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Python-Full stack Engineer

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Onsite

Python-Full stack Engineer

Incedo

Python-Full stack Engineer

Skills

SQL QueriesNextDockerReactTypescriptPythonAIKubernetesFastAPIPower BIJavascriptAzure

25 days ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

24 September 2026

What they need


  • Build the front end. React with a clear component architecture, state management, responsive layout and accessibility built in from the start.
  • Develop the API layer. FastAPI services with REST contracts, async I/O, streaming where the experience needs it, and sensible error semantics.
  • Model the data. Relational schema design in Azure SQL, migrations, an audit trail where the domain requires it, and a cache layer for hot paths.
  • Wire the integrations. SSO through Entra ID or OAuth, enterprise and third-party APIs, webhooks, and media delivery through storage and CDN.
  • Build the admin surfaces. Configuration, content and user management screens, exception handling and reporting views for the operating team.
  • Deploy and keep quality high. Containerised services in the CI/CD pipeline, unit and component tests, code review, and performance budgets.

MUST-HAVE SKILLS

  • Strong Python for backend services FastAPI or equivalent, REST design, async I/O, SQL
  • Strong React with modern JavaScript or TypeScript — hooks, state management, component architecture
  • Solid HTML and CSS, responsive layout and accessible, cross-browser UI
  • Azure application development — App Service or AKS, Azure SQL, Blob Storage, Key Vault, Entra ID
  • Building and consuming enterprise APIs, including streaming and token-based auth
  • Proficient with an agentic coding tool — Claude Code or OpenAI Codex — as a daily driver
  • Git-based workflow with code review, automated tests, Docker and CI-driven builds

GOOD-TO-HAVE SKILLS

  • Kubernetes — containerising a service and running it on AKS
  • Integrating a Gen AI backend into a product UI — streaming, citations, feedback capture
  • Next.js or a design-system component library at scale
  • BI embedding (Power BI or similar) for in-product dashboards

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