Senior Software Engineer

Mastercard
Dublin, Mountain View
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 7+ yearsSkills: ["Java","Python","Kubernetes","AWS","Azure","GCP","React","Next.js","CI/CD","APIs","Distributed systems","LLMs","Generative AI","Agentic design patterns","Observability","Security"]

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.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Mastercard
Mastercard
2 months ago

Senior Software Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Status: 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
Glassdoor: 4.1
WebsiteLinkedInGlassdoor