Sr Software Engineer - MoneyGram API Development
- Compensation
- Not disclosed
- Location
- IN
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Software engineering
- Posted
Skills
Full description
About the role:
We are looking for a highly motivated Senior Software Engineer to join the MoneyGram core transaction and API development team. The engineer will be responsible for building scalable, high-performance systems that power our core transaction backends and API layer. The ideal candidate is a strong problem-solver with expertise in Java, distributed systems, APIs, databases, and cloud-native technologies.
What you will get to do:
Solve critical business problems for clients using a variety of back-end technologies.
Contribute to system architecture, microservices design, and integration patterns that support scalability, maintainability, and performance.
Operate effectively across architecture, implementation, delivery, and operational excellence working as part of a team in an agile environment, providing extreme ownership in what you do.
Work closely with product managers, engineers, and QA to deliver end-to-end solutions.
Automate repeated test, build, and deploy procedures.
Foster great communication and time management skills in a highly collaborative and agile environment.
What You Will Need to Be Successful:
Required Skills & Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
10+ years of backend engineering experience with a focus on Java.
Strong expertise in Spring Boot, RESTful services, microservices architecture.
Experience with cloud platforms (AWS, GCP, or Azure).
Proficiency with CI/CD pipelines, Git, Docker, and Kubernetes.
Familiarity with messaging platforms (Kafka, RabbitMQ, etc.).
Experience with product management processes and tools (Agile methods, Kanban, etc.)
Problem solver who can tackle complex technical challenges.
Openness for shift work - night (initial 3-4 months) and afternoon (the following months).
Leverage AI tools such as Claude, Cursor or Augment AI to accelerate coding, testing, documentation, and troubleshooting.
Experience
Experience leading the design, development and implementation of complex systems.
Experience with Unit Testing (JUnit, Mockito, Groovy).
Experience with Cloud Development, Deployment, and Maintenance (AWS, GCP).
Knowledge / Experience with Relational Database, NoSQL (Couchbase, Mongo) db and database optimization.
Familiarity with security best practices (OAuth2, JWT, encryption, LDAP).