Senior Java Cloud Engineer

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.

• 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.