Java Developer - AI; GitHub Copilot, Claude Code

Location:
Montreal
- Hybrid in office 3 days a week

Face-2-Face interview round required with Client

We are seeking a highly skilled Java Developer with 7-10 years of experience in designing and building enterprise-grade applications. The ideal candidate should have strong expertise in Core Java, Data Structures & Algorithms, Distributed Systems, Multi-threaded Architecture, and Linux environments. Experience with AI-assisted development tools such as Git Hub Copilot and Claude Code is highly desirable to accelerate software development and improve engineering productivity.

• Design, develop, and maintain scalable, high-performance Java-based applications.
• Build and optimize distributed and microservices-based systems.
• Develop robust, multi-threaded and concurrent applications with a focus on performance and reliability.
• Participate in solution design, architecture discussions, and technical decision-making.
• Analyze complex business requirements and translate them into technical solutions.
• Work in Linux/Unix environments for development, deployment, and troubleshooting.
• Utilize AI-powered developer tools such as Git Hub Copilot, Claude Code, or similar platforms throughout the Software Development Life Cycle (SDLC).
• Write clean, maintainable, and well-documented code following best practices.
• Collaborate with cross-functional teams in an Agile environment.
• Participate in code reviews, testing, debugging, and production support activities.

• 7-10 years of strong hands-on experience in Java development.
• Excellent knowledge of Data Structures, Algorithms, and Object-Oriented Programming (OOP) concepts.
• Strong experience in designing and developing distributed systems.
• Deep understanding of multi-threading, concurrency, and performance tuning.
• Solid experience working in Linux/Unix environments.
• Basic understanding of Python for scripting and automation.
• Experience with REST APIs, Microservices Architecture, and modern software design patterns.
• Familiarity with AI-powered development tools such as Git Hub Copilot, Claude Code, or equivalent.
• Strong analytical, problem-solving, and communication skills.

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Exposure to CI/CD pipelines and Dev Ops practices.
• Understanding of software security and performance optimization.
• Strong understanding of Agile/Scrum methodologies and iterative software development practices.
• Ability to work effectively in cross-functional teams and participate in Agile ceremonies including sprint planning, daily stand-ups, retrospectives, and backlog grooming.