Role Description We are looking for a skilled and motivated Application Developer to join a small team focused on designing, developing, and maintaining a business critical internal tooling platform dedicated to HPC/AI cluster design. This role leverages modern AI-assisted development ("vibe coding") using tools such as Claude and Gemini, enabling rapid innovation and high-quality software delivery. You will play a key role in shaping a robust, scalable application used by pre-sales, solution review, factory and delivery teams to model, design, and optimize high-performance computing (HPC) and AI infrastructure. Key Responsibilities - Continue to develop, productize and maintain a business critical internal application for HPC/AI cluster design and simulation having dependencies on other internal critical applications. - Use AI-assisted development tools (Claude, Gemini, etc.) to accelerate coding, prototyping, and problem-solving. - Participate in the full software lifecycle: design, implementation, testing, deployment, and maintenance. - Collaborate with HPC, infrastructure, and AI stakeholders to translate requirements into technical solutions. - Ensure performance, scalability, and reliability of the application. - Improve and automate development workflows using CI/CD best practices. - Contribute to code reviews, documentation, and knowledge sharing. - Continuously explore new tools, frameworks, and approaches to enhance productivity and product quality while maintaining production grade standards. Qualifications - Strong experience in software development in a Linux environment. - Familiarity with AI-assisted coding tools (e.g., Claude, Gemini, Copilot) and modern development practices. - Experience building and maintaining web applications or internal tooling. - Understanding of HPC, distributed systems, or AI infrastructure (clusters, GPUs, networking, scheduling) is highly desirable. - Knowledge of APIs and backend development. - Frontend frameworks (React, Vue, or equivalent). - Databases (SQL/NoSQL). - Version control (Git). - Experience with CI/CD pipelines, automation, and DevOps practices using AI-driven tooling. - Ability to troubleshoot, debug, and optimize complex systems. Soft Skills & Mindset - Reactive and proactive: able to quickly respond to issues and adapt to changing priorities. - Open-minded: embraces new ideas, tools, and ways of working (especially AI-driven development). - Eager to learn: continuously develops skills and stays up to date with emerging technologies. - Knowledge sharing: actively contributes to team growth by sharing insights, best practices, and feedback. - Collaborative: works effectively with cross-functional teams. - Autonomous: capable of driving tasks independently while maintaining alignment with team goals. Nice to Have - Experience in HPC cluster design, capacity planning, or performance modeling. - Exposure to AI workloads and infrastructure constraints. - Exposure to network fabric design and implementation. - Familiarity with containerization. Benefits - Work on cutting-edge AI-assisted development workflows. - Contribute to a strategic tool for HPC/AI infrastructure design. - Be part of a culture that values innovation, learning, and collaboration. - Opportunity to grow your expertise in both software engineering and AI/HPC domains.