Top Tech Jobs & Startup Jobs

Lead design and delivery of production-ready, secure, scalable agentic AI applications. Drive architecture, implementation, monitoring, and lifecycle management across SDLC. Mentor engineers, define platform patterns, integrate with enterprise systems, and ensure reliability, security, and governance for AI products.

Lead hands-on design and delivery of production AI/agentic applications and cloud-native services. Define engineering patterns for reliability, security, observability, and governance. Drive end-to-end delivery, mentor engineers, collaborate with Applied AI, Product, Security, and Platform teams, and shape technical roadmaps to scale AI-enabled products.

Lead Quality Engineering strategy and execution across full-stack, data, and ML systems. Build and manage a global QE organization, define automation and evaluation frameworks, own release quality gates, drive root-cause analysis, manage budget/vendor decisions, and hire and develop QE talent to ensure product reliability and customer experience.

Lead global Quality Engineering for CNPF products, define and execute QE strategy across full-stack, data and AI/ML systems, drive automation, release quality gates, root cause analysis, hiring and vendor decisions, and embed shift-left and shift-right practices to ensure reliability and customer experience.

Lead global Quality Engineering across full-stack and data/ML platforms: define QE strategy, drive test automation, embed shift-left/right practices, own release quality gates, manage incidents, budgets, vendors, and build a high-performing QE organization.

Lead strategy, architecture, and delivery of a production-scale data platform for agentic AI and analytics. Design lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and governance to ensure reliable, real-time, secure data for LLMs and analytics while managing and mentoring senior engineers.

Lead strategy, architecture, and delivery of Mastercard's data platform for analytics and agentic/GenAI products. Build lakehouse, streaming, retrieval, vector/feature stores and MCP servers. Ensure governance, lineage, data quality, observability, and secure AI consumption. Partner with Applied AI, Product, and Architecture; guide senior engineers and unblock complex technical problems.

Lead global Quality Engineering for CNPF products: define QE strategy, drive test automation, shift-left/shift-right practices, ensure data/ML and full-stack reliability, manage releases, root cause analysis, tooling, budget, and talent development.

Lead global Quality Engineering for CNPF products, defining QE strategy across full-stack, data/ML, and infrastructure. Build and manage teams, drive test automation, shift-left/right practices, establish AI/data quality frameworks, own release gates, conduct root-cause analyses, manage budgets/vendors, and represent QE externally.

Design and manage high-volume, low-latency decisioning infrastructure across public and private clouds. Build CI/CD pipelines, implement IaC, drive observability, optimize costs, and collaborate with global engineering teams to support real-time fraud and identity services.