Full Stack Developer (Tech Solutions - BLR)

Burns & McDonnell

India

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

A leading engineering firm in Bengaluru seeks a Full Stack Developer to design and maintain backend services using Python while building responsive UIs with React or Svelte. Candidates should have 4–6 years of experience in full stack development, with strong proficiency in Python and familiarity with cloud platforms such as GCP or Azure. The role includes collaboration on AI-driven features and ensuring application performance and security.

Qualifications

  • 4–6 years of experience in full stack development.
  • Strong proficiency in Python required.
  • Hands-on experience with GCP or Azure services.

Responsibilities

  • Develop and maintain backend services using Python.
  • Build responsive UI using React or Svelte.
  • Design and consume REST/GraphQL APIs.

Skills

Python
React
Svelte
SQL/NoSQL databases
GCP
Azure
Docker
CI/CD
Microservices architecture

Education

B.Tech/B.E. in Any Specialization
BCA in Any Specialization
B.Sc. in Any Specialization

Tools

Terraform

Job description

Description
  • Develop and maintain backend services using Python (Fast API/Django/Flask)
  • Build responsive UI using React or Svelte
  • Design and consume REST/GraphQL APIs
  • Work with cloud platforms like GCP and/or Azure
  • Collaborate on AI-driven features and integrations (LLMs, APIs, automation workflows)
  • Participate in code reviews, testing, and deployment pipelines
  • Ensure performance, scalability, and security of applications
Qualifications
  • B.Tech/B.E. in Any Specialization, BCA in Any Specialization, B.Sc. in Any Specialization
  • 4–6 years of experience in full stack development
  • Strong proficiency in Python
  • Experience with React or Svelte
  • Good understanding of SQL/NoSQL databases
  • Hands-on with GCP or Azure services
  • Familiarity with Docker, CI/CD pipelines
  • AI Awareness: Basic hands-on experience or strong understanding of AI/LLMs, API-based integrations (e.g., OpenAI, embeddings, automation use cases)
  • Knowledge of Microservices architecture
Good to Have
  • Exposure to MCP (Model Context Protocol) or Agentic workflows
  • Experience with Terraform or Infrastructure as Code
  • Understanding of event-driven architecture
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