Java AI Developer

• Design, develop, and modernize Java-based applications using Spring Boot, Kafka, REST APIs, and microservices.
• Build scalable, resilient, and observable cloud-native solutions on platforms such as Google Cloud Platform, AWS, or PCF.
• Partner with architects, product owners, and engineering teams to deliver high-quality technical solutions.
• Leverage GenAI tools (GitHub Copilot, Claude Code, Gemini, etc.) to accelerate development, testing, troubleshooting, documentation, and modernization efforts.
• Establish and promote AI-assisted engineering best practices, including prompt engineering and validation standards.
• Drive code quality, performance, resiliency, observability, and production readiness.
• Mentor engineers and provide technical leadership across development initiatives.
• Support transformation efforts from legacy platforms to distributed, event-driven architectures.

• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 7+ years of software engineering experience with Java and enterprise application development.
• Strong expertise in:
• Java
• Spring Boot
• Kafka
• REST APIs
• Microservices
• Event-Driven Architectures
• Experience designing scalable, high-availability distributed systems.
• 6+ years of cloud-native development experience using Google Cloud Platform, Kubernetes, Docker, and CI/CD pipelines.
• Experience with messaging platforms, observability tools (e.g., Splunk), and production support.
• Database experience with relational and NoSQL technologies such as PostgreSQL, Oracle, MongoDB, or Aerospike.
• Experience leading technical delivery, solution design, code reviews, and engineering standards.
• Hands-on experience using AI-assisted development tools across the SDLC.
• Knowledge of Agile methodologies, Jira, and Confluence.
• Strong communication, leadership, and collaboration skills., * Master’s degree in a related technical field.
• Experience with Spring Cloud, Spring Security, Reactive Programming, API Gateways, or Service Mesh technologies.
• Experience with TDD, BDD, QA automation, and quality engineering practices.
• Background in performance engineering, resiliency testing, and large-scale platform modernization.
• Familiarity with AI technologies such as LLMs, RAG, vector databases, and agent-based workflows.
• Financial services or broker-dealer industry experience.

Ideal Candidate

A technically strong Java engineer and team leader who combines cloud-native development expertise with AI-enabled engineering practices, thrives in modernization initiatives, and is passionate about building scalable, reliable enterprise solutions.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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