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)