Senior Java Software Engineer

Marathon TS is seeking a Senior Java Software Engineer with strong backend development experience in Java and modern microservices architecture. This role will focus on building and enhancing scalable, cloud-native services using the Quarkus framework within a distributed, event-driven ecosystem.

Responsibilities:

• Design, develop, and maintain backend microservices using Java and Quarkus (or Spring Boot)
• Build scalable, cloud-native applications within a microservices architecture
• Develop and integrate RESTful APIs and backend service components
• Work with event-driven systems using messaging platforms such as Kafka or Google Pub/Sub
• Integrate backend services with NoSQL databases including MongoDB and Elasticsearch
• Collaborate with cross-functional teams to design and implement reliable, scalable solutions
• Participate in system design, architecture discussions, and technical decision-making
• Troubleshoot and resolve performance, scalability, and reliability issues
• Contribute to cloud-based deployments, preferably within Google Cloud Platform (GCP)
• Work independently while collaborating effectively with a highly integrated engineering team
• Contribute to initiatives involving AI-enabled systems or services, where applicable

Requirements:

• 4+ years of professional software engineering experience (senior-level capability expected)
• Strong development experience using Java
• Experience with Quarkus or Spring Boot
• Experience building applications using microservices architecture
• Experience working with messaging systems such as Kafka
• Experience working with messaging systems such as Google Pub/Sub
• Experience with NoSQL databases, including MongoDB
• Experience with NoSQL databases, including Elasticsearch
• Strong understanding of backend system design and distributed systems
• Ability to work independently and take ownership of services and deliverables
• Strong troubleshooting and problem-solving skills
• Experience working with Google Cloud Platform (GCP)
• Experience building or supporting AI-enabled applications or services
• Experience developing cloud-native applications
• Experience with containerization technologies such as Docker or Kubernetes
• Experience working in Agile environments