Senior Java Developer

Miratech
Remote

About The Position

Join us in shaping the future of customer experiences with our client, a global leader in cloud contact center software. Their platform delivers market-leading up-time and continuously evolves with new features and capabilities for enterprise customers. As a Senior Java Developer, you will be part of the team that modernizes and enhances the platform services that power mission-critical applications. You will contribute to the design, development, and operation of highly available, scalable, and reliable microservices on Google Cloud Platform. This is a hands-on engineering role requiring strong cloud expertise, software development skills, and the ability to solve complex challenges in distributed systems.

Requirements

  • 6+ years of Java development experience, with strong expertise in Spring Boot.
  • 3+ years working with public cloud platforms (GCP preferred; AWS or Azure acceptable).
  • Proven experience designing and delivering highly available, scalable systems.
  • Experience with containerization and orchestration tools (Docker, Kubernetes).
  • Experience with event-driven systems and messaging platforms (Kafka, Pub/Sub).
  • Familiarity with LLMs and agentic AI architectures (intentless AI, react agents).
  • Strong understanding of distributed systems, cloud design principles, networking, load balancing, event processing, and security.

Nice To Haves

  • Exposure to AI APIs (OpenAI, Google Gemini, or similar).
  • Understanding of prompt engineering and AI-driven workflows.
  • Knowledge of real-time communication APIs (voice or chat).
  • Hands-on experience with GCP AI services (Vertex AI, Dialogflow) or equivalent.

Responsibilities

  • Design, develop, and maintain highly available, scalable, and reliable microservices in Java using Spring Boot.
  • Contribute to the modernisation and evolution of the client's SaaS platform, leveraging cloud services and emerging AI technologies.
  • Integrate AI-driven workflows and assist in implementing agentic AI architectures or LLM-based features where applicable.
  • Apply expertise in cloud architecture, distributed systems, event-driven design, and messaging platforms (Kafka, Pub/Sub).
  • Work closely with product, QA, DevOps, and PM teams to deliver new features, maintain system reliability, and improve platform performance.
  • Quickly adapt to emerging AI technologies, understanding how they can be integrated into enterprise systems
  • Collaborate in a high-performing team, taking ownership of tasks and delivering results with accountability

Benefits

  • health insurance
  • relocation program
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