Functional Java Backend

1 week ago

Pune, Maharashtra, India IntraEdge Full time

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.g., 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

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