Senior Backend Engineer

3 weeks ago

Pune, Maharashtra, India Intraedge Technologies Ltd. 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. 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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