Lead Software Engineer (Commercial Connect API Team)

Mastercard Inc.

Ireland

On-site

EUR 120,000 - 160,000

Full time

6 days ago
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Job summary

Mastercard Inc. is seeking a Lead Software Engineer to join our growing Commercial Connect API team. You will lead the design, development, and deployment of Java microservices that integrate with modern front-end frameworks and third‑party applications.

As part of an agile team, you will drive SDLC activities, collaborate with PMs and test engineers, ensure security and scalability, and explore AI-assisted tooling to boost productivity and quality.

Qualifications

  • Experience with CI/CD, containerization, DevOps, and Git version control.

Responsibilities

  • Lead design, development, and deployment of Java microservices for Commercial Connect API.
  • Collaborate with product managers, TPMs, and test engineers to align technical and business goals.
  • Perform code reviews, submit PRs, and support continuous improvement.
  • Ensure adherence to Mastercard engineering standards, security, and architecture guidelines.
  • Optimize performance and reliability for high-traffic, global systems.

Skills

Java
Spring Boot
RESTful APIs
Microservices
SQL
AWS/Azure
CI/CD
Docker
Kubernetes
Agile

Education

Bachelor's degree in Computer Science or related field

Tools

Git
Docker
Kubernetes

Job description

  • Mastercard is seeking a Lead Software Engineer to join our growing Commercial Connect API team
  • This team is building a global B2B technology platform that empowers businesses of all sizes to manage payments more efficiently when buying or selling products and services
  • As a lead engineer, you’ll be part of a collaborative Agile team working in a cutting-edge Mastercard technology hub
  • You will apply modern software engineering development practices with a strong emphasis on microservices architecture and scalable database development
  • Your contributions will help shape how Mastercard standardizes, automates, and optimizes digital payments across the global B2B landscape
  • Lead the design, development, and deployment of high-quality Java microservices that integrate with modern front-end frameworks and third‑party applications
  • Contribute to all phases of the SDLC including planning, coding, testing, reviews, and delivery
  • Collaborate closely with engineers, product managers, TPMs, and test engineers to align technical and business goals
  • Perform code reviews, submit pull requests, and support continuous improvement
  • Ensure adherence to Mastercard’s engineering best practices and compliance with enterprise security, operations, and architecture standards
  • Optimize application performance and reliability for large-scale, high‑traffic systems
  • Apply AI-assisted engineering opportunities across the SDLC, including code generation, test automation, and troubleshooting

Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholdersBachelor’s degree in Computer Science, Engineering, or a related field. Equivalent practical experience will be consideredExperience with CI/CD practices, containerization (Docker, Kubernetes), DevOps practices, automated testing, and version control using GitExperience working in an Agile development environmentHands-on experience with cloud platforms such as AWS or AzureProven expertise in designing and developing secure, scalable microservices that handle high traffic volumes, with a strong knowledge of microservices architecture, RESTful API design, and integration patternsAdvanced SQL knowledge with databases like PostgreSQL, Oracle, etc., and experience building solutions that scaleStrong experience developing backend applications using Java and Spring BootExtensive experience as a backend Software Engineer or Software Developer in a fast-paced, collaborative environmentStrong analytical and problem-solving abilities, with a focus on improving processes to accelerate delivery, foster innovation, reduce costs, and improve qualityExperience using AI-assisted development tools to improve engineering productivity, accelerate analysis, and generate test coverage

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