Full Stack Developer

About Saarthee: Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with one objective in mind: OurCustomers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with offices in UK and India. Position: Full Stack Developer Location: Gurugram Work Mode: Hybrid Min-Max Experience: 4-9 years Position Summary: Full Stack Developer with experience designing, developing, testing, and deploying scalable applications on AWS Cloud. Proficient across front-end and back-end development, building secure, high-performance, cloud-native solutions using multi-tier architecture, RESTful microservices, and modern CI/CD practices. Comfortable working with emerging GenAI and agentic AI patterns alongside core full stack engineering. Your Role Responsibilities and Duties: Build robust, secure, and high-performance cloud-native solutions on AWS, spanning front-end (Angular/React, TypeScript) and back-end (Node.js, RESTful APIs). Implement multi-tier architectures and RESTful microservices, integrating with upstream and downstream systems. Design and deploy serverless and containerized applications using AWS Lambda, ECS/Fargate, and Docker. Manage databases across Amazon RDS (MySQL/PostgreSQL), DynamoDB, and Aurora, covering both SQL and NoSQL data modeling. Implement secure authentication and authorization using AWS Cognito, OAuth2.0, and JWT. Build and maintain CI/CD pipelines using AWS Code Pipeline, Code Build, Jenkins, and GitHub Actions. Apply testing frameworks and backend testing tools to ensure code quality and reliability. Explore and apply GenAI capabilities — LLM APIs, retrieval-augmented generation (RAG), and agentic workflows — where they add value to product features. Required Skills and Qualifications: Strong experience in full stack development using Angular or React, TypeScript, Node.js, and RESTful APIs. Proficiency with core AWS services: Lambda, API Gateway, S3, DynamoDB, RDS, CloudFormation, EC2, ECS/Fargate, CloudWatch, and IAM. Skilled in serverless and containerized application design using AWS, Docker, and ECS. Experience building and consuming RESTful APIs, integrating with upstream/downstream systems using Node.js or Spring Boot. Strong database experience across Amazon RDS (MySQL/PostgreSQL), DynamoDB, solid SQL and NoSQL modeling skills. Experience implementing secure authentication/authorization using AWS Cognito and JWT. Hands-on experience with CI/CD automation using AWS CodePipeline, CodeBuild, Jenkins, or GitHub Actions. Exposure to GenAI/agentic AI concepts (LLM APIs, RAG, LangChain/LangGraph, MCP) is a strong plus. Technical Skills GenAI: LLM APIs (OpenAI, Anthropic, Gemini, open-source), RAG flows (embeddings, vector databases, retrieval systems), agentic AI / multi-agent systems, LangChain, LangGraph, MCP servers & tools, prompt engineering / versioning / evaluation, AI-aware APIs (streaming, fallbacks, cost control) Languages: TypeScript, Node.js, Python, SQL Frontend: React.js / Angular, Redux, TypeScript, responsive UI development Backend & Architecture: Python , Microservices, distributed systems, REST & GraphQL API design, gRPC, event-driven architecture (Kafka) Databases: PostgreSQL, MongoDB / DynamoDB, Redis, Elasticsearch (OpenSearch), vector databases Cloud & Infrastructure: AWS (Lambda, S3, EC2, API Gateway, DynamoDB, CloudFormation, ECS/Fargate, CloudWatch, IAM), Docker, Kubernetes, Terraform, CI/CD (GitHub Actions)