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.