Senior Java AI Developer - Senior

Smart IMS•Austin, TX

1d•Onsite

About The Position

As a Senior Java AI Developer, you will lead the design and development of cloud-native, event-driven applications while driving AI-assisted software engineering practices across the SDLC. You will leverage Java, Spring Boot, Kafka, cloud platforms, and Generative AI technologies to build scalable, resilient, and intelligent enterprise solutions.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
7+ years of experience developing Java, Spring Boot, and cloud-based enterprise applications.
Strong expertise in Kafka, distributed systems, event-driven architectures, and RESTful services.
6+ years of experience with cloud-native technologies, Docker, Kubernetes, microservices, and CI/CD practices.
Experience with cloud platforms such as AWS, GCP, or PCF.
Hands-on experience using GenAI tools such as GitHub Copilot, Claude Code, GPT, Gemini, or similar platforms.
2+ years of experience implementing AI/ML solutions or AI-assisted engineering practices.
Experience with MongoDB, Aerospike, PostgreSQL, Oracle, or other relational and NoSQL databases.
Strong understanding of observability, resiliency, performance engineering, and production support practices.
Experience with Agile methodologies, Jira/Confluence, system modernization initiatives, and financial services environments preferred.

Responsibilities

Lead the design and development of scalable Java-based, cloud-native applications and microservices.
Develop event-driven solutions using Kafka, REST APIs, and distributed system architectures.
Drive modernization initiatives from legacy platforms to cloud-native and microservices-based solutions.
Implement and optimize CI/CD pipelines, containerized deployments, and cloud environments.
Leverage GenAI tools to accelerate development, testing, troubleshooting, and documentation.
Establish AI-assisted engineering standards, workflows, and best practices across teams.
Collaborate with architects, product owners, and engineering teams to deliver business solutions.
Perform code reviews and ensure application quality, security, resiliency, and performance.
Mentor developers on Java, cloud-native development, event streaming, and AI-enabled engineering.
Support production troubleshooting, observability, performance tuning, and operational readiness.