What will you actually be doing? Designing, developing, testing, deploying, and maintaining web applications using modern front-end and back-end technologies, including Node.js, React, TypeScript, JavaScript, and Python. Leveraging AI-powered development tools such as Claude Code to accelerate development workflows, automate repetitive tasks, and improve code quality. Leading server-side development using microservices architecture to ensure scalable and robust application performance. Driving the design and implementation of micro frontend architecture, leveraging the industry's latest trends. Mentoring junior and mid-level engineers through code reviews, pair programming, and technical guidance. Collaborating with cross-functional teams, including product managers, designers, and other developers, to define technical direction and deliver high-quality applications. Making architectural decisions and championing engineering best practices across the team. Integrating AI and LLM capabilities into development pipelines and product features where applicable. What should you bring to the table? Bachelor's degree in CS/EE from a leading university.6+ years of experience with web technologies. Proven track record as a Senior Full Stack Developer or similar role, with a strong portfolio of successful projects demonstrating technical leadership. Deep experience with server-side development using Node.js. Strong understanding and hands-on experience with web technologies, architecture, and design patterns. Experience using AI-assisted development tools (e.g., Claude Code, Cursor) to enhance productivity, generate and review code, and streamline engineering workflows. High standards for code quality, testing, and performance, with experience establishing these standards for a team. Proven experience working on large-scale codebases shared by multiple teams. Solid understanding of web architecture, RESTful API design, and microservices. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Excellent problem-solving skills, with a keen eye for detail and a strong commitment to delivering high-quality work. Strong communication and interpersonal skills, with the ability to influence and collaborate effectively across teams. Experience building or integrating LLM-powered features into production applications. Experience with CI/CD pipelines that incorporate AI-assisted code review or testing.
