Full Stack Architect

6 years

0 Lacs

Posted:22 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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About the Role


Tech Lead / Full Stack Architect

This is a key role for someone who can lead technical decisions, guide developers, interact with clients, and ensure delivery excellence — all while staying deeply hands-on in both frontend and backend development.

Key Responsibilities

  • Architect and develop

    Angular 20

    -based front-end components using

    Web Components architecture

    .
  • Build

    interactive dashboards

    and

    real-time data visualizations

    using

    Infragistics

    ,

    Highcharts

    , or

    D3.js

    .
  • Design and implement

    RESTful APIs

    and backend logic using

    .NET 9 / .NET Core

    .
  • Integrate

    OIDC / OAuth

    authentication and manage session lifecycles.
  • Work with

    Azure Cosmos DB (Mongo API)

    or other NoSQL databases for scalable storage.
  • Collaborate with DevOps teams using

    Azure DevOps

    and

    Docker

    for CI/CD.
  • Optimize performance, scalability, and responsiveness across applications.
  • Provide

    technical leadership

    — reviewing code, mentoring team members, and enforcing coding best practices.
  • Engage directly with customers to clarify requirements, share progress updates, and deliver solutions.

Required Skills

  • Strong hands-on expertise in

    Angular 20+

    (Angular 16+ acceptable if open to upgrade).
  • Proficiency in

    Web Components

    and

    modular UI architecture

    .
  • Experience with

    advanced charting/visualization libraries

    (Infragistics, Highcharts, D3, etc.).
  • Deep backend expertise with

    .NET 7–9

    and

    REST API development

    .
  • Strong understanding of

    OIDC / OAuth

    authentication.
  • Experience with

    Azure Cosmos DB / MongoDB (NoSQL)

    .
  • Hands-on knowledge of

    Git

    ,

    Azure DevOps

    , and

    Docker

    .

Good to Have

  • Experience with

    real-time dashboards

    , monitoring, or analytics platforms.
  • Knowledge of

    caching

    ,

    web workers

    ,

    data virtualization

    , and

    performance optimization

    .
  • Familiarity with

    scalability design patterns

    and

    asynchronous architectures

    .

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