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Mastercard

Processes payments across a global network

Lead Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of software engineering experience delivering scalable, high-performance, and reliable software in an agile environment.
  • Strong hands-on experience designing and building distributed systems, microservices, RESTful APIs, and cloud-native applications.
  • Strong experience with data-intensive applications and analytics platforms.
  • Proven expertise leading system architecture, high-level design, detailed design, and end-to-end technical delivery of complex software solutions.
  • Experience driving technology modernization initiatives, including cloud adoption, platform transformation, and modernization of legacy applications.
  • Hands-on experience with Java or Python, AWS and/or Azure, continuous integration and continuous delivery, containerization, Kubernetes, observability, and modern software delivery practices.
  • Demonstrated technical leadership as an individual contributor, influencing architecture decisions, driving technical strategy, and leading large cross-team initiatives.
  • Ability to translate business and product requirements into scalable, secure, and maintainable technical solutions.
  • Experience leading and coordinating technical initiatives across globally distributed teams spanning multiple regions and time zones.
  • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
  • Comply with Mastercard security policies and practices, protect the confidentiality and integrity of accessed information, report suspected security violations or breaches, and complete mandatory security training.

Responsibilities

  • Lead the technical design and delivery of complex, data-intensive software solutions that enable advanced analytics, experimentation, and data-driven decisioning for Mastercard clients.
  • Define and drive technical strategy for modernization initiatives, including evolving legacy systems toward scalable, cloud-native, API-driven, and service-oriented architectures.
  • Lead system design across platform architecture, high-level and detailed technical design, integration patterns, non-functional requirements, and implementation approach.
  • Design, code, test, debug, and deliver production-quality software across the full engineering lifecycle.
  • Build and evolve scalable services, APIs, data pipelines, and analytical capabilities using modern engineering practices, cloud platforms, and data technologies such as AWS, Azure, Databricks, Spark/PySpark, and related frameworks.
  • Partner with product managers, engineering teams, architects, data scientists, quality assurance, security, and operations teams to translate business and functional requirements into robust technical solutions.
  • Coordinate and lead technical execution across globally distributed engineering teams, aligning regions, time zones, dependencies, design decisions, and delivery milestones.
  • Drive architecture and design reviews, code reviews, technical decision-making, and engineering tradeoff discussions to ensure solutions are secure, resilient, observable, performant, maintainable, and aligned with enterprise standards.
  • Identify opportunities to improve platform scalability, reliability, developer productivity, operational readiness, and speed of delivery through modernization, automation, reusable patterns, and engineering best practices.
  • Mentor junior and mid-level engineers through design guidance, code review, pairing, knowledge sharing, and modeling strong engineering judgment.
  • Clarify technical direction in complex initiatives, decompose large problems, identify risks, and drive alignment across stakeholders.
  • Champion engineering excellence, continuous improvement, ownership, collaboration, and high-quality delivery across the team and partner organizations.
  • Abide by Mastercard security policies and practices, ensure the confidentiality and integrity of accessed information, report suspected information security violations or breaches, and complete periodic mandatory security trainings.

Desired Qualifications

  • Experience with Databricks, Spark, or PySpark; machine learning experience is highly desirable.
  • An advanced degree is a plus.
  • Strong problem-solving skills and the ability to work through ambiguity, make sound technical decisions, and drive results through hands-on execution.
  • Excellent collaboration and communication skills, with the ability to work effectively across engineering, product, architecture, data science, quality assurance, and operations teams.
  • Passion for mentoring and developing engineers through technical guidance, design reviews, and knowledge sharing.

About the Company

Mastercard

Processes payments across a global network

Mastercard operates a global payment network connecting financial institutions, merchants, businesses and consumers. It authorizes, clears and settles transactions between participating institutions, while banks issue Mastercard-branded cards and extend credit to their customers. Its services also include fraud detection, identity verification, payment tokenization, data analysis and consulting for organizations managing commerce and financial operations. The company earns network fees linked to payment volumes and processed transactions, along with fees for its services and solutions. Founded by a group of banks in 1966, Mastercard is headquartered in Purchase, within Harrison, New York.

Company size
10,001+
Company stage
IPO
Headquarters
Town of Harrison, New York
Founded
1966

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