{"id":2353348,"url":"https://alion.io/job/mastercard-lead-software-engineer-agentic-workflowsapis","title":"Lead, Software Engineer (Agentic workflows/APIs)","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":94,"open_postings":233,"ghost_share":0.017,"stale_share":0.352,"repost_share":0.099,"time_to_fill_p50_days":21,"computed_at":"2026-10-12T06:55:09Z"}},"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":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":8,"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 EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Copilot","optional":false},{"name":"Dynatrace","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Gradle","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Maven","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Splunk","optional":false},{"name":"Spring Boot","optional":false},{"name":"Spring Cloud","optional":false},{"name":"Swagger","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Databricks","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Snowflake","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-12T14:15:31Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T00:07:32Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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 Engineer (Agentic workflows/APIs)OverviewMastercard is seeking a highly skilled and passionate Tech Lead to drive the next generation of platform modernization, API transformation, cloud-native engineering, agentic workflow solutions, and AI-enabled product capabilities.\nThe ideal candidate is a hands-on technical leader who can architect and deliver scalable enterprise systems while mentoring engineering teams, influencing technical strategy, and driving innovation across multiple initiatives.\nThis role requires deep expertise in distributed systems, APIs, cloud technologies, AI-powered engineering, data platforms, and software delivery at scale. The successful candidate will play a critical role in shaping the future of Mastercard's intelligent platforms by combining strong technical leadership with exceptional execution capabilities.\nRole & Responsibilities\nTechnical Leadership\nLead end-to-end delivery of complex engineering initiatives.\nDefine technical architecture, engineering patterns, solution roadmaps, and development standards.\nDrive technical design reviews, architecture discussions, and engineering best practices.\nGuide teams in building scalable, secure, resilient, and maintainable platforms.\nEvaluate emerging technologies and recommend strategic adoption opportunities.\nInfluence technical roadmaps and long-term platform strategy.\nSoftware Engineering\nDesign and develop enterprise-grade backend services, APIs, and distributed systems using Java and Spring Boot.\nBuild scalable, high-availability microservices and cloud-native applications.\nDesign and implement secure, high-performance RESTful APIs and integrations.\nEnsure software quality through code reviews, automated testing, and engineering governance.\nDrive modernization, automation, and platform engineering initiatives.\nAgentic Workflows & AI Enablement\nDesign and implement agent-driven workflows and intelligent automation solutions.\nIntegrate AI powered capabilities into engineering and operational processes.\nCollaborate with business and engineering stakeholders to identify AI-enabled use cases.\nEstablish best practices for responsible AI adoption within software delivery lifecycles.\nDrive adoption of AI-assisted development practices to improve engineering productivity and quality.\nCloud, Platform & Data Engineering\nDesign, develop, and deploy solutions on AWS.\nBuild reusable frameworks, platforms, and engineering accelerators.\nEnable Infrastructure as Code (IaC) and automation-first engineering practices.\nDesign and support scalable ETL, analytics, and data processing solutions.\nBuild event-driven and data-intensive applications using modern architecture patterns.\nPartner with DevOps teams to improve deployment reliability, scalability, and operational maturity.\nOperational Excellence\nChampion observability, monitoring, alerting, reliability, and performance engineering practices.\nLead incident management, troubleshooting, and root-cause analysis activities.\nDrive continuous improvement initiatives focused on availability, performance, resiliency, and security.\nEnsure compliance with Mastercard engineering, risk, and security standards.\nTeam Leadership\nMentor and coach software engineers and senior engineers.\nSupport hiring, onboarding, and technical skill development.\nFoster a culture of accountability, innovation, ownership, and continuous learning.\nCollaborate effectively across Product, Architecture, Security, Operations, and Engineering teams.\nDevelop future technical leaders and promote engineering excellence.\nRequired Qualifications\nEducation\nBachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.\nExperience\n8+ years of software engineering experience.\nProven track record delivering enterprise-scale software solutions.\nExperience leading cross-functional engineering initiatives.\nExperience building cloud-native and distributed systems at scale.\nStrong experience mentoring engineers and driving engineering excellence.\nTechnical Skills\nCategory Technologies / Expertise\nProgramming Languages Java (8+), Python\nBackend Engineering Spring Boot, Spring Cloud, Microservices, REST APIs, OpenAPI/Swagger, API Lifecycle Management, Distributed Systems\nArchitecture & Design System Design, Object-Oriented Design, Design Patterns, Domain Driven Design (DDD), Event-Driven Architecture, CQRS, Event Sourcing, Hexagonal/Clean Architecture\nCloud Technologies AWS EC2, ECS, EKS, Lambda, S3, API Gateway, IAM, SNS, SQS, RDS\nDatabases Oracle, PostgreSQL, MongoDB, NoSQL Databases\nEvent Streaming & Messaging Kafka, Axon Framework, Event Streaming Platforms\nDevOps & Platform Engineering Git, GitHub, Jenkins, Maven, Gradle, CI/CD Pipelines, Infrastructure as Code (IaC), Platform Engineering\nMonitoring & Observability Splunk, Dynatrace, OpenTelemetry, Distributed Tracing, Application Monitoring, Logging & Alerting\nSecurity OAuth2, JWT, Secure API Development, Secure SDLC, Authentication & Authorization, Encryption Standards, Secure Coding Practices\nAI & Agentic Engineering GitHub Copilot, Microsoft Copilot, Agentic\nEngineering Practices\nThe ideal candidate demonstrates:\nStrong object-oriented design and architecture skills.\nExpertise in scalable system design and distributed architecture.\nExperience with design patterns and modern engineering practices.\nExpertise in unit, integration, performance, and automated testing.\nStrong knowledge of CI/CD, DevOps, and automation-first development.\nExperience working in Agile product development environments.\nStrong focus on reliability, observability, security, and performance optimization.\nPreferred Qualifications\nExperience building AI-powered or agentic applications.\nFamiliarity with LLM platforms, GenAI, MCP, Copilot, or related technologies.\nExperience with event-streaming platforms such as Kafka.\nExperience with AWS services including Lambda, ECS/EKS, API Gateway, S3, CloudWatch, and IAM.\nKnowledge of Infrastructure as Code tools such as Terraform.\nExperience with observability platforms such as Splunk and Dynatrace.\nExperience with Databricks, Snowflake, or modern analytics platforms.\nExperience building enterprise API products and developer ecosystems.\nExperience leading cloud transformation and modernization programs.\nPayments, fintech, or financial services industry experience.\nSuccess Measures\nThe successful candidate will:\nDeliver scalable and secure platform solutions aligned with business objectives.\nAccelerate adoption of agentic and AI-enabled engineering capabilities.\nImprove engineering productivity, quality, operational excellence, and platform reliability.\nMentor engineers and grow overall team capability.\nDrive technical innovation while maintaining strong delivery execution.\nInfluence architecture and technology strategy across the organization.\n• Champion engineering excellence and modern software development practices.\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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