Burns & McDonnell India is looking for a Full Stack Developer to create backend services with Python, develop user interfaces in React or Svelte, and work with cloud platforms like GCP/Azure. The role requires 4–6 years of experience in full stack development, a strong understanding of SQL/NoSQL databases, and hands-on experience with CI/CD pipelines. Candidates should have familiarity with microservices architecture and a basic understanding of AI-driven features. This opportunity is based in Bengaluru, Karnataka.
Qualifications
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.
Responsibilities
Develop and maintain backend services using Python.
Build responsive UI using React or Svelte.
Collaborate on AI-driven features and integrations.
Participate in code reviews, testing, and deployment pipelines.
Skills
Backend services development using Python
Frontend development using React or Svelte
REST/GraphQL APIs design and consumption
Cloud platforms (GCP or Azure)
CI/CD pipelines
Microservices architecture
Basic understanding of AI/LLMs
Education
B.Tech/B.E. in Any Specialization
BCA in Any Specialization
B.Sc. in Any Specialization
Tools
Docker
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