Senior Java Software Engineer (+Vue)

Overview

A highly experienced Java developer with 10+ years of deep programming expertise who thrives on solving complex problems independently and in teams. Primarily skilled in Java 8+, complemented by strong proficiency in Vue.js, Azure cloud services, and Cypress for robust automation testing. Comfortable navigating multiple programming paradigms and equipped to work on full-stack, cloud-native, and AI-assisted development at pace and quality.

Key Responsibilities

• Design and develop scalable backend microservices and APIs using Java (Spring Boot) with maintainable and testable code.

• Create responsive and modular front-end applications with Vue.js or similar , adhering to best UI/UX and component architecture.

• Deploy and manage cloud infrastructure on Azure, leveraging DevOps pipelines, containers (Docker/Kubernetes), and infrastructure as code.

• Automate end-to-end testing using Cypress and enforce test-driven development practices.

• Integrate AI-powered tools and frameworks to automate repetitive development and testing tasks, enabling focus on core business logic.

• Collaborate globally with product owners, architects, and developers, ensuring clear communication and timely delivery.

• Mentor and guide peers to promote clean code, best practices, and continuous learning.

• Own commitments and deliver high-quality software within deadlines.

Essential Skills and Tools

• Java (8+): In-depth knowledge of core Java, concurrency, JVM internals, and functional programming paradigms.

• Frameworks: Expertise in Spring Boot, Spring Security, Hibernate, and reactive frameworks (WebFlux).

• Frontend: Strong skills in Vue.js, modern JavaScript/TypeScript, and CSS preprocessors.

• Cloud Platforms: Proficient with Microsoft Azure or similar services including App Services, AKS, and Azure DevOps.

• Testing: Advanced use of Cypress for UI testing; JUnit 5 and Mockito for backend unit and integration tests.

• Build and Dependency Management: Maven, Gradle with effective use of repositories.

• Version Control & CI/CD: Git, branching strategies, Jenkins/GitHub Actions/Azure Pipelines.

• Containers & Orchestration: Docker, Kubernetes (AKS).

• Automation & Monitoring: Familiarity with setup and use of monitoring/logging (Prometheus, ELK stack).

• AI Development Tools: Practical experience with AI coding assistants (e.g., GitHub Copilot), code quality tools (SonarQube), and AI/ML libraries.

• Database Technologies: SQL & NoSQL (PostgreSQL, MongoDB), schema design, and optimization.

• Collaboration & Agile: Experience working in distributed teams with Scrum/Agile methods, excellent verbal and written communication.

Attributes

• Self-disciplined and reliable, delivering commitments on schedule with excellence.

• Fast learner with a passion for new technologies and AI/automation integration.

• Strong problem solver who values code quality and maintainability.

• Team player willing to take on challenges and mentor others.