FSD

Pylon Management Consulting Pvt. Ltd.; Dadri, Pune District, Bengaluru; Hybrid; INR 900.000 - 1.300.000; Vollzeit

Zusammenfassung

Pylon Management Consulting Pvt. Ltd. is seeking a skilled Full Stack Engineer to design and build end-to-end applications with strong frontend and backend expertise.

You will work across React-based UIs and Python/Node.js backends, integrating AI capabilities, serverless components, and robust CI/CD pipelines. The role emphasizes API design (REST/GraphQL), microservices, cloud architecture on AWS, and DevOps practices to ensure scalable, observable systems with quality testing and secure

Qualifikationen

• Strong experience with modern web frameworks (React) and backend development (Python, Node.js). Proficiency in API development (REST, GraphQL) and microservices architectures.
• Knowledge of AWS services (Lambda, ECS, API Gateway, CloudFormation, CDK).
• Experience with DevOps tools and CI/CD pipelines. Familiarity with AI/ML application integration patterns.

Aufgaben

• Build and develop technical work outputs for each work package.
• Implement user interfaces and integration layers for AI agents.
• Develop APIs and data pipelines connecting AI systems to operational platforms.
• Build monitoring and observability solutions for AI applications.
• Implement DevOps automation and CI/CD pipelines.
• Support SDLC automation initiatives and tooling integration.

Kenntnisse

Full stack

Frontend

Backend

AWS serverless

CI/CD

DevOps

Python

Unit testing

API development

Microservices

Tools

React

Next.js

Angular

Vue

TypeScript

JavaScript

Kotlin

Terraform

AWS CDK

CloudFormation

GitHub Copilot

OpenTelemetry

Jobbeschreibung

FullStack Eng :

Skills Primary : Full stack + Frontend + Backend+ End to end App Dev + AWS serverless + CICD Infra as a code + Devops + App unit testing + Python

Technical Skills:

Strong experience with modern web frameworks (React) and backend development (Python, Node.js) Proficiency in API development (REST, GraphQL) and microservices architectures Knowledge of AWS services (Lambda, ECS, API Gateway, CloudFormation, CDK) Experience with DevOps tools and CI/CD pipelines (Bonus) Familiarity with AI/ML application integration patterns

• Database(MSsql,postgres, cloud DB etc)
• Some proficiency on Gen AI and AI tools is plus.
• Software development experience designing and building full-stack applications, with hands-on work across frontend (e.g., React, Next.js, Angular, Vue) and backend (e.g., APIs, microservices, data layers)
• Hands-on development with modern programming languages (e.g.,Python preference, FastAPI, TypeScript, JavaScript, Kotlin )
• Cloud architecture and solution implementation experience on AWS or comparable cloud platforms
• Experience with Infrastructure as Code (e.g., Terraform preferred, AWS CDK, CloudFormation), CI/CD pipelines and DevOps practices
• Background in asynchronous API design and implementation (REST, GraphQL, gRPC) and identity protocols (OpenID Connect, OAuth 2.0)
• Experience with distributed systems, event-driven architectures, and microservices patterns at scale
• Familiarity with observability and monitoring practices (e.g., OpenTelemetry, CloudWatch, Datadog, Appinsight, Loganalytics) with a focus on operational excellence
• Unit testing framework - e.g pytest,nunit. integration testing end to end. (backend testing)
• Application security framework (e.g blackbox)
• Role based authentication and authorization: jwt token,EntraID, Active Directory
• DB optimization, session management.
• Experience building applications that integrate generative AI or large language model capabilities (e.g., RAG, chat interfaces, agent workflows, LLM-powered features)
• Experience using AI-assisted development tools as part of the software development workflow (e.g. github-copilot)
• Experience of AI agent architectures, orchestration patterns, and emerging protocols (e.g., MCP, A2A) with hands-on experience building multi-agent systems
• Experience with agentic software development methodologies using AI agents to accelerate development workflows including coding, testing, debugging, and code review

Responsibilities:

1 Build and develop technical work outputs for each work package

2 Implement user interfaces and integration layers for AI agents

3 Develop APIs and data pipelines connecting AI systems to operational platforms

4 Build monitoring and observability solutions for AI applications

5 Implement DevOps automation and CI/CD pipelines

6 Support SDLC automation initiatives and tooling integration