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Full Stack Engineer
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Key Responsibilities:Design and develop scalable, secure, and maintainable web applications end-to-end.Architect backend systems, APIs, and databases to support frontend functionalities.Implement modern, responsive UI designs using best-in-class frontend frameworks.Write clean, reusable, and optimized code following industry best practices.Ensure high performance, reliability, and responsiveness of applications.Collaborate with cross-functional teams including Product Managers, Designers, and QA Engineers.Conduct code reviews, mentor junior engineers, and foster technical excellence.Lead technical decisions, architecture discussions, and performance optimization initiatives.Stay updated with emerging technologies and frameworks to continuously improve product quality and team efficiency.Technical SkillsFrontend:Expertise in React.js / Next.js, TypeScript, HTML5, CSS3, and JavaScript (ES6+).Familiarity with Redux, Tailwind CSS, or Material UI.Strong understanding of frontend performance optimization and responsive design.Backend:Strong experience with Node.js, Express.js, or NestJS.Proficiency in designing and integrating RESTful APIs and GraphQL services.Experience with microservices architecture and event-driven systems.Hands-on experience with databases such as PostgreSQL, MongoDB, or MySQL.Knowledge of authentication/authorization (OAuth2, JWT) and security best practices.Other Skills:Experience with CI/CD pipelines and DevOps tools (Docker, Kubernetes, AWS, GCP, or Azure).Solid understanding of Git and testing frameworks (Jest, Mocha, Cypress).Strong knowledge of system design, scalability, and cloud architecture principles.Qualifications:Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.10+ years of professional experience in full-stack development.Proven track record of delivering large-scale, production-grade web applications.Excellent problem-solving, analytical, and communication skills.Nice to Have:Experience with serverless architecture (AWS Lambda, Firebase Functions, etc.).Exposure to AI/ML integrations, data pipelines, or analytics dashboards.Prior experience in startups or fast-paced product environments.
