Full Stack Developer

Role: Engineer

Required Skills: Node JS | React

Experience: 6 - 8 Years

Function: TECHNOLOGY

Apply By: 2026-11-20

Must Have Technical/Functional Skills

Front-End Engineering:

Deep expertise in React, TypeScript, and JavaScript.

Proven experience in Data Visualization (e.g., D3.js, Chart.js, Recharts, or similar libraries).

Back-End Engineering:

Strong proficiency in Node.js, Python, and C#.

Ability to design and implement RESTful APIs and microservices.

Cloud & DevOps:

Hands-on experience with cloud platforms: AWS and GCP.

Extensive knowledge of containerization and orchestration: Docker, Kubernetes, and Helm.

Messaging & Streaming:

Experience building asynchronous systems using Kafka and/or Apache Pulsar.

Databases & Search:

Proficiency in relational databases: PostgreSQL, SQL Server.

Proficiency in NoSQL, caching, and search engines: MongoDB, Redis, and Elasticsearch.

CI/CD:

Experience configuring and maintaining deployment pipelines using GitLab CI, Jenkins, and Argo CD.

AI & Innovation:

Practical experience using AI-Assisted Development (e.g., GitHub Copilot, Cursor, Tabnine) and implementing LLM-integrated engineering workflows.

Methodology & Certification:

Active SAFe Agile Certification (e.g., SAFe Agilist, SAFe Practitioner) is required.

Roles & Responsibilities

Full-Stack Development: Design, develop, and maintain responsive web applications using modern front-end frameworks and versatile backend languages.

Data Visualization: Create intuitive, interactive data visualizations and dashboards for complex datasets.

Cloud & Infrastructure: Deploy, manage, and scale applications across AWS and GCP using containerization and orchestration tools.

Event-Driven Architecture: Build and optimize high-throughput, real-time messaging and streaming systems.

Database Management: Design data models and manage both relational and NoSQL databases to ensure high availability and performance.

CI/CD & DevOps: Establish and maintain automated deployment pipelines for continuous integration and continuous delivery.

AI-Augmented Engineering: Utilize AI coding assistants and integrate Large Language Models (LLMs) into engineering workflows to improve code quality and team velocity.

Agile Leadership: Actively participate in SAFe Agile ceremonies, collaborating closely with product owners, scrum masters, and cross-functional teams to deliver value iteratively.

Salary Range: $100,000-$120,000 a year