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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Java AI Developer - **Company:** Everforth Apex - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Spring Security, Agile Methodology, Artificial Intelligence, Amazon Web Services, Confluence, JIRA, Automation of Tests, Cloud Computing, Software Quality, Code Review, Databases, Continuous Integration, Distributed Systems, Java Web Services, PostgreSQL, Enterprise Messaging Systems, MongoDB, NoSQL, Oracle (Applications), Systems Development Life Cycle, Software Engineering, Aerospike, Google Cloud, Enterprise Software Applications, Cloud Platform System, Spring Cloud, GitHub Copilot, Istio, Large Language Models, Grafana, Prompt Engineering, Spring-boot, Generative AI, Event Driven Architecture, Kubernetes, Information Technology, Apache Kafka, Reactive Programming, Api Gateway, Restful APIs, Splunk, Docker, Microservices - **Published:** August 6, 2026 - **Apply:** https://www.dice.com/job-detail/a8773f9a-6507-4109-81ce-671b931c6e5f ## About the Role * 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. ## Description * 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. ## Related Videos - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [Rate-limiting using eBPF and Istio: How to protect your SaaS customers from themselves](https://www.wearedevelopers.com/videos/100220-rate-limiting-using-ebpf-and-istio-how-to-protect-your-saas-customers-from-themselves) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Building the Future of Java: AI Agents, MCP, and Next-Gen App Development](https://www.wearedevelopers.com/videos/100113-building-the-future-of-java-ai-agents-mcp-and-next-gen-app-development) - [Get started with securing your cloud-native Java microservices applications](https://www.wearedevelopers.com/videos/123-get-started-with-securing-your-cloud-native-java-microservices-applications) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [6 Reasons to Use Java For Your Next AI Project](https://www.wearedevelopers.com/magazine/111-6-reasons-to-use-java-for-your-next-ai-project) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)