Full Stack Engineer

2 weeks ago


Bangalore, India Quenext Decision Science Technology Full time

You will be part of the team that is delivering large transformational projects to energy utilities, banks and government bodies utilizing our in-house patented AI driven products.   We are seeking a highly-skilled Full Stack Developer to produce scalable software solutions. You will be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. Design, develop, and maintain scalable ML/Al applications using Python / JavaScript. - Develop and optimize SQL queries and manage databases to support application functionalities. - Utilize cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure to deploy, monitor, and scale applications. - Ability to design ML Pipelines - Collaborate with cross-functional teams to define project requirements and create technical specifications. - Write clean, maintainable, and efficient code while adhering to best practices and coding standards. - Troubleshoot and resolve software issues and bugs in a timely manner. - Participate in Agile methodologies, including sprint planning, stand-ups, and retrospectives. Proven experience as a Full Stack Developer or similar role with 5 years of experience or more - Bachelor's degree in Computer Science, Information Technology, or a related field. - Proven experience in software development using Python and JavaScript (e.g., Node.js, React, Angular, or Vue.js frameworks). - Strong knowledge of SQL and experience with PostgreSQL/MongoDB databases. - Hands-on experience with cloud platforms such as GCP, AWS, Azure. - Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js) - Experience with version control systems like Git. - Proficient understanding of web markup, including HTML5 and CSS3. - Experience with containerization technologies like Docker and orchestration platforms like Kubernetes. - Familiarity with CI/CD pipelines and automated deployment tools. - Background in machine learning and data science is a plus. -


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