Full Stack Java Developer

The Senior Full-Stack Java Engineer will architect, develop, and maintain enterprise-grade applications while driving cloud modernization initiatives. This role bridges robust legacy architectures-including enterprise batch systems, server-side web platforms, and mainframe integrations-with cloud-native microservices on AWS. The ideal candidate pairs deep expertise in Java/Spring and Oracle database persistence with modern event-driven architectures, automated test pipelines, and AI-assisted development workflows., Full-Stack & Batch Engineering: Architect and deliver resilient RESTful APIs, batch processing services, and web user interfaces using Java, J2EE, Spring Framework, Hibernate, and established web frameworks (Struts, JSP, jQuery).

Cloud & Microservices Modernization: Deconstruct and migrate monolithic/legacy application components into event-driven microservices utilizing Kafka, Kubernetes, and AWS native services (EC2, ECS, SQS, ElastiCache, DynamoDB).

Mainframe Integration & Migration Strategy: Collaborate cross-functionally with mainframe engineers, enterprise architects, and Java teams to design data contracts, migration plans, and real-time/batch integration patterns.

Test Automation & Quality Engineering: Build and enforce comprehensive automated testing suites across the software lifecycle, utilizing Playwright for end-to-end and functional testing, alongside unit, regression, and performance frameworks.

DevOps & Continuous Delivery: Maintain and optimize CI/CD pipelines via Jenkins and Git; deploy and operate containerized applications across cloud infrastructure.

Modern Tooling & Productivity: Accelerate delivery velocity and maintain code consistency using cutting-edge developer tooling, specifically GitHub Copilot and VersionOne for Agile lifecycle management.

Experience Level: 7 years Java experience, 3 years Full Stack experience, * Must expertise in building RESTful API Applications with promises of high throughput, strong resilience, and secure controls

• Must be expert in web page development, including Struts, JavaScript, TypeScript, JSP, HTML, JQUERY, CSS, JSON, etc.

• Must expertise in Java, including J2EE, Spring framework, and Struts to maintain and expand current applications.

• Must expertise with Kubernates, containerized micro-services, event-driven application with Kafka.

• Must experience in writing functional tests with automation testing framework, like Playwright

Required Experience

• 7+ years of professional Java software development experience, including at least 3 years in full-stack engineering.
• Proven track record architecting, developing, and supporting enterprise web applications and high-throughput batch systems.
• Strong hands-on experience with Oracle database design, complex SQL query development, and ORM persistence using Hibernate within the Spring Framework.
• Solid background in cloud engineering, deployment automation, and DevOps workflows on AWS.
• Comprehensive experience implementing test automation across unit, functional, regression, and performance testing suites.
• Hands-on experience developing automated end-to-end test suites using Playwright and integrating them into Jenkins CI/CD pipelines.
• Demonstrated experience delivering software within Agile/Scrum frameworks using VersionOne (Digital.ai Agility).

Required Technical Skills

• Core Java & Frameworks: Advanced expertise in Java/J2EE and the Spring Framework (e.g., Spring Boot, Spring Batch).
• API Architecture: Expert-level capability in designing, building, securing, and maintaining scalable RESTful APIs.
• Frontend Technologies: Strong proficiency in server-side and client-side web development using HTML, CSS, JavaScript/jQuery, JSON, JSP, and Apache Struts.
• Distributed Architecture: Working knowledge of microservices patterns, container orchestration with Kubernetes, and event-driven messaging architectures using Apache Kafka.
• AWS Cloud Services: In-depth knowledge of core AWS infrastructure and managed services, including EC2, ECS, SQS, ElastiCache, DynamoDB, and streaming data solutions.
• Version Control: Strong command of modern Git workflows, repository management, and version control best practices.
• System Migration: Ability to evaluate modern frameworks and emerging technologies to drive legacy system modernization and cloud migrations.
• AI-Assisted Development: Practical experience leveraging advanced AI developer tooling, specifically GitHub Copilot, to optimize code generation and delivery velocity., * Migration & Integration Communication: Ability to articulate complex architectural concepts, reconcile legacy business logic, and collaborate smoothly across mainframe and distributed engineering teams.
• Analytical Problem Solving: Strong diagnostic capabilities to troubleshoot production issues across distributed cloud services, high-throughput batch jobs, and database tiers.
• Quality & Detail Focus: Commitment to writing clean, maintainable, self-documenting code with proactive security, automated test coverage, and documentation standards.
• Autonomous Execution: Comfort navigating ambiguous migration requirements, balancing immediate system stability with strategic technical debt reduction.