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Senior Backend Engineer - Java

Senior Backend Engineer - Java

Intraedge Technologies Ltd.Pune
30+ days ago
Job description

Position : Senior Backend Engineer.

Experience : 6 to 10 Years.

Location : Pune.

Position Overview :

We are seeking a Senior Backend Engineer with strong experience in Functional Java, SpringBoot, and distributed systems.

The ideal candidate will also bring hands-on knowledge of Apache Kafka, Redis, and cloud-native development on Google Cloud Platform (GCP).

A working understanding of Large Language Models (LLMs) and AI service integration will be considered a strong plus.

Key Responsibilities :

  • Design, develop, and maintain scalable microservices using Functional Java and SpringBoot.
  • Architect and implement real-time data pipelines and event-driven systems using Apache Kafka.
  • Integrate Redis for performance-optimized caching and session management.
  • Build and deploy containerized services using Docker on GCP (Cloud Run, GKE, Pub / Sub, etc.)
  • Collaborate with data science and product teams to incorporate pre-trained LLMs (e. OpenAI, Hugging Face models) into backend workflows.
  • Participate in system architecture discussions, performance tuning, and design reviews.
  • Ensure test coverage and continuous delivery through robust CI / CD pipelines.
  • Troubleshoot complex issues in distributed environments and resolve production incidents swiftly.

Required Skills & Experience :

  • 6- 10 years of backend engineering experience.
  • Strong proficiency in Java, ideally with Functional Programming practices.
  • Expertise in SpringBoot and microservice architecture.
  • Deep hands-on experience with Apache Kafka for stream processing and event-driven design.
  • Solid knowledge of Redis for caching, message brokering, and performance tuning.
  • Practical experience with GCP services : Cloud Run, GKE, Pub / Sub, Storage, IAM.
  • Familiarity with LLM concepts (prompt engineering, APIs for model access, basic NLP tasks).
  • Experience with RESTful APIs, API security, and integration patterns.
  • Proficient in Docker, Git, and building / maintaining CI / CD pipelines.
  • Strong analytical, debugging, and performance tuning skills in cloud-native environments.
  • Preferred Qualifications :

  • GCP certification or prior experience deploying production-grade systems on GCP.
  • Exposure to AI / ML integration workflows, especially model orchestration and prompt testing.
  • Experience working in Agile / Scrum teams with a DevOps mindset.
  • Contributions to open-source projects or backend engineering blogs.
  • (ref : hirist.tech)

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