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Python - Lead

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Onsite

Python - Lead

Iris Software

Python - Lead

Skills

SQL QueriesBig DataDjangoFlaskPythonNumPypandasPostgreSQLOracleFastAPIJavascript

il y a 1 mois

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

21 septembre 2026

What they need


Job Title

Python - Lead

Location

Noida

Company

Iris Software

Job Description Mandatory Skills

  • FastAPI Framework,Python Programming (Core),Python Shell,Flask,Pandas

Key Responsibilities

  • Define and drive enterprise application architecture strategy using Python and Django or Flask frameworks.
  • Establish engineering standards, governance models, and development best practices across teams.
  • Define application architecture standards and reusable framework patterns for scalable solution delivery.
  • Drive enterprise adoption of Python development standards and framework best practices.
  • Establish standards for data processing, transformation, and analytical solution development using NumPy and Pandas.
  • Define enterprise standards for relational database integration, data access strategies, and database performance optimization across Python applications.
  • Define coding standards, quality frameworks, and application development governance practices.
  • Define enterprise data access architecture and ORM standards using Django ORM, SQLAlchemy, or SQLModel aligned with engineering best practices.
  • Lead architecture reviews and ensure applications meet scalability, reliability, maintainability, and performance objectives.
  • Define enterprise testing standards and quality engineering practices promoting automated unit testing, code coverage, and continuous quality improvement.
  • Establish enterprise API quality standards including API testing, documentation, versioning, and governance practices.
  • Guide teams on Python architecture, framework selection, application design, and engineering best practices.
  • Identify technical risks, architectural gaps, and performance bottlenecks while defining mitigation strategies.
  • Drive modernization and continuous improvement initiatives focused on application quality and engineering maturity.
  • Establish development quality standards and engineering excellence practices across projects and programs.
  • Collaborate with various teams and leadership stakeholders to align technology initiatives with organizational objectives.
  • Drive continuous improvement initiatives focused on engineering maturity, platform reliability, maintainability, and delivery excellence.

Behavioral Competencies

  • Demonstrates leadership and accountability in driving engineering excellence across programs and initiatives.
  • Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
  • Promotes a culture of innovation, quality, continuous improvement, and technical excellence.
  • Applies strategic thinking to address technical risks, architectural challenges, and business priorities.
  • Demonstrates strong decision-making while balancing scalability, reliability, maintainability, and delivery objectives.
  • Communicates effectively regarding architecture strategy, risks, dependencies, and outcomes.
  • Maintains a proactive approach toward engineering governance, quality standards, and solution excellence.
  • Encourages innovation and continuous learning within software engineering and application development practices.
  • Drives collaboration and alignment across teams to achieve organizational objectives.
  • Demonstrates a customer-centric mindset by delivering reliable, scalable, and high-quality solutions.

Mandatory Competencies

  • Programming Language - Python - Flask
  • Database - PostgreSQL - PostgreSQL
  • Big Data - Big Data - Mongo DB
  • Database - Oracle - PL/SQL Packages
  • Programming Language - Python - Python Shell
  • Programming Language - Python - OOPS Concepts
  • User Interface - JavaScript - JavaScript
  • User Interface - HTML - HTML/CSS
  • Beh - Communication and collaboration

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