Urgent Hiring || Python Lead

10 - 20 years

15 - 30 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Python Full Stack Technical Lead

Core Responsibilities

  • Lead the design, development, and deployment of scalable, secure, and high-performing web applications using 

    Python (Django/Flask/FastAPI)

     and modern front-end frameworks.
  • Provide 

    technical leadership

     and mentoring to a team of developers, conducting code reviews and guiding on best practices.
  • Collaborate with product managers, architects, and stakeholders to define technical roadmaps and ensure alignment with business goals.
  • Optimize application performance, scalability, and maintainability through robust architecture and coding practices.
  • Drive adoption of 

    CI/CD pipelines, DevOps practices, and cloud-native solutions

     (AWS/Azure/GCP).
  • Ensure adherence to 

    security standards, compliance, and data privacy policies

    .
  • Actively research and recommend new technologies, tools, and approaches to improve productivity and product quality.

Must-Have Skills

Technical:

  • Strong expertise in 

    Python (Django, Flask, or FastAPI)

    .
  • Hands-on experience with 

    JavaScript/TypeScript

     and modern frameworks (

    React.js/Angular/Vue.js

    ).
  • Proven ability in 

    RESTful APIs, Microservices architecture, and WebSockets

    .
  • Database expertise: 

    PostgreSQL, MySQL, MongoDB, Redis

    .
  • Cloud & DevOps: 

    AWS/Azure/GCP

    , Docker, Kubernetes, CI/CD pipelines.
  • Strong understanding of 

    system architecture, scalability, and distributed systems

    .

Soft Skills:

  • Strong 

    leadership and mentoring

     ability.
  • Excellent 

    problem-solving & decision-making

     skills.
  • Strong 

    communication & stakeholder management

    .
  • Ability to work in 

    agile and fast-paced environments

    .

Good-to-Have Skills

  • Experience with 

    GraphQL, WebAssembly, or Serverless architectures

    .
  • Exposure to 

    AI/ML model integration

     within applications.
  • Familiarity with 

    observability tools

     (ELK, Prometheus, Grafana).
  • Contributions to 

    open-source projects

     or active tech community involvement.

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