IN - Senior Backend Engineer - 193

Our client is a fast\-growing, AI\-powered marketing platform currently being utilized by leading SaaS (Software as a Service) companies. As a dynamic startup of 30 people, they are rapidly expanding their team. They are looking for a highly skilled and motivated Senior Backend Engineer to join their globally distributed team, with a focus on incorporating talent from Latin America. Their engineering team operates across the US and India, and you will play a crucial role in maintaining and scaling our robust infrastructure. This role is ideal for an experienced engineer who excels in a fast\-paced environment, can work autonomously, and is dedicated to delivering high\-quality, scalable solutions. If you are a proactive problem\-solver with a strong background in Java and cloud technologies, we encourage you to apply. **Responsibilities:** * Design, develop, and deploy robust, high\-performance backend services primarily using Java * Write and maintain clean, efficient, and well\-documented code across various systems, including significant work with Python * Work extensively with AWS services, particularly those related to message queuing and serverless architecture, to build and scale our platform * Implement and manage distributed data pipelines and communication using Kafka * Collaborate with cross\-functional teams to define, design, and ship new features * Ensure the scalability, security, and reliability of our applications and infrastructure * Mentor junior engineers and contribute to technical decision\-making and architectural discussions **Requirements** * 6\+ years of total professional experience in software development * Expert\-level proficiency in Java and its ecosystem * A minimum of 2 years of hands\-on experience with Python within the last five years of professional work * Significant experience with AWS cloud services, including hands\-on experience with SQS (Simple Queue Service) and other fundamental services (e.g., EC2, Lambda) * Strong, demonstrable experience working with Kafka for building real\-time data feeds or distributed applications * Working knowledge of containerization technologies: Docker and Kubernetes * Proficiency with both relational and non\-relational databases, specifically MongoDB and MySQL **Nice to Have:** Experience working with Large Language Models (LLMs), including integration, fine\-tuning, or deployment in a production environment.