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GENERAL DESCRIPTION:
Lead the design, development, and modernization of scalable enterprise applications and cloud-native platforms. Provide technical leadership across architecture, software development, and system integration while contributing hands-on code. Drive engineering standards, microservices adoption, cloud strategy, DevOps practices, and AI-enabled development initiatives to deliver secure, high-performance, and maintainable solutions.
RESPONSIBILITIES:
Responsibilities include:
- Design enterprise Java 21+ architectures and contribute directly to coding
- Lead the development of scalable, high-performance cloud-native applications
- Create prototypes and reference implementations to validate architecture decisions
- Contribute production code for complex features and integrations
- Define and enforce architecture and coding standards
- Document architectural decisions and system interactions
• Lead code and design reviews
- Build microservices and distributed systems
• Design APIs and integration patterns
- Collaborate with product and engineering teams
• Troubleshoot complex production issues
- Drive CI/CD, automation, and DevOps practices
- Mentor engineers through hands-on guidance
- Evaluate and adopt new technologies, including AI tools
SKILLS AND QUALIFICATIONS:
The ideal candidate should have:
- A strong balance of architecture and hands-on development
- Ability to work across design and implementation
• Strong problem-solving skills
• Experience leading technical decisions
• Strong communication skills
- Experience working in Agile environments
TECHNICAL REQUIREMENTS
- 8+ years of Java development experience, including architectural responsibilities.
- Deep expertise in Java, Spring Boot, Spring MVC and Spring Security. • Experience with Spring Could is a plus • Expertise with JDBC-based data access
- Experience with caching strategies (distributed + local fallback)
- Experience with microservices and distributed systems
- Strong experience with REST APIs and integrations
• Strong MySQL/Aurora SQL skills
- Experience with cloud platforms such as AWS or Azure
• Experience with Docker and Kubernetes
• Experience with CI/CD tools
- Strong understanding of system performance and scalability
AI / MODERN ENGINEERING EXPERIENCE
- Experience with AI-assisted development tools
- Familiarity with AI-enabled applications and workflows
- Understanding of data pipelines and automation solutions
- Exposure to generative AI concepts is a plus
WORK EXPERIENCE (PREFERRED)
- Experience with Azure DevOps or comparable tools
- Experience with ERP or supply chain platforms
- Experience with security frameworks and best practices
• Experience modernizing legacy systems
EDUCATION
- Bachelor’s or master’s degree in computer science or a related field
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