Full Stack Engineer

Experience Level - 4 to 7 Years

Location - Pune

Frontend

• JavaScript (ES6+): Strong understanding of core JavaScript concepts like closures, promises, async/await, and event handling.
• Frameworks/Libraries :
• React.js or Vue.js : Experience with component-based architecture, state management (e.g., Redux, Vuex), hooks, and context.
• TypeScript : Experience with strongly-typed JavaScript.
• Next.js/Nuxt.js : Knowledge of server-side rendering (SSR) and static site generation (SSG).
• CSS Frameworks : Knowledge of Bootstrap, Tailwind CSS, or similar.
• Frontend Build Tools : Webpack, Babel, Vite, or similar.
• Understanding of Flutter and React Native would be added advantage
• Must aware of frontend hosting platforms like Firebase , Subabase , Vercel

Backend Skills:

• Node.js : Proficiency in building RESTful APIs and microservices.
• Express.js or Koa.js : Familiar with building web applications and handling HTTP requests/responses.
• Database Management :
• SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, DynamoDB).
• Proficiency in writing complex queries, understanding joins, indexing, and optimization.
• Authentication & Authorization :
• Experience with JWT , OAuth2, or other authentication strategies.
• API Design :
• RESTful API principles.
• Knowledge of gRPC, GraphQL and its implementations.

Required skills and qualifications

• Bachelor's degree in Computer Science, Software Engineering or a related field.
• In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch.
• Experience with front-end development using HTML, CSS, and JavaScript.
• Familiarity with database technologies such as SQL and NoSQL.
• Excellent problem-solving ability with solid communication and collaboration skills.

Preferred skills and qualifications

• Experience with popular Python frameworks such as Django, Flask or Pyramid.
• Knowledge of data science and machine learning concepts and tools.
• A working understanding of cloud platforms such as AWS, Google Cloud or Azure.

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