Build intuitive web interfaces for data visualization, reporting, and team collaboration using modern framework Implement seamless integrations between internal systems and external tools using APIs and event-driven pattern Apply AI-assisted development practices—use LLMs for requirements management, code generation, testing, documentation, refactoring, and debuggin Set up and maintain QA environments, write automated tests, and ensure high reliability of the syste Use AI tools to generate and maintain technical documentation in Confluence and manage tasks in Jir Explore and prototype AI-driven workflows for requirements analysis, code reviews, and deployment automatio Collaborate with engineers to gather insights and refine the data model and reporting features Familiarity in JavaScript (React.js, Node.js) or Python (Django, FastAPI) Familiarity with database design (SQL or NoSQL) and RESTful API development Basic understanding of full-stack web development and software engineering principles Interest in AI/ML and experience using LLMs (e.g., GitHub Copilot, Cursor, Claude Code, Kiro.dev or similar) in coding workflows Strong written and spoken English communication skills Meticulous attention to detail and a problem-solving mindset Currently pursuing a Bachelor's or Master's degree in Information Technology, Computer Science, Data Engineering or a related field Eagerness to learn and adapt in a fast-paced, innovation-driven environment Experience with cloud platforms (AWS, Azure, or GCP) Working knowledge of Git, CI/CD pipelines, and DevOps practices Familiarity with testing tools like Selenium or Playwright Exposure to data visualization libraries (e.g., Chart.js, Plotly, Dash) Basic understanding of infrastructure as code or containerization (Docker, Terraform)
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