Back-End Engineer (Java-Spring)
Time Zone & Collaboration: This role is 100% remote from LATAM and requires consistent overlap with teams in Central Time (CT).
Remote (LATAM) contract backend engineer role using Java/Spring Boot, AWS, Docker/Kubernetes, and LLM integration; requires 4-7 years experience and English fluency.
Position: Backend Software Engineer Location: Remote from LATAM Contract Type: Full-time Contractor Time Zone Alignment: CT About In All Media: We are a Managed Nearshore Teams provider headquartered in Austin, specializing in building and embedding high-performing software development teams. From design to deployment, we deliver customized solutions by connecting global talent with innovative client projects. Our model allows you to work on international challenges, collaborate with diverse teams, and grow your career while being part of a company that values expertise, creativity, and impact.
Project Overview
In this role, you will be a key contributor to a high-impact project focused on building scalable, production-grade backend applications infused with cutting-edge AI capabilities. You will join a collaborative, fast-paced team dedicated to designing robust microservices and integrating advanced Large Language Models (LLMs) into core architectures. The project involves end-to-end ownership, from architecting reliable REST APIs to leveraging AWS cloud infrastructure for seamless deployments.
As a Backend Software Engineer, you will bridge the gap between traditional enterprise systems and modern AI integrations, ensuring high performance, reliability, and continuous innovation.
Key Responsibilities Backend Development
Design, build, and maintain robust backend applications and RESTful APIs utilizing Java and the Spring Boot framework.
Cloud & Infrastructure
Deploy, manage, and scale microservices on AWS, leveraging Docker and Kubernetes for containerization and orchestration.
AI Integration
Seamlessly embed production-grade LLMs (such as Claude, OpenAI, or Gemini) into backend workflows to power intelligent product features.
Database Management
Architect and manage data layers using SQL and NoSQL technologies to ensure optimal performance and scalability.
Production Ownership
Take full end-to-end responsibility for features, guiding them through deployment, active monitoring, troubleshooting, and production debugging.
Agile Collaboration
Work closely with cross-functional teams to deliver high-quality software, ensuring best practices in architecture, testing, and system reliability.
Must-Have Skills Backend Mastery
Solid hands-on experience building production backend applications at a Software Engineer II level. (4–7 YEARS OF EXPERIENCE) Java & API Stack: Strong Java expertise utilizing the Spring Boot framework, paired with robust experience designing REST APIs.
Database Technologies
Hands-on experience working with both SQL (Structured Query Language) and NoSQL database paradigms.
Cloud & Containerization
Proven experience deploying and managing services on AWS using Docker and Kubernetes.
AI Integration
Direct, practical experience integrating production-grade AI models/LLMs (e.g., Claude, OpenAI, or Gemini).
Production Ownership
Proven track record taking features through deployment, active monitoring, and production debugging.
Fluent English
Excellent verbal and written communication skills for daily technical collaboration and documentation.
Nice-to-Have Skills Microservice Design Patterns
Experience implementing distributed transaction patterns like the Saga pattern and Transactional Outbox.
Event-Driven Architecture
Hands-on experience with event-driven architectures utilizing message brokers such as Kafka or RabbitMQ.
Testing & Automation
Experience using Cucumber for behavior-driven development (BDD) and automated testing.
Advanced AI
Experience building autonomous AI agents.
Time Zone & Collaboration
This role is 100% remote from LATAM and requires consistent overlap with teams in Central Time (CT). Flexibility is expected to accommodate key ceremonies, stand-ups, and collaborative sessions within standard Austin business hours.
Language
All interviews, documentation, and daily communication are in English. #LI