Mastercard

1 month ago

Senior 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

Senior software engineer to design and implement scalable, AI-powered, agentic applications and engineering platforms. You’ll build production-grade systems leveraging AI capabilities, collaborate with product, data science, and engineering teams, and drive platform innovation, security, reliability, and developer productivity across Mastercard’s cloud-native environment.

Location: Dublin, Mountain View

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Design, build, and evolve intelligent, agentic applications and platform capabilities that solve meaningful business problems at scale
•Apply AI and agentic development patterns to improve engineering productivity across design, coding, testing, debugging, documentation, release engineering, and operational support
•Use modern tools and coding assistants to accelerate delivery while maintaining quality, security, reliability, and maintainability
•Partner with product, data science, and engineering teams to translate ideas into production-grade solutions with clear business impact
•Drive technical innovation by evaluating emerging tools, frameworks, and engineering practices, and identifying where they can create differentiated value

Key Requirements

•7+ years of strong software engineering experience building scalable, maintainable, production-grade systems
•Hands-on experience building applications or platforms using Generative AI, LLMs, or agentic design patterns
•Strong understanding of agent orchestration, tool use, prompt and context management, memory patterns, evaluation, and AI system design trade-offs
•Experience taking AI-enabled solutions from prototype to production with reliability, observability, latency, cost, security, and governance considerations
•Strong programming skills in one or more backend languages such as Java or Python, with production-ready code

Experience:7+ yearsPaymentsFintechFinancial services

Skills:JavaPythonKubernetesAWSAzureGCPReactNext.jsCI/CDAPIsDistributed systemsLLMsGenerative AIAgentic design patternsObservabilitySecurity

Languages:English

Tech Stack:JavaPythonKubernetesAWSAzureGCPReactNext.jsCI/CDAPIsDistributed systemsLLMsGenerative AI

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

Senior 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

•Design, build, and evolve intelligent, agentic applications and platform capabilities that solve meaningful business problems at scale
•Apply AI and agentic development patterns to improve engineering productivity across design, coding, testing, debugging, documentation, release engineering, and operational support
•Use modern tools and coding assistants to accelerate delivery while maintaining quality, security, reliability, and maintainability
•Partner with product, data science, and engineering teams to translate ideas into production-grade solutions with clear business impact
•Drive technical innovation by evaluating emerging tools, frameworks, and engineering practices, and identifying where they can create differentiated value

Key Requirements

•7+ years of strong software engineering experience building scalable, maintainable, production-grade systems
•Hands-on experience building applications or platforms using Generative AI, LLMs, or agentic design patterns
•Strong understanding of agent orchestration, tool use, prompt and context management, memory patterns, evaluation, and AI system design trade-offs
•Experience taking AI-enabled solutions from prototype to production with reliability, observability, latency, cost, security, and governance considerations
•Strong programming skills in one or more backend languages such as Java or Python, with production-ready code

Experience:7+ yearsPaymentsFintechFinancial services

Skills:JavaPythonKubernetesAWSAzureGCPReactNext.jsCI/CDAPIsDistributed systemsLLMsGenerative AIAgentic design patternsObservabilitySecurity

Languages:English

Tech Stack:JavaPythonKubernetesAWSAzureGCPReactNext.jsCI/CDAPIsDistributed systemsLLMsGenerative AI

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