Talent.com
Full Stack Engineer

Full Stack Engineer

EvonencePune, India
1 day ago
Job description

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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Stack Engineer • Pune, India