Job Title: Senior Java AI Developer - Senior
Duration (Contract): 6 Months
Client Location: Austin, TX
Location Preference: Onsite
Job Description:
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.
Key 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.
Required Skills, Experiences, Education, and Competencies:
- 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.
The hourly range for roles of this nature are $60.00 to $80.00/hr. Rates are heavily dependent on skills, experience, location, and industry.
cyberThink is an Equal Opportunity Employer.
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