Java Software Engineer
Loylogic is the world’s leading innovator and creator of points experiences, insights, commerce, and engagement. By tantalizing members with more choices and arming programs with insights on behavior – anticipating both present and future needs – we deliver powerful solutions that amplify engagement and build loyalty.
Job Description:
In a nutshell
As a Java Developer at Loylogic, you would be leading by example in developing robust, scalable, and bug-free solutions using the microservice architecture. You’ll become part of an Agile, multidisciplinary team. You get your team, a scrum master to facilitate the Lean-Agile process, and a product owner to represent the business needs.
What you will do
- Understand requirements and do implementation design
- Build robust and scalable solutions
- Learn and leverage new technologies
What you will need
Primary Skills:
- Two plus years of strong experience in Java language programming and implementations using Spring Framework.
- Knowledge of microservices.
- Agile delivery experience.
- Knowledge of best practices in the areas of Configuration Management, Test Automation, Continuous Integration & Deployment, and Monitoring using frameworks like Docker, Kubernetes, Jenkins (or similar), Ansible (or similar), and platform services in the Cloud.
- Responsible for troubleshooting and resolving complex production issues, performing root cause analysis, and ensuring system stability through proactive monitoring and debugging.
Other preferred skills:
- Experience of developing SaaS offerings on public Cloud Platforms (e.g., AWS, Google, Azure) using platform services.
- Experience of working with RDBMS and NoSQL data stores on-premise and in the Cloud (e.g., MySQL, PostgreSQL/AWS, MongoDB, Cassandra, DynamoDB/AWS).
- Experience or Knowledge of best practices in the areas of Configuration Management, Test Automation, Continuous Integration & Deployment, and Monitoring using frameworks like Docker, Kubernetes, Jenkins (or similar), Ansible (or similar), and platform services in the Cloud.
- Experience of working with or building an e-commerce platform.
- LLM integration in Java (Spring AI, LangChain4j, Amazon Bedrock)
- AI integration patterns (RAG, embeddings/vector search, tool calling, MCP)
- AI risks in production (hallucinations, prompt injection, cost, data privacy)
What we have
We are an international team, with members located in offices across the world but who share learnings and support and encourage each other, overcoming any challenges that distance and even different time zones may throw up.
Our goodies for you
- Competitive salary dependent on experience
- Office location on a non-traffic road
- Hybrid working model
- Internal incentive program
- Anniversary bonus
- Annual Team Outing and regular Team events