Back-End Engineer (Java-Spring)

• →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.

• 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.

• 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