Lead Software Engineer (backend / Platform – Agentic Ai)

Mastercard Mastercard · Fintech · Dublin 18, Dublin, Ireland · AI & Data

Lead Software Engineer for Mastercard's Agentic AI platform, focusing on developing high-performance, high-volume backend solutions for real-time AI-driven decisioning. The role involves full systems development lifecycle, mentoring engineers, ensuring operational excellence, and collaborating with stakeholders to deliver scalable and secure AI-powered products within the payments industry.

What you'd actually do

  1. Lead day to day systems development and maintenance activities of the team to meet service level agreements (SLAs) and create solutions with high level of innovation, cost effectiveness, high quality and faster time to market.
  2. Accountable for full systems development life cycle including creating high quality requirements documents, use-cases, design and other technical artifacts including but not limited to detailed test strategy/test design, performance benchmarking, release rollout and deployment plans, contingency/back-out plans, feasibility study, cost and time analysis and detailed estimates.
  3. Collaborate with Architects, fellow Leads, Developers, Business Analysts & Product Owners in Dublin & other Mastercard locations.
  4. Develop high-quality, secure, scalable and maintainable Java-based software solutions.
  5. Apply best practices for automated testing, automated code quality, automated delivery & automated monitoring.

Skills

Required

  • Java/JEE
  • Linux
  • shell scripting
  • Oracle

Nice to have

  • Agile SCRUM
  • UML documentation

What the JD emphasized

  • high performance
  • high volume
  • high quality
  • faster time to market
  • high level of innovation
  • cost effectiveness
  • secure
  • scalable
  • maintainable
  • automated testing
  • automated code quality
  • automated delivery
  • automated monitoring
  • high-energy
  • detail-oriented
  • proactive
  • function under pressure
  • independent environment
  • high degree of initiative
  • self-motivation
  • drive results
  • strong communication skills
  • strong relationship
  • collaborative skills
  • organizational skills
  • Willingness and ability to learn
  • challenging opportunities
  • matrix based diverse and geographically distributed project team
  • Deep knowledge of software development processes
  • agile processes
  • test driven development
  • design and development of complex, multi-tier software solutions
  • Mentor engineers
  • design reviews
  • code reviews
  • technical coaching
  • raise overall engineering quality
  • Own operational excellence for services
  • capacity planning
  • resiliency patterns
  • release governance
  • production readiness reviews
  • Partner with product, architecture, and risk/compliance stakeholders
  • ensure solutions meet enterprise requirements
  • security
  • privacy
  • auditability
  • Drive continuous improvement
  • automation
  • testing strategy
  • developer experience
  • measurable reduction of toil/incidents
  • unblocks teams
  • drives alignment
  • creates clarity
  • complex delivery contexts
  • Strong stakeholder management
  • crisp communication
  • technical and non-technical audiences
  • Sets the bar for engineering rigor
  • keeping delivery pragmatic
  • outcome-focused
  • Architecture decisions
  • reference patterns
  • service boundary definitions
  • Cross-team delivery plans
  • risk mitigation
  • Production readiness standards
  • reliability improvements
  • Mentorship outcomes
  • measurable improvements in quality/velocity
  • PCI standards

Other signals

  • AI driven decisioning
  • Agentic AI
  • AI models
  • platform development