8 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

#LeadFullStackEngineer #PythonDeveloper #ReactDeveloper #FlutterDeveloper #AIEngineering #AWS #Microservices #CloudArchitecture #DevOps #NowHiring #TechJobs #ImmediateHiring


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Job Summary

Lead Full Stack Engineer

Key Skills (Mandatory):

  • 8+ years of total experience in Full Stack Development
  • 4+ years of strong hands-on experience in

    Python development

  • Expertise in Python frameworks:

    Django, Flask, FastAPI

  • Strong front-end development experience using

    React or Flutter

  • Proven experience designing and building

    scalable microservices & REST APIs

  • In-depth working knowledge of

    AWS services and cloud architecture

  • Strong experience with

    SQL & NoSQL databases

    , data modeling, and database programming
  • Deep understanding of

    application security

    , vulnerability management, and secure coding practices
  • Hands-on experience managing

    CI/CD pipelines

    and release processes
  • Practical experience implementing

    AWS Well-Architected Framework

    principles
  • Excellent communication, leadership, and stakeholder management skills

Responsibilities:

  • Lead end-to-end delivery of full-stack applications from design to production
  • Design scalable, secure, and high-performance system architectures on AWS
  • Translate product requirements into technical specifications and actionable tasks
  • Contribute hands-on to development using

    React/Flutter (Frontend)

    and

    Python (Backend)

  • Guide integration of

    AI/ML models or APIs

    to enhance application functionality
  • Enforce secure coding standards and proactively manage vulnerabilities
  • Conduct detailed code reviews to maintain quality and best practices
  • Architect and manage databases ensuring integrity, security, and performance
  • Oversee CI/CD pipelines and manage release lifecycles in AWS environments
  • Collaborate closely with Product, UX/UI, and Data teams
  • Mentor junior engineers, delegate tasks effectively, and foster technical excellence

Preferred Qualifications:

  • Experience integrating

    AI/ML models

    in production environments
  • Knowledge of

    API Gateway solutions

    (Amazon API Gateway, Apigee, Azure APIM)
  • Hands-on experience with

    Docker and Kubernetes

  • AWS Certifications (e.g.,

    AWS Solutions Architect – Professional

    )
  • Exposure to modern DevOps and cloud-native architectures

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