Python Fullstack

Key Responsibilities

Engineering Leadership

• Lead and mentor a team of

  full-stack developers

  (Python, React.js, Node.js, etc.).
• Drive

  technical excellence

  , code quality, and best engineering practices.
• Define and implement

  scalable system architectures

  for high-performance applications.

Technical Strategy & Architecture

• Own the

  end-to-end technical design

  for Python Fullstack applications.
• Optimize

  database structures, backend APIs, and frontend performance

  .
• Ensure

  microservices-based architecture, CI/CD automation, and cloud scalability

  .

Team & Project Management

• Hire, mentor, and develop

  top engineering talent.
• Manage

  agile development processes

  , ensuring timely delivery and high quality.
• Collaborate with

  Product Managers, Designers, and other stakeholders

  to align technical solutions with business needs.

Technical Stack & Development

• Backend:

  Python, Django/FastAPI, Node.js

• Frontend:

  React.js, Next.js

• Databases:

  PostgreSQL, MongoDB, Redis

• DevOps & Cloud:

  AWS, Docker, Kubernetes, CI/CD pipelines

• Tools:

  Git, Jira, Elasticsearch, Kafka

Performance & Security

• Optimize system

  performance, scalability, and reliability

  .
• Implement

  security best practices, authentication, and authorization

  (OAuth, JWT).
• Monitor and improve system

  observability using logging, monitoring, and alerting tools

  .

Required Skills & Qualifications

Must-Have

• 8+ years of experience

  in software development, with at least

  2-3 years in a managerial role

  .
• Expertise in

  Python full-stack development

  (Django/FastAPI for backend, React.js for frontend).
• Strong knowledge of

  microservices architecture, RESTful APIs, and event-driven systems

  .
• Experience in

  cloud platforms (AWS, GCP, or Azure)

  and DevOps automation.
• Hands-on experience with

  SQL & NoSQL databases

  (PostgreSQL, MongoDB, Redis).
• Excellent

  problem-solving skills

  and

  system design expertise

  .

Good-to-Have

• Experience with

  AI/ML, big data, or analytics-driven applications

  .
• Knowledge of

  serverless architectures and edge computing

  .
• Familiarity with

  GraphQL, WebSockets, and real-time data processing

  .
• Experience with

  e-commerce, SaaS, or fintech

  platforms.