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Automation Test Engineer with Python / Toronto, ON (Onsite) - FTE

  • Toronto, ON, Canada

Full-time

This opening has closed.

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Job details

Job type
Full-time
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Job Title: Automation Test Engineer with Python

Location: Toronto, ON

Work Model: Onsite

Job Type: Full Time (FTE)

Job Description

We are seeking an experienced Automation Test Engineer with Python to develop automation frameworks, tooling, and integrations for large-scale infrastructure environments. The ideal candidate will have strong Python and API automation skills, hands-on experience with NetBox or equivalent DCIM/IPAM platforms, and practical knowledge of Linux, networking, data center hardware, and CI/CD.

Key Responsibilities

Develop and maintain automation tools and frameworks using Python.

Build integrations with various API endpoints and protocols.

Design and implement reliable automation solutions for large-scale software and hardware environments.

Work with NetBox or equivalent DCIM/IPAM systems, including data modeling and API integration.

Develop and maintain CI/CD pipelines, preferably using Jenkins.

Use Bash and Linux for automation, troubleshooting, and system administration tasks.

Model and manage data center infrastructure, including servers, switches, structured cabling, cross-connects, and power distribution.

Support automation across the complete system lifecycle and take ownership of solutions end to end.

Collaborate with remote execution partners across different time zones.

Research new technologies, investigate issues, and proactively propose effective solutions.

Ensure automation solutions align with infrastructure, operational, and change-management requirements.

Required Skills

Strong hands-on Python development experience for automation and tooling.

Experience working with REST APIs, API endpoints, and integration protocols.

Hands-on experience with NetBox or equivalent DCIM/IPAM platforms.

Knowledge of data modeling and API integration.

Experience with Jenkins and CI/CD pipelines.

Working knowledge of Linux and Bash scripting.

Practical understanding of data center hardware and networking equipment.

Understanding of large-scale software and hardware system design principles.

Strong troubleshooting, analytical, and problem-solving skills.

Ability to work independently and own systems end to end.

Nice to Have

Experience in colocation or multi-site data center environments.

Exposure to latency-sensitive infrastructure.

Experience with Ansible or Terraform and Infrastructure as Code.

Experience with hardware lifecycle, asset management, or procurement workflows.

Experience working in regulated environments with formal change management, audit, and Disaster Recovery requirements.

Strong communication and collaboration skills across geographically distributed teams.

More about this job

Responsibilities

Develop and maintain Python automation frameworks, tools, API integrations, and CI/CD pipelines for large-scale software and hardware environments. Model data center infrastructure, support automation across the system lifecycle, and collaborate with distributed teams to troubleshoot issues and deliver solutions aligned with operational and change-management requirements.

Requirements

Requires strong hands-on Python automation experience, REST API integration skills, and experience with NetBox or an equivalent DCIM/IPAM platform. Candidates should also have working knowledge of Linux, Bash, Jenkins and CI/CD, data center hardware, networking, and large-scale system design, along with strong troubleshooting skills and the ability to own solutions independently.

Skills

  • Python
  • Automation Frameworks
  • REST APIs
  • NetBox
  • DCIM/IPAM
  • Data Modeling
  • Jenkins
  • CI/CD
  • Linux
  • Bash
  • Data Center Hardware
  • Networking
  • Troubleshooting
  • Ansible
  • Terraform
  • Infrastructure as Code

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Engineering

Keywords

  • Python
  • Automation Frameworks
  • Automation Tooling
  • REST APIs
  • API Integration
  • NetBox
  • DCIM
  • IPAM
  • Data Modeling
  • Jenkins
  • CI/CD
  • Linux
  • Bash
  • Data Center Infrastructure
  • Data Center Hardware
  • Networking
  • Servers
  • Switches
  • Structured Cabling
  • Cross-Connects
  • Power Distribution
  • Ansible
  • Terraform
  • Infrastructure as Code
  • Colocation
  • Asset Management
  • Hardware Lifecycle
  • Change Management
  • Disaster Recovery
  • Latency-Sensitive Infrastructure

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