Senior Java Engineer

Role Description

We are looking for strong Engineering and Product professionals who excel in a dynamic environment. At MoneyGram, we value engineers who can navigate ambiguity without waiting for direction and take ownership of outcomes rather than simply completing tasks. In this role, you will be expected to make sound decisions using available information, communicate proactively, and balance autonomy with collaboration. We are building a culture where individuals seek solutions rather than assigning blame, always aiming to build trusted relationships across functions while maintaining a steadfast focus on business and customer outcomes over functional wins.

We are seeking a highly skilled Senior Java Engineer with 10+ years of experience to contribute to the design, development, and deployment of scalable enterprise applications and backend services. In this role, you will architect and build robust, secure, and high-performance Java solutions, develop APIs and integrations, modernize legacy applications, and support automation initiatives involving Chatbot, Voicebot, and conversational AI. You will collaborate closely with cross-functional teams to build reliable, scalable solutions and integrations hosted on AWS.

What you will get to do

• Architect, design, and implement high-availability, fault-tolerant enterprise Java applications.
• Write clean, secure, and highly optimized code utilizing modern Java features to support scalable backend services and APIs.
• Design and scale distributed microservices architectures optimized for performance, reliability, and maintainability.
• Build and integrate APIs, backend services, and orchestration components supporting enterprise applications, automation, Chatbot, and Voicebot initiatives.
• Contribute to modernization of legacy applications and migration to modern, scalable architectures.
• Optimize data models, database performance, and application services across relational and NoSQL databases.
• Manage and automate secure cloud-based deployment pipelines using modern DevOps practices on AWS.
• Lead code reviews, enforce engineering standards, and mentor engineering team members.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).
• Strong system-level troubleshooting skills with the ability to make sound decisions using available data.
• Self-starter mindset with the ability to navigate ambiguity and execute tasks independently.
• Strong communication and collaboration skills across engineering, AI, architecture, and product teams.
• Excellent English written and verbal communication skills.

Requirements

• Core Tech: Java 17 / Java 21, Spring Boot, Spring Cloud, Hibernate ORM, and JPA.
• Architecture: Microservices, Event Driven Architecture, CQRS, Distributed Transactions (Saga pattern), and Domain-Driven Design (DDD).
• APIs & Integration: REST APIs, API gateways, third-party API integrations, and enterprise integration patterns.
• Databases: PostgreSQL, Oracle DB, and Couchbase.
• Messaging & Streaming: Apache Kafka.
• Cloud & DevOps: AWS (highly preferred; experience with Azure or GCP is acceptable), Docker, Kubernetes, and Jenkins or GitLab CI.
• AI Integration: Experience integrating Java applications with AI services, LLM-based capabilities, Chatbot/Voicebot platforms, or other third-party AI tools through APIs. Working knowledge of AI, Generative AI, and conversational AI concepts is preferred.
• Testing & Tools: JUnit 5, Mockito, Testcontainers, Maven, or Gradle.
• Minimum 10+ years of professional backend software engineering experience, with strong hands-on Java development experience.
• Proven track record working on large-scale distributed systems, enterprise applications, or SaaS products.
• Extensive experience building and deploying software within Agile/Scrum environments.
• Demonstrated experience modernizing legacy applications and migrating monolithic applications to microservices architectures.
• Strong experience developing APIs, integrations, and backend services.
• Experience integrating AI/ML capabilities into enterprise applications and a good understanding of AI, Generative AI, and conversational AI concepts.

Benefits

• Comprehensive Health Insurance - Medical coverage for eligible employees and their families (subject to benefits limit, policy terms and conditions).
• Life and Accident Insurance - Financial protection coverage for eligible employees.
• Community Service Days - Paid time off for eligible employees to volunteer in their communities.
• Tuition Reimbursement - Educational assistance program for eligible employees (subject to program guidelines and approval).
• Transfer Fee Reimbursement - Smooth transitions with reimbursement for any transfer-related fees. We’ve got you covered.
• Employee Assistance Program - Confidential counseling and support services for eligible employees.
• Employee Referral Program - Incentive program for employee referrals (subject to program terms).
• Remote work flexibility - Available for eligible roles with hybrid or remote work options.