Sr. Engineer - Backend

Job Description

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.

Job Requirements

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