ApplySarthi

Lead Software Engineer

Mastercard

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What software roles keep asking for: Python (36%), Java (30%), AWS (30%), System design (27%), C++ (24%), CI/CD (23%), Observability (22%), Kubernetes (20%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Mastercard?
  2. What is your experience with Observability? Tell me one thing you learned the hard way.
  3. How do you decide what to test, and what does good code review look like to you?
  4. Describe a time a deadline forced a trade-off in quality. What did you choose and why?
  5. How would you design an API for a feature you have worked on?

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Our Purpose Mastercard 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. Title and Summary Lead Software Engineer Overview--The Lead Software Engineer provides technical leadership for the Transaction Lookup Services (TLS) platform, driving the design, development, and support of scalable, resilient, and secure transaction lookup APIs and data services. This role partners with Product, TPMs, Architects, Data Engineering, and Operations teams to deliver enterprise solutions supporting transaction processing, disputes, chargebacks, refunds, and historical transaction retrieval capabilities. The position is responsible for defining technical direction, mentoring engineers, and ensuring operational excellence across the platform. Role- • Lead the architecture, design, and development of microservices and APIs using Java, Spring Boot, REST, and gRPC to support mission-critical transaction lookup services. • Design and implement highly scalable, low-latency solutions leveraging Oracle, SQL, PL/SQL, Hadoop, Hive, Impala, and Spark for transactional and historical data retrieval. • Define API contracts, integration patterns, and service standards while ensuring security through TLS/mTLS, OAuth, JWT, and secure coding practices. • Drive performance optimization efforts across application and database layers, including query tuning, indexing strategies, caching, and capacity planning. • Lead modernization initiatives utilizing Kubernetes, Docker, cloud-native architectures, CI/CD pipelines, and Infrastructure as Code practices. • Collaborate with cross-functional teams to translate business requirements into scalable technical solutions and implementation roadmaps. • Establish engineering best practices through code reviews, automated testing, design reviews, and architectural governance. • Ensure production readiness through observability and monitoring using tools such as Splunk, Dynatrace, Prometheus, and Grafana, implementing proactive alerting and operational dashboards. • Lead incident resolution, root cause analysis, and reliability improvements to meet platform availability and performance SLAs. • Mentor software engineers and senior engineers, providing technical guidance, coaching, and leadership across multiple initiatives. Evaluate emerging technologies and recommend improvements that enhance platform scalability, resiliency, maintainability, and developer productivity. Required Qualifications: • Bachelor's degree in Computer Science, Engineering, or related discipline. • 8+ years of experience designing and developing enterprise applications using Java, Spring Boot, microservices, REST APIs, and distributed systems. • Strong experience with Oracle databases, SQL optimization, data modeling, and performance tuning in high-volume transactional environments. • Experience working with big data technologies such as Hadoop, Hive, Impala, Spark, or similar data platforms. • Hands-on experience deploying and operating applications on Kubernetes and containerized environments. • Strong understanding of API design, service integration, security frameworks, and authentication mechanisms. • Experience implementing CI/CD pipelines using tools such as Git, Jenkins, SonarQube, Artifactory, and automated testing frameworks. • Proven ability to lead technical design sessions, influence architecture decisions, and drive engineering excellence across teams. Excellent communication and stakeholder management skills with the ability to work effectively across engineering and business organizations. Corporate Security Responsibility All 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: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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Listed on workday · posted 2026-10-13. ApplySarthi collects openings and links to application pages; the role is advertised by Mastercard, not by us.