Backend Java Developer
Backend Java Developer - AI-Augmented Engineering EnvironmentLocation: Pasadena, CA, 91101 (Hybrid - Onsite Interview Required)Job Type: 6+ Month Contract (C2C)Project: Advanced AI-Integrated Backend SystemsAbout the RoleJoin 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.ResponsibilitiesDesign, 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 Experience8+ years as a Java Developer focused on backend systemsExpertise in Java, Spring Boot, Microservices ArchitectureStrong experience with RESTful APIs, Kafka/message queues, event-driven systemsPractical knowledge of AWS cloud services and cloud deployment strategiesHands-on with CI/CD pipelines, build tools, and DevOps practicesExperience with Docker, Kubernetes, and container orchestrationFamiliarity with SQL (Postgres) and NoSQL databasesProficient in testing frameworks and E2E testing methodologiesSkilled with Git version controlDirect experience integrating and leveraging AI agent workflows (Copilot, Amazon Q)Agile development environment experienceExcellent communication and teamwork skillsPreferred SkillsExperience with GraphQL APIsExposure to complex, large-scale distributed backend systemsBenefitsExposure to advanced AI and LLM-powered engineering workflowsCollaborative, technology-driven team culture with opportunities for upskillingWork on high-visibility projects with real-world impactHybrid work flexibility (virtual & onsite)Streamlined 2-step interview processHow to ApplyReady 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.