Full Stack Engineer

5 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:

● Own the end-to-end development of features, from technical design and implementation

to deployment and maintenance.

● Collaborate closely with PMs and BAs to translate business requirements and user

stories into robust technical solutions.

● API Design: Design, build, and document robust, scalable, and secure APIs, with a

strong emphasis on RESTful principles.

● System Architecture: Contribute to the overall system architecture, ensuring all

components are scalable and integrate seamlessly.

● Security: Implement security best practices to prevent common web vulnerabilities such

as XSS, CSRF, and SQL injection.

● Actively participate in Agile/Scrum ceremonies, including sprint planning, daily stand-

ups, and retrospectives, to drive project momentum.

● Design and manage data solutions using both relational (MS SQL) and non-relational

(MongoDB) databases.

● Architect and manage CI/CD pipelines to ensure smooth, automated deployments to

both on-premises and cloud environments.


Required Skills & Qualifications:

● 5 years of professional software development experience.

● Strong proficiency in front-end development using modern JavaScript frameworks like

Angular and React.

● Demonstrated experience in back-end development with technologies like Node.js (with

expertise in frameworks like Express.js) or Python (with frameworks like Django,

FastAPI, or Flask).

● Expertise in database design and management with SQL Server, and familiarity with

non-relational databases like MongoDB.

● A strong understanding of Large Language Models (LLMs) and how they can be

leveraged for automating tasks.


Nice to have

● Hands-on experience building and managing CI/CD pipelines and deploying applications

to cloud or on-premises servers.

● Excellent communication and problem-solving skills.

Nice-to-Have Skills:

● Hands-on experience creating applications or solving problems using AI/LLM/ML

models.

● Prior experience in the Customer Experience (CX) or Enterprise Operations (E Ops)

domains.

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