Senior Microservices Developer

Who we are:

GMG is a global well-being company retailing, distributing and manufacturing a portfolio of leading international and home-grown brands across sport, everyday goods, health and beauty, properties and logistics sectors. Under the ownership and management of the Baker family for over 45 years, GMG is a valued partner of choice for the world's most successful and respected brands in the well-being sector. Working across the Middle East, North Africa, and Asia, GMG has introduced more than 120 brands across 12 countries. These include notable home-grown brands such as Sun & Sand Sports, Dropkick, Supercare Pharmacy, Farm Fresh, Klassic, and international brands like Nike, Columbia, Converse, Timberland, Vans, Mama Sita's, and McCain.

Role Summary:
We are seeking a highly skilled Senior Microservices Developer to design, develop, and support scalable, cloud-native applications and integrations. The ideal candidate will have strong expertise in Java, Spring Boot, Microservices Architecture, AWS, and Event-Driven Systems, along with experience integrating enterprise and commerce platforms such as Shopify, OMS, and ERP systems. The role requires a passion for modern software engineering practices, cloud technologies, API-led integrations, and emerging AI-driven development approaches. The successful candidate will collaborate with cross-functional teams to deliver secure, resilient, and high-performance solutions that support business growth and digital transformation initiatives.
Responsibilities:
1. Develop, enhance, and maintain scalable, high-performance microservices-based applications using Java, Spring Boot, and Spring WebFlux.

2. Design and implement cloud-native, resilient, and scalable solutions leveraging Spring Boot, Spring Cloud, AWS services, and AWS infrastructure.

3. Build and maintain enterprise-grade microservices using REST APIs, event-driven architecture, and asynchronous messaging patterns.

4. Review and validate technical designs, specifications, API contracts, and integration approaches developed by internal teams and external partners, ensuring alignment with business requirements, architecture standards, and best practices.

5. Design, develop, and support integrations with commerce platforms, marketplaces, OMS, ERP systems, payment gateways, and third-party applications.

6. Develop and implement automated testing frameworks, quality assurance processes, and deployment automation to ensure software reliability and maintainability.

7. Manage and coordinate release cycles across development, testing, and production environments, ensuring smooth and successful deployments.

8. Collaborate with architects, product managers, QA engineers, DevOps teams, and business stakeholders to deliver secure, scalable, and high-quality solutions.

9. Participate in architecture reviews, code reviews, troubleshooting, performance optimization, and continuous improvement initiatives.

10. Evaluate and adopt emerging technologies, AI-assisted development tools, and engineering best practices to improve development productivity and solution quality.

11. Contribute to the design and implementation of next-generation AI-enabled and Agentic AI solutions where applicable.

People Management:

The incumbent holds no direct supervisory responsibilities but is expected to engage effectively within their function and collaboratively across cross-functional teams. This role contributes meaningfully, whether through operational contributions and/or by offering specialized expertise, guidance, and support, to ensure alignment with either functional and/or strategic organizational goals and objectives.

Functional / Technical Competencies:

1. 5+ Years of experience in Java, Spring Boot, Spring WebFlux, and Spring Cloud.

2. Experience in designing and developing microservices, REST APIs, and distributed systems.

3. Hands-on experience with AWS services and cloud-native architectures.

4. Experience with Docker, Kubernetes, and CI/CD pipelines.

5. Proficiency in Git-based source control systems and code review practices.

6. Strong understanding of Event-Driven Architecture (EDA) and messaging platforms such as Apache Kafka and Amazon Simple Queue Service (SQS).

7. Experience with API Gateway solutions, third-party integrations, and enterprise integration patterns.

8. Hands-on experience integrating with Shopify, marketplaces, OMS, ERP systems, and external APIs.

9. Working knowledge of Databricks, data integration, and cloud-based data platforms.

10. Experience with automated testing, performance optimization, and secure coding practices.

11. Familiarity with Python, scripting, AI-assisted development, and code generation tools.

12. Basic understanding of RAG, MCP, Vector Databases, LLMs, and Agentic AI concepts.

13. Strong analytical, problem-solving, and communication skills.