Senior Python Architect & Dependency Lead

HCL Technologies Limited; Airdrie; On-site; CAD 90,000 - 120,000; Full time

Job summary

HCLTech in Canada seeks a Python-focused engineer to leverage deep Python knowledge, packaging expertise, and dependency management to build robust software. You will collaborate with cross-functional teams across digital, engineering, cloud and AI services, delivering scalable solutions for clients.

This role offers growth through exposure to cutting-edge tooling and a collaborative, people-centric culture and you'll contribute to code quality, performance, and reliability across multiple

Qualifications

• Deep Python proficiency with understanding of Python internals and standard library across versions.
• Experience with Python packaging (init.py, namespace packages) and module resolution.
• Familiarity with PyPI, setuptools, pip, pyproject.toml and analyzing changelogs for breaking changes.
• Knowledge of Google3 Python dependency policies (nice to have).
• Knowledge of Google-internal tooling and automation (nice to have).

Responsibilities

• Deep Python proficiency: understanding of Python internals and stdlib across versions.
• Python packaging & imports: structuring packages, __init__.py, imports, and resolution.
• External dependency management: PyPI, setuptools, pip, pyproject.toml, change analyses.
• Google3 Python dependency policies (nice to have).
• Google-internal tooling & automation (nice to have).

Skills

Python proficiency

Python packaging

Dependency management

Google3 policies

Tooling & automation

Job description

HCLTech in Canada seeks a Python-focused engineer to leverage deep Python knowledge, packaging expertise, and dependency management to build robust software. You will collaborate with cross-functional teams across digital, engineering, cloud and AI services, delivering scalable solutions for clients.

This role offers growth through exposure to cutting-edge tooling and a collaborative, people-centric culture and you'll contribute to code quality, performance, and reliability across multiple