Mastercard

1 month ago

Lead Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead hands-on architecture, design, and delivery of agentic AI-powered applications and platform capabilities. Drive production-ready AI systems, collaborate with Applied AI, Data Science, Product, Security, and Platform teams, and shape scalable cloud-native services with strong observability and governance.

Location: Mexico City

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead hands-on architecture, design, and implementation of agentic applications, AI-powered services, and platform capabilities from concept through production
•Define engineering patterns and best practices for production AI systems, including evaluation, monitoring, guardrails, resiliency, cost control, and rollback strategies
•Drive end-to-end software delivery across the SDLC, from discovery and prototyping to testing, release, and production operations
•Use engineering tools to accelerate design, coding, testing, documentation, troubleshooting, and delivery while maintaining strong engineering judgment and code quality standards
•Champion an AI-enabled SDLC by improving developer workflows, automation, test generation, code review quality, release confidence, and team productivity

Key Requirements

•Bachelor’s degree in computer science, Software Engineering, or a related technical field; advanced degree preferred, with +10 years of software engineering experience leading complex technical initiatives
•Hands-on experience building and shipping AI-powered products or agentic applications using LLMs, orchestration frameworks, tool-calling patterns, retrieval, and context-aware workflows
•Strong programming skills in one or more backend languages such as Java or Python, with the ability to write high-quality, well-tested, production-ready code
•Experience with modern AI frameworks, SDKs, and tooling for building AI applications, agent workflows, and developer productivity use cases
•Experience building services in cloud-native environments using Kubernetes and managed cloud services on AWS, Azure, or GCP

Experience:10+ yearsAICloud-nativeLLMsAgentic

Education:Bachelor's

Skills:JavaPythonReactNext.jsKubernetesAWSAzureGCPLLMsSecurityCI/CDObservabilityDistributed systems

Tech Stack:JavaPythonReactNext.jsKubernetesAWSAzureGCPLLMsCI/CDSecurity

Company Brief

Mastercard

Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

1 month ago

Lead Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Mexico City

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead hands-on architecture, design, and implementation of agentic applications, AI-powered services, and platform capabilities from concept through production
•Define engineering patterns and best practices for production AI systems, including evaluation, monitoring, guardrails, resiliency, cost control, and rollback strategies
•Drive end-to-end software delivery across the SDLC, from discovery and prototyping to testing, release, and production operations
•Use engineering tools to accelerate design, coding, testing, documentation, troubleshooting, and delivery while maintaining strong engineering judgment and code quality standards
•Champion an AI-enabled SDLC by improving developer workflows, automation, test generation, code review quality, release confidence, and team productivity

Key Requirements

•Bachelor’s degree in computer science, Software Engineering, or a related technical field; advanced degree preferred, with +10 years of software engineering experience leading complex technical initiatives
•Hands-on experience building and shipping AI-powered products or agentic applications using LLMs, orchestration frameworks, tool-calling patterns, retrieval, and context-aware workflows
•Strong programming skills in one or more backend languages such as Java or Python, with the ability to write high-quality, well-tested, production-ready code
•Experience with modern AI frameworks, SDKs, and tooling for building AI applications, agent workflows, and developer productivity use cases
•Experience building services in cloud-native environments using Kubernetes and managed cloud services on AWS, Azure, or GCP

Experience:10+ yearsAICloud-nativeLLMsAgentic

Education:Bachelor's

Skills:JavaPythonReactNext.jsKubernetesAWSAzureGCPLLMsSecurityCI/CDObservabilityDistributed systems

Tech Stack:JavaPythonReactNext.jsKubernetesAWSAzureGCPLLMsCI/CDSecurity

Company Brief

Mastercard

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor