Back-End Engineer, Java-Spring

🔥 20 minutes ago

🌐 Brazil, Argentina, +3 more countries – Remote

🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote 🇧🇴 Bolivia – Remote 🇵🇪 Peru – Remote 🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

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In All Media

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.

📋 Description

• Design, build, and maintain robust backend applications and RESTful APIs using Java and Spring Boot • Deploy, manage, and scale microservices on AWS using Docker and Kubernetes • Integrate production-grade LLMs such as Claude, OpenAI, or Gemini into backend workflows • Architect and manage SQL and NoSQL data layers for performance and scalability • Own features end-to-end through deployment, monitoring, troubleshooting, and production debugging • Collaborate with cross-functional teams on architecture, testing, and system reliability • Overlap consistently with Central Time teams during standard Austin business hours

🎯 Requirements

• 4–7 years of hands-on experience building production backend applications at Software Engineer II level • Strong Java expertise with Spring Boot and REST API design • Hands-on experience with both SQL and NoSQL databases • Experience deploying and managing AWS services using Docker and Kubernetes • Practical experience integrating production-grade AI models/LLMs, such as Claude, OpenAI, or Gemini • Experience owning features through deployment, monitoring, and production debugging • Fluent English with excellent verbal and written communication skills • Consistent overlap with Central Time teams during standard Austin business hours • Nice-to-have: Saga pattern and Transactional Outbox experience • Nice-to-have: Kafka or RabbitMQ and event-driven architecture experience • Nice-to-have: Cucumber for BDD and automated testing • Nice-to-have: Experience building autonomous AI agents