{"id":2991302,"url":"https://alion.io/job/mastercard-lead-software-engineer-43","title":"Lead, Software Engineer","company":{"id":252,"name":"Mastercard","domain":"mastercard.com","url":"https://alion.io/company/mastercard","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":185,"ghost_share":0.027,"stale_share":0.4,"repost_share":0.092,"time_to_fill_p50_days":26,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":101000,"max_usd":216000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"AWS","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"FinOps","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-10-12T00:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-24T09:09:51Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Our Purpose\nMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.\nTitle and Summary\nLead, Software EngineerWho is Mastercard?Mastercard is a global technology company in the payments industry, building digital platforms that securely power commerce at global scale. Our technology enables innovation across financial services, data, AI, and digital experiences, while maintaining the highest standards of reliability, security, and trust.\nBusiness & Market Insights (B&MI) is Mastercard’s data, analytics, and intelligence organization, responsible for transforming vast global data assets into actionable insights and decision-support products for customers across industries. B&MI builds platforms and products that move beyond static analytics, embedding AI, advanced modelling, and increasingly agentic systems directly into customer workflows. Product, engineering, and data teams work together to deliver secure, governed, production-ready intelligence solutions that drive measurable business outcomes.\nRole Summary\nWe are looking for a Lead Engineer within our Advisors & Transformation group to help accelerate the transformation of consulting through AI and technology. Working closely with business, product, AI, data, and engineering partners, the Lead Engineer will translate platform strategy and architecture into secure, scalable, production-ready capabilities.\nThis is a hands-on technical lead role with also potential to lead a team of engineers either internally or vendor team. You will lead the design and delivery of reusable services, integrations, workflows, and developer capabilities for an AI platform that improves productivity across the consulting organization and supports the commercialization of AI-enabled consulting solutions.\nYou will help scale tools such as Claude, Copilot, and Cowork; implement agent orchestration and integration layers; extend AI knowledge-base capabilities; contribute to FinOps and TokenOps practices; and make reusable AI patterns, skills, and agents easier for engineering and consulting teams to adopt.\nRoles and Responsibilities\nAs a Lead Software Engineer, you will:\nLead hands on development of AI, agentic systems and support of scalable, reusable AI platform capabilities.\nHelp integrate large language models, AI services, agent frameworks, workflow engines, knowledge bases, and orchestration platforms.\nTurn target-state architecture and product priorities into clear technical designs, delivery plans, and working solutions.\nProvide day-to-day technical direction to junior engineers and vendors teams, reviewing code while maintaining accountability for delivery quality.\nBuild and integrate APIs, services, event-driven workflows, data pipelines, agent workflows, and user-facing platform capabilities.\nPartner with product, business, architecture, and engineering teams to refine requirements, identify dependencies, and deliver incremental value.\nSupport migration of existing components toward the future-state architecture while maintaining operational continuity.\nContribute to AI frameworks and agent workflows.\nIdentify technical risks early, challenge assumptions constructively, and recommend pragmatic trade-offs across build, buy, partner, and reuse options.\nMentor junior engineers, help strengthen engineering practices, and promote a culture of quality, collaboration, inclusion, and continuous learning.\nEnsure solutions align with Mastercard technology standards and expectations for architecture, security, privacy, compliance, reliability, and scale.\nRequired Skills and Experience\nWe are seeking an experienced Lead Engineer who combines strong software engineering fundamentals with hands-on technical leadership and a passion for applied AI, transformation, and business impact.\nBachelor’s degree in Computer Science, Engineering, or equivalent practical experience.\nStrong experience as a hands on AI engineer\nExperience with large scale data platforms and modern ML/AI tooling\nPrevious experience building AI platform in Advisory, Consultancy space a distinct advantage\nExperience building or integrating solutions that use LLMs, AI services, agent frameworks, workflow engines, orchestration platforms, vector search, retrieval-augmented generation, or related capabilities.\nUnderstanding of GenAI and agentic workflows, including prompt design, grounding, tool use, evaluation, guardrails, monitoring, and responsible AI considerations.\nFamiliarity with cloud and data technologies such as AWS EMR, Aurora, Databricks, and Snowflake, or comparable platforms used for data-intensive applications.\nSolid foundations in software engineering, system design, and distributed systems\nProfessional experience building and operating distributed, production-grade software systems, including substantial full-stack or back-end engineering experience in an agile delivery environment.\nStrong object-oriented design and programming skills, with a track record of creating reusable, maintainable, and scalable components.\nExperience leading technical delivery for a team or workstream, including design reviews, code reviews, engineering planning, mentoring, and production readiness.\nAbility to influence technical direction without formal people management responsibility\nStrong technical judgement and the ability to evaluate trade-offs across architecture, security, scalability, integration, cost, delivery speed, and operational support.\nClear written and verbal communication skills, with the ability to explain technical decisions to engineering, product, business, and governance stakeholders.\nAbility to coordinate across teams, locations, and vendors while maintaining momentum, transparency, and delivery discipline.\n• A collaborative mindset, a commitment to engineering excellence, and enthusiasm for AI and emerging technologies.\nCorporate Security Responsibility\nAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:\nAbide by Mastercard’s security policies and practices;\n\nEnsure the confidentiality and integrity of the information being accessed;\n\nReport any suspected information security violation or breach, and\n\nComplete all periodic mandatory security trainings in accordance with Mastercard’s 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