Top Tech Jobs & Startup Jobs

Leads the planning, architecture, design, and delivery of scalable, secure software solutions for global customers. Drives AI and emerging technology initiatives from research through production, champions automation across the software lifecycle, and collaborates with engineering, data, product, operations, and customer teams. Provides technical leadership for customer integrations, improves platform performance and reliability, and ensures solutions align with enterprise standards and business objectives.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, evaluate models and frameworks, develop integrations and automation, improve developer experience, and partner with stakeholders to prototype and scale AI solutions.

Leads the planning, architecture, development, and delivery of scalable software solutions for Mastercard’s Emerging Data Signals product. Drives AI and emerging-technology initiatives from research through production, champions automation across the delivery lifecycle, collaborates with global engineering and business teams, supports customer integrations, and provides technical leadership while ensuring security, resilience, performance, and maintainability.

Design, develop, test, and maintain secure backend services, REST APIs, integrations, and microservices. Collaborate with product, architecture, engineering, and data teams to deliver technical solutions. Participate in code reviews, CI/CD, testing, releases, monitoring, troubleshooting, and root-cause analysis. Improve reliability, automation, and operational readiness while following security, privacy, and compliance standards.

Supports production applications by monitoring alerts, responding to incidents, improving system reliability, and reducing recovery time. Builds and maintains CI/CD pipelines, automates operational processes, supports deployments across environments, and validates software releases. Analyzes ITSM activities, monitors service health, participates in blameless postmortems, troubleshoots web applications and distributed systems, and collaborates with global development, operations, and product teams.

Leads strategy and transformation consulting engagements for global clients, developing data- and technology-enabled strategies, managing stakeholder relationships, guiding project delivery, and presenting recommendations. Responsibilities include team leadership, coaching junior consultants, business development, proposal development, client relationship management, and collaboration with internal product and business development teams.

Develops production-ready agentic AI systems and scalable integrations using AI-first software engineering practices. Designs multi-agent workflows, evaluates AI models, applies emerging standards, and works across the full software development lifecycle. The role also includes developer advocacy through demos, workshops, thought leadership, and executive presentations, while mentoring engineers and advancing code quality, developer experience, and innovation.

Monitor and respond to production alerts, troubleshoot distributed applications, support deployments and CI/CD pipelines, automate operational processes, improve system reliability, and participate in incident response and blameless postmortems. The role also measures service health, collaborates with global development and operations teams, provides operational feedback, and mentors junior colleagues while advancing DevOps practices.

Develop and maintain secure, scalable backend services, RESTful APIs, integrations, and microservices. Collaborate with product, architecture, engineering, and data teams to deliver technical solutions. Participate in design, coding, testing, code reviews, CI/CD, releases, monitoring, and production support. Troubleshoot issues, perform root cause analysis, apply secure coding practices, and improve automation, reliability, and operational readiness.

Build platform tooling, services, and reusable patterns to apply generative and agentic AI in production. Design AI-enabled applications, evaluate models and frameworks, improve developer workflows, and deliver prototypes to production while partnering with product and engineering stakeholders.