Senior Java Architect

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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, Dev Ops practices, and AI-enabled development initiatives to deliver secure, high-performance, and maintainable solutions.

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 Dev Ops practices
• Mentor engineers through hands-on guidance
• Evaluate and adopt new technologies, including AI tools

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

• 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

• 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

• Experience with Azure Dev Ops or comparable tools
• Experience with ERP or supply chain platforms
• Experience with security frameworks and best practices
• Experience modernizing legacy systems

• Bachelor’s or master’s degree in computer science or a related field