Full Stack Developer

Full Stack Developer Company: KR3 Information Systems Pvt Ltd. Location: Jaipur Employment Type: Full-Time Experience: 3–6 years About the Role We are seeking a versatile Full Stack Developer to build modern, cloud-native applications end to end — from responsive front-end experiences to high-performance backend services and well-designed data layers. You will work across AWS and Google Cloud (GCP), ship features through automated CI/CD pipelines, and operate in an Agile team that is embracing agentic, AI-assisted software development practices. This role is ideal for a developer who is equally comfortable in the browser, on the server, and in the cloud console.

Must Have 1.    Front-End Development — Strong hands-on experience building responsive, accessible web UIs with Angular and/or React, plus solid fundamentals in HTML, CSS, JavaScript/TypeScript; familiarity with HTMX for hypermedia-driven interfaces. 2.    Backend Development — Proficiency building RESTful and/or gRPC services, APIs, and microservices in one or more of: Python (FastAPI), TypeScript (Node.js/NestJS), Java (Spring Boot), or Go — including testing, performance, and API security (OAuth2/OIDC, JWT). 3.    Databases — Relational & NoSQL — Experience designing schemas, writing performant queries, and operating both relational databases (PostgreSQL, MySQL, or SQL Server) and NoSQL databases (MongoDB, Cosmos DB, or DynamoDB), including indexing, partitioning, and data-modeling trade-offs. 4.    Cloud (AWS & GCP) — Working experience deploying and running applications on AWS and Google Cloud — e.g., EC2/ECS/EKS, Lambda, S3, API Gateway on AWS; Cloud Run, GKE, Cloud Functions, Cloud Storage on GCP. 5.    DevOps & Agile Delivery — Practical experience with CI/CD pipelines, Git-based workflows, containerization (Docker), automated testing, and delivering software in Agile/Scrum teams — including AI-assisted, agentic development workflows.

Nice to Have 1.    LLM Inference APIs — Exposure to integrating LLM inference APIs (OpenAI, Anthropic Claude, AWS Bedrock, Google Vertex AI/Gemini) into applications — chat features, RAG, summarization, or tool/function calling. 2.    Cloud Infrastructure & IaC — Deeper cloud infrastructure skills: Infrastructure as Code (Terraform, CloudFormation), Kubernetes administration, networking/VPC design, cost optimization, and observability (CloudWatch, Cloud Monitoring, Grafana). 3.    Breadth Across the Stack — Additional backend depth (e.g., Go concurrency, gRPC at scale), event-driven architectures (Kafka, SQS, Pub/Sub), caching (Redis), or experience with security/compliance frameworks in enterprise or public-sector environments. Education •     Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Key Responsibilities •     Design, develop, and maintain full stack web applications: front-end UIs in Angular or React (with HTML/CSS and HTMX where appropriate) and backend services and APIs in Python (FastAPI), TypeScript (Node.js), Java (Spring Boot), or Go. •     Model, implement, and optimize data layers across relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL stores (MongoDB, Azure Cosmos DB, AWS DynamoDB). •     Build, deploy, and operate services on AWS and GCP, using managed compute, storage, networking, and serverless offerings. •     Implement and maintain CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline, Google Cloud Build) with automated testing, security scanning, and progressive deployment. •     Participate fully in Agile ceremonies — sprint planning, backlog refinement, demos, and retrospectives — and deliver in iterative increments. •     Practice agentic software development: use AI coding assistants and agentic workflows (e.g., Claude Code, GitHub Copilot) responsibly to accelerate development, testing, and documentation, with human review of all generated code. •     Write clean, testable, well-documented code; participate in code reviews; and uphold security and performance best practices.

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