Senior Full Stack Developer

Fractal Analytics; Bengaluru; On-site; INR 1,000,000 - 1,400,000; Full time

Job summary

Fractal Analytics in Chennai, India is looking for a FullStack Engineer with over 5 years of experience in software development. Key responsibilities include building APIs, developing UI for AI agents, and implementing CI/CD pipelines. The ideal candidate should have strong skills in Python, React, and AWS services.

The role also emphasizes application security, DevOps practices, and familiarity with generative AI tools. Join us to work at the forefront of AI technology integration!

Qualifications

• 5+ years of software development experience in full-stack applications.
• Strong hands-on development experience with modern programming languages.
• Experience with cloud architecture on AWS or similar platforms.

Responsibilities

• 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.

Skills

Fullstack development

Frontend technologies (React, Next.js, Angular, Vue)

Backend development (Python, FastAPI, Node.js)

AWS services

DevOps practices

API design and implementation (REST, GraphQL)

Infrastructure as Code (Terraform)

Unit testing frameworks (pytest, nunit)

Application security frameworks

Generative AI integration

Job description

FullStack Eng

CORE SKILLS

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

+ Database(MSsql,postgres, cloud DB etc)

Some proficiency on Gen AI and AI tools is plus.

• 5+ years of 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)
• 5+ years of hands‑on development with modern programming languages (e.g.,Python preference, FastAPI, TypeScript, JavaScript, Kotlin )
• 5+ years of cloud architecture and solution implementation experience on AWS or comparable cloud platforms
• 3+ Experience with Infrastructure as Code (e.g., Terraform preferred, AWS CDK, CloudFormation), CI/CD pipelines and DevOps practices
• 5+ Background in asynchronous API design and implementation (REST, GraphQL, gRPC) and identity protocols (OpenID Connect, OAuth 2.0)
• 5+ Experience with distributed systems, event-driven architectures, and microservices patterns at scale
• 3+ Familiarity with observability and monitoring practices (e.g., OpenTelemetry, CloudWatch, Datadog, Appinsight, Loganalytics) with a focus on operational excellence
• 3+ Unit testing framework - e pytest,nunit. integration testing end to end. (backend testing)
• 5+ Application security framework (e.g blackbox)
• 3+ Role based authentication and authorization: jwt token,EntraID, Active Directory
• 3+ 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

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