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Full Stack Engineer

Sales awork

Sales awork
Job Type   /   Job Level
Full-time   /   Fresh/Entry Level
Job Location
Bucharest Metropolitan Area
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Responsibilities

Design, develop, and maintain backend services and APIs

Build and evolve RESTful and/or GraphQL APIs consumed by web applications

Implement business logic, data models, and service integrations

Ensure backend performance, reliability, and scalability

Collaborate with front-end engineers to support UI requirements

Write clean, maintainable, and well-tested code

Debug and resolve production and non-production issues

Participate in code reviews and apply feedback

Contribute to system design discussions and technical decisions

Write unit and integration tests

Participate in Agile development processes


Must-Have Qualifications

Strong experience with Node.js for backend development

Proficiency in TypeScript and modern JavaScript (ES6+)

Experience designing and building RESTful APIs and/or GraphQL APIs

Experience with data modeling and working with databases (SQL and/or NoSQL)

Familiarity with authentication and authorization mechanisms

Understanding of backend performance, scalability, and reliability concepts

Experience writing unit and integration tests for backend services

Familiarity with Git and collaborative development workflows

Experience working in Agile/Scrum environments

Ability to independently deliver well-scoped backend features

Strong problem-solving and debugging skills

Clear written and verbal communication

Attention to detail and focus on code quality


Nice-to-Have (Front-End & Platform)

Experience with React and component-based front-end development

Understanding of HTML, CSS, and responsive design

Experience consuming APIs from the front end

Exposure to component libraries or design systems Platform & Additional Skills

Familiarity with CI/CD pipelines

Basic knowledge of front-end testing (Jest, React Testing Library)

Awareness of web accessibility (WCAG) and SEO

Exposure to AI-driven or generative AI features, including integrating LLM APIs into applications (e.g., chat, summarization, AI-assisted workflows)

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