Senior Java Cloud Engineer
- IT FACE Inc.
2 Hours Ago
NA
W2
Remote
15-20 Years
Required Skills: Java, Spring Boot, REST APIs
Job 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.
Required Qualifications
- 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.
Primary Responsibilities
- 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.
