Lead Software Engineer - Java developer, Cloud

Overview

Offers team in the Loyalty group at Mastercard is at the heart of providing end consumers highly personalized card linked offers by marrying offers from our advertising network with anonymized transaction data. We are looking for strong, innovative engineers who can bring unique perspectives and innovative ideas to all areas of development and are interested in continuing to improve our platform through the ever-changing technology landscape. In this role, you will work on multiple projects, which are critical to Mastercard s role. An ideal candidate is someone who works well with a cohesive team-oriented group of developers, who has a passion for developing great software, who enjoys solving problems in a challenging environment, and who has the desire to take their career to the next level. If any of these opportunities excite you, we would love to talk.

Responsibilities:

• Design, develop, test, deploy, maintain, and continuously improve software products
• Manage individual project priorities, deadlines, and deliverables
• Ensure the final product is highly performant, responsive, and aligned with business goals
• Actively participate in agile ceremonies including daily stand-ups, story pointing, backlog refinement, and retrospectives
• Collaborate with cross-functional teams including Product, Business, and Engineering
• Coach and mentor junior and new team members to foster professional growth and team alignment

All About You / Experience:

• Proven experience as a senior or lead software engineer with a strong technical foundation
• Proficient in at least one modern programming language, preferably Java
• Strong knowledge of object-oriented design, data structures, algorithms, and complexity analysis
• Extensive experience building RESTful APIs and designing microservices-based architectures
• Hands-on expertise with React, Spring Boot, PostgreSQL, and Elasticsearch
• Demonstrated full stack development experience, including frontend and backend integration
• Familiarity with cloud platforms, along with distributed systems
• Exposure to Big Data technologies like Apache Spark, Python, and HBase is a plus
• Strong communication and leadership skills with a proactive, collaborative mindset