Senior Software Engineer at Moniepoint Inc.

What You'll Be Doing

• Collaborate with cross-functional teams (product, design, QA) to define, design, and ship high-impact features.
• Design scalable architecture and implement performant backend services using Java and Spring Boot.
• Write clean, maintainable, and well-documented code with a strong focus on reliability and testability.
• Integrate third-party services and APIs while ensuring robust error handling and graceful degradation.
• Continuously improve system performance and developer experience through automation and refactoring.
• Debug complex issues across the stack and proactively identify opportunities for technical improvement.
• Participate in code reviews, architecture discussions, and share best practices with the team.
• Document technical decisions, systems, and processes for future team reference and transparency.

What We're Looking For

• BS/MS in Computer Science, Engineering, or a related technical field.
• At least 5+ years of professional experience in software engineering, with a strong focus on backend systems.
• Expertise in Java and Spring Boot; solid understanding of modern backend architecture and best practices.
• Experience building and scaling web services, APIs, and distributed systems.
• Familiarity with Agile development methodologies and CI/CD pipelines.
• Proficient with relational databases and ORM frameworks (e.g., Hibernate).
• Exposure to frontend frameworks like AngularJS or React is a plus.
• Strong debugging skills and a methodical approach to problem-solving.
• Excellent communication skills and a team-first attitude.

Our Tech Stack:
As part of our engineering team, you’ll work with modern technologies and tools that enable us to build scalable, reliable, and high-performing systems. Some of the technologies you’ll be hands-on with include:

• Java (latest versions): Powering our core backend systems with a focus on performance and maintainability.
• Spring & Spring Boot: Building modular, production-grade microservices with robust dependency management.
• Docker & Kubernetes: Containerized deployments and orchestration for consistent, scalable environments across dev, staging, and production.
• PostgreSQL & DynamoDB: A combination of relational and NoSQL databases to handle structured data and dynamic scaling needs.
• Elasticsearch: For fast, flexible full-text search and analytics across large datasets.
• AWS Cloud Infrastructure: Deploying and managing microservices using a cloud-native architecture that supports global scalability.