Java Developer
AI Summary
Designs and develops new and existing product capabilities in a cloud-native environment, building and maintaining services on AWS as part of an Agile Scrum team.
About this role
About the Role
We are looking for a highly skilled Java Developer to join our R&D Server team. In this role, you will design and develop both new and existing product capabilities, working across a diverse set of technologies and architectures.
This role includesBuilding, enhancing, and maintaining services in our AWS-based production environment, leveraging modern cloud-native tooling and infrastructure.
The ideal candidate is someone who loves to self-learn, shares expertise with peers, and thrives in an Agile, collaborative, and warm team environment.
Our tech stack includes Redis, Oracle, PSQL, Kafka, Spring, Microservices, Docker, Kubernetes, AWS, Jenkins, Grafana, ELK, Maven, and GitHub.
Responsibilities
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Contribute to architecture design, code quality, performance optimization, and scalable system patterns.
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Collaborate closely within an Agile Scrum team and provide mentorship, knowledge sharing, and technical leadership.
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Participate in production troubleshooting, analysis, and improvements across diverse runtime environments.
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Work with DevOps, QA, and Product teams to ensure smooth delivery, operational readiness, and high system reliability.
Requirements
Must-Have
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At least 3 years of professional Java development experience (exceptional candidates with slightly less may be considered).
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Strong object-oriented programming skills and deep understanding of Java internals.
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Solid experience in software engineering principles, including system design, architecture, and best coding practices.
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Hands-on experience with multi-threaded programming.
Advantages
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DevOps-oriented mindset, with exposure to CI/CD pipelines, containerized environments, and operational tooling.
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Experience working with or integrating AI/ML tools or frameworks.
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Background in microservices architecture, including asynchronous (Kafka, messaging queues) and synchronous (RESTful APIs) communication models.
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Strong test-oriented mindset (unit tests, component tests, automation).
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Experience with Spring / Spring Boot.
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Hands-on with Docker, Kubernetes, and container orchestration platforms.
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Experience with Kafka event-driven systems.
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Familiarity with profiling tools, code coverage tools, and CI/CD systems.
