maintain scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Collaborate with product managers, designers, customers, and global engineering teams to deliver complex features. Improve development processes, ensure code quality, mentor junior engineers, and develop innovative solutions for credit risk, portfolio optimization, and advertising analytics.

Design, build, and maintain scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Develop high-quality tested code, collaborate with product and design teams, mentor engineers, improve development processes, and deliver innovative solutions for financial analytics, credit risk, portfolio optimization, and marketing products.

Designs, builds, tests, and maintains scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Partners with product managers and designers to deliver customer-focused features, improves development processes, reviews code, and mentors junior engineers. The role requires collaboration across teams and geographies while supporting analytics products for credit risk, portfolio optimization, and advertising insights.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, orchestrations, and integrations; evaluate models and frameworks; develop prototypes to production; improve developer experience through automation and platform thinking; partner across product, engineering, and business stakeholders.

Lead design and delivery of data-driven automation and low-code solutions, manage project plans and stakeholder communications, optimize business processes, mentor junior engineers, and support Services product development and operations.

Develop and maintain scalable full-stack microservices using Java, Spring Boot, event-driven architecture, and cloud technologies. Apply SOLID principles, coding best practices, CI/CD, and appropriate persistence mechanisms. Collaborate across teams in an Agile environment, conduct proofs of concept, ensure code quality, and mentor junior developers.

Own roadmap execution and product requirements for Mastercard’s global disputes platform. Manage the agile backlog, define epics and user stories, prioritize capabilities, and partner with engineering, architecture, data science, operations, and regional stakeholders. Balance global platform consistency with localized market needs, support AI-powered automation, facilitate discovery, guide releases, monitor outcomes, and drive adoption and continuous improvement across markets.

Design, automate, and support secure, highly available AWS cloud platforms using Terraform, Amazon EKS, Kubernetes, and Infrastructure as Code. Build reusable modules, machine images, CI/CD pipelines, monitoring systems, and operational tooling. Troubleshoot AWS, Linux, networking, and infrastructure issues during an on-call rotation. Implement security best practices, document architectures and runbooks, and collaborate with Engineering, Security, and Platform teams.