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: 8 hours agoStatus: Live

Job Summary

Lead the design and delivery of secure, scalable, AI-powered agentic applications and cloud-native services. Collaborate with Applied AI, Data Science, Product, Security, and Platform teams to move from concept to production, shaping architecture, patterns, and roadmaps for scalable enterprise solutions.

Location: Dublin, Mountain View

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

•Strong software engineering experience building scalable, secure, maintainable production systems including leadership of complex technical initiatives end to end
•Hands-on experience building and shipping AI-powered products or agentic applications using LLMs, orchestration frameworks, tool-calling patterns, retrieval, and context-aware workflows
•Experience building services in cloud-native environments using Kubernetes and managed cloud services on AWS, Azure, or GCP
•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
•Excellent collaboration and communication skills, with experience influencing across engineering, product, data science, and leadership stakeholders

Experience:PaymentsFintechFinancial services

Skills:JavaPythonReactNext.jsKubernetesDockerAWSAzureGCPCI/CDDevSecOpsAPIsDistributed systemsObservabilitySecurityLLMsTool-callingRetrievalMemoryContexts

Languages:English

Tech Stack:JavaPythonReactNext.jsKubernetesDockerAWSAzureGCPCI/CDDevSecOpsAPIsLLMsAIObservabilityDistributed SystemsSecurityTool-callingOrchestration

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: 8 hours agoStatus: Live

Job Summary

Location: Dublin, Mountain View

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

•Strong software engineering experience building scalable, secure, maintainable production systems including leadership of complex technical initiatives end to end
•Hands-on experience building and shipping AI-powered products or agentic applications using LLMs, orchestration frameworks, tool-calling patterns, retrieval, and context-aware workflows
•Experience building services in cloud-native environments using Kubernetes and managed cloud services on AWS, Azure, or GCP
•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
•Excellent collaboration and communication skills, with experience influencing across engineering, product, data science, and leadership stakeholders

Experience:PaymentsFintechFinancial services

Skills:JavaPythonReactNext.jsKubernetesDockerAWSAzureGCPCI/CDDevSecOpsAPIsDistributed systemsObservabilitySecurityLLMsTool-callingRetrievalMemoryContexts

Languages:English

Tech Stack:JavaPythonReactNext.jsKubernetesDockerAWSAzureGCPCI/CDDevSecOpsAPIsLLMsAIObservabilityDistributed SystemsSecurityTool-callingOrchestration

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