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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Java Cloud Engineer - **Company:** It Face Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, IBM System I, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, COBOL (Programming Language), Static Program Analysis, Code Generation, Software Quality, Continuous Integration, Distributed Systems, Python (Programming Language), Mainframes, MongoDB, Performance Tuning, Rapid Prototyping Process, OpenAI, Microsoft Copilot, Reverse Engineering, Software Engineering, Web Application Frameworks, Enterprise Application Integration, Enterprise Software Applications, Spring Cloud, GitHub Copilot, ReactJS, Retrieval-Augmented Generation, Large Language Models, Spring-boot, AI Coding Agents, Event Driven Architecture, Containerization, Kubernetes, Claude, Api Design, Cloud Optimization, Restful APIs, Devsecops, Docker, Legacy Systems, Databricks, Golang, Microservices - **Published:** October 22, 2026 - **Apply:** https://www.dice.com/job-detail/998c2cb7-7e12-4bc4-a3c6-7aa7ae1034b0 ## About the Role * 15+ years of professional software engineering experience. * Proven experience delivering enterprise applications from design through production. * Strong hands-on expertise in Java, Spring Boot, and microservices architecture. * Experience with Microsoft Azure cloud services and cloud-native application development. * Experience modernizing legacy enterprise platforms, including COBOL, Mainframe, IBM i/AS400, or monolithic applications. * Experience with large-scale enterprise implementation and transformation programs. * Experience building high-volume transactional systems, including claims, payments, healthcare, financial services, or other mission-critical applications. * Strong problem-solving skills and the ability to work independently in complex environments. Technical Skills * Java, Spring Boot, REST APIs, and microservices. * Microsoft Azure cloud services. * Golang and/or Python. * Databricks and MongoDB. * Kubernetes, Docker, and containerization. * API-first architecture and event-driven systems. * React and modern web frameworks. * CI/CD pipelines, DevSecOps, and automated testing. * Enterprise integration patterns and distributed systems. * Performance optimization, scalability engineering, observability, and operational monitoring. AI Engineering Expertise * Hands-on experience with GitHub Copilot Enterprise, OpenAI/Codex tools, Claude, or comparable AI development tools. * Experience with autonomous coding agents and AI-assisted software development life cycle (SDLC) platforms. * Ability to use AI tools for rapid prototyping, proof-of-concept development, and code generation. * Experience with legacy code analysis, reverse engineering, code conversion, and modernization acceleration. * Experience generating automated tests and technical documentation using AI. * Ability to demonstrate measurable improvements in engineering productivity through AI-assisted development. * Familiarity with agentic engineering workflows and AI-enabled application development using LLMs, RAG, and copilots. Preferred Qualifications * Healthcare, pharmacy benefit management (PBM), pharmacy claims, reimbursement, or payment processing experience. * Mainframe-to-cloud migration or COBOL modernization experience. * Experience optimizing large-scale batch-processing workloads. * Knowledge of FinOps and cloud cost optimization. * Familiarity with claims adjudication, pricing, reimbursement, and financial transaction platforms. * Experience collaborating with Microsoft, enterprise technology teams, and large system integrators. ## Description We are seeking an experienced Senior Java Cloud Engineer with strong expertise in Java, Spring Boot, microservices, Azure cloud services, and AI-assisted software engineering. The ideal candidate will have experience modernizing legacy enterprise applications, building scalable cloud-native solutions, and leveraging AI coding tools to accelerate software development and transformation initiatives., * Design, develop, test, and deploy scalable cloud-native applications and services. * Build and maintain Java-based APIs, microservices, distributed systems, and event-driven architectures. * Lead modernization initiatives involving legacy platforms, COBOL, Mainframe, IBM i/AS400, and monolithic applications. * Leverage AI coding agents and AI-assisted engineering practices to accelerate software delivery and legacy modernization. * Collaborate with business stakeholders, Microsoft, vendors, and implementation partners to deliver enterprise transformation outcomes. * Translate business requirements into technical designs and production-ready solutions. * Drive architecture, code quality, performance, security, scalability, and engineering best practices while remaining hands-on. * Implement and maintain CI/CD pipelines, automated testing, DevSecOps practices, and operational monitoring. * Mentor engineers and promote modern cloud engineering and AI-enabled development practices.