Backend Java Developer

Backend Java Developer - AI-Augmented Engineering Environment

Location: Pasadena, CA, 91101 (Hybrid - Onsite Interview Required)
Job Type: 6+ Month Contract (C2C)
Project: Advanced AI-Integrated Backend Systems

About the Role
Join an innovative engineering team driving the next generation of scalable, AI-augmented backend systems. As a Backend Java Developer, you'll architect and develop robust, event-driven microservices, leverage leading cloud and AI technologies, and collaborate with cross-functional experts in a dynamic, growth-focused environment. This is your opportunity to work with advanced LLM agent workflows, modern DevOps practices, and cloud-native solutions while building impactful applications for a global enterprise.

Responsibilities

- Design, build, and maintain high-performance backend services using Java, Spring Boot, and Microservices.
- Develop secure and scalable RESTful APIs and event-driven solutions leveraging Kafka and message queues.
- Integrate and optimize AI agent workflows (e.g., Copilot, Amazon Q) to automate and enhance engineering processes.
- Collaborate closely with front-end teams to deliver seamless, interactive user experiences.
- Deploy, monitor, and manage applications on AWS Cloud using modern deployment strategies.
- Ensure code quality through rigorous unit testing, E2E frameworks, and code reviews.
- Build and maintain CI/CD pipelines for streamlined development and release cycles.
- Troubleshoot, debug, and resolve issues to ensure high application availability and responsiveness.
- Stay at the forefront of backend and AI technology trends to drive continuous improvement.

Required Skills and Experience

- 8+ years as a Java Developer focused on backend systems
- Expertise in Java, Spring Boot, Microservices Architecture
- Strong experience with RESTful APIs, Kafka/message queues, event-driven systems
- Practical knowledge of AWS cloud services and cloud deployment strategies
- Hands-on with CI/CD pipelines, build tools, and DevOps practices
- Experience with Docker, Kubernetes, and container orchestration
- Familiarity with SQL (Postgres) and NoSQL databases
- Proficient in testing frameworks and E2E testing methodologies
- Skilled with Git version control
- Direct experience integrating and leveraging AI agent workflows (Copilot, Amazon Q)
- Agile development environment experience
- Excellent communication and teamwork skills

Preferred Skills

- Experience with GraphQL APIs
- Exposure to complex, large-scale distributed backend systems

Benefits

- Exposure to advanced AI and LLM-powered engineering workflows
- Collaborative, technology-driven team culture with opportunities for upskilling
- Work on high-visibility projects with real-world impact
- Hybrid work flexibility (virtual & onsite)
- Streamlined 2-step interview process

How to Apply

Ready to accelerate your career in backend engineering and AI? Submit your resume through our job portal. Qualified candidates will be contacted promptly for the first round (virtual) interview.