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Added 23 days ago
D
Senior Data Platform Developer
Dialogue
Toronto, ON · Montreal, QC
- $105,000 to $135,000 CAD / year
We are looking for a Senior Data Platform Developer that is excited to design, build, and maintain our modern data platform. In this role, you will define and implement engineering best…
Added 23 days ago
T
Architect
TechDoQuest
Toronto, ON
- Contract
Proficiency in SQL, data modeling, ETL/ELT processes, and scripting languages (Python/Java).
Added 23 days ago
PI
Cloud Platform Engineering Intern
People Inc.
AB · Greater Edmonton Metropolitan Area
- Full-time
Foundational programming or scripting experience in one or more languages such as Python, Go, JavaScript/TypeScript, or Bash.
Added 23 days ago
GX
Senior Analyst, Investment Operations
Global X Canada
Toronto, ON
- $80,000 to $100,000 CAD / year
- Full-time
Familiarity with Bloomberg AIM, AI tools, Python, VBA, Power BI, automation, or data management tools is considered an asset.
Added 23 days ago
Senior Software Engineer in Test
Okta
Toronto, ON
5+ years building test automation in Java; Python or TypeScript is a plus
Added 23 days ago
SI
Director of Analytics Engineering
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
…data modeling, architecture, governance, quality, tooling, and developer…
Added 23 days ago
O
Senior Software Engineer in Test
Okta
Toronto, ON
- $118,000 to $162,000 CAD / year
- Full-time
5+ years building test automation in Java; Python or TypeScript is a plus
Added 23 days ago
H
Principal Azure Databricks Architect
Hays
Toronto, ON
- Contract
Develop scalable data pipelines using Azure Data Factory, Databricks, Python, PySpark, and SQL.
Added 23 days ago
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Product Specialist, evertz.io
Evertz
Burlington, ON
- Full-time
Hands-on experience with scripting and automation (Python, Bash, or JavaScript)
Added 23 days ago
E
AV Service Engineer - Control Systems & Device Integration
Evertz
Burlington, ON
- Full-time
Hands-on programming/scripting ability (e.g., C#, C++, Python, JavaScript, or similar) sufficient to build or modify device drivers from a protocol spec
Added 23 days ago
CS
Software Engineer, AI & Platforms
Cameron Stephens
Toronto, ON
- Full-time
…simultaneously forging long-term relationships with our real estate developer partners. We are committed to excellence in everything we do and building trust with all our…
Added 23 days ago
BO
Financial Sector Specialist Analyst
Bank of Canada
Ottawa, ON
- Full-time
building, maintaining, and running complex financial models using various analytic tools (e.g., Python, Matlab. Data Fabric, Databricks)
Added 23 days ago
R
Technical Support Lead
Rogii
Calgary, AB
- Full-time
Champion the use of AI tools (including Claude), Python scripts, prompt engineering, and operational automation to streamline internal ticketing, speed up resolution times, and automate…
Added 23 days ago
EB
Staff Engineer, AI Security
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
Added 23 days ago
T
SQL Developer / Data Engineer
TD
Toronto, ON
- Full-time
Position Title: Senior SQL Developer / Data Engineer
Added 23 days ago
D
Data Scientist, Validation of Financial and AI Models
Desjardins
Montreal, QC · Complexe Desjardins Montréal
- Full-time
Programming knowledge using Python, SQL, SAS, R, C++, MATLAB or equivalent technologies
Added 23 days ago
BS
Software Engineer
Bartech Staffing
Markham, ON
- $48 to $50 CAD / hour
- Contract
Experience in software development, scripting, test design, and test automation using Python and Pytest.
Added 23 days ago
RB
Principal, Infrastructure Architecture
Royal Bank of Canada
Toronto, ON
- Full-time
Mastery of at least one programming language, such as Python, Golang, Java or JavaScript.
Added 23 days ago
UC
AI Engineer
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
- $70 to $85 CAD / hour
- Contract
…role, you will build production-grade AI services on AWS using Python or Node.js, integrating machine learning models with robust data engineering and analytics pipelines. This is a…
Added 23 days ago
W
Sr Software Development Engineer VNDLY
Workday
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…guide the team in building robust solutions using our stack: Python (backend), React (frontend), and…
Added 23 days ago
QA
Data Scientist II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
Programming experience (focus on machine learning): SQL and Python’s Data Science stack are a must; good knowledge of at least one big data framework (Pyspark, Hive, Hadoop) is a plus; R,…
Added 23 days ago
Senior Infrastructure Engineer
Upstart
Canada
The Data Platform Engineering team (Part of Upstart's Decisioning & Data) provides developer tools, frameworks, and scalable data infrastructure as shared services across Upstart. The…
Added 23 days ago
Actuarial Manager, Large Accounts Pricing
Aviva
Toronto, ON · Markham, ON
Strong technical capabilities; experience with SAS, VBA, Python, R, or other analytical tools.
Added 23 days ago
Senior Actuarial Analyst, Earnix
Aviva
Markham, ON
Proficiency in programming (Python) and data manipulation tools.
Added 23 days ago
FS
Senior DevOps Engineer - Digital Platforms
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
CI/CD, Release Engineering & Developer Experience

People Inc.

Cloud Platform Engineering Intern

AB, Canada
Greater Edmonton Metropolitan Area, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

Original job description

Job Title

Cloud Platform Engineering Intern

Job Description

About People Inc:

People Inc. is America’s largest digital and print publisher. Our 40+ iconic and fast-growing brands harness the best intent-driven content, the fastest sites, and the fewest ads to help nearly 200 million people every month, including 95 percent of US women, make decisions, take action, and find inspiration. People Inc. brands include PEOPLE, Better Homes & Gardens, Verywell, FOOD & WINE, The Spruce, Allrecipes, Byrdie, REAL SIMPLE, Investopedia, Southern Living and more.

About The Role

We are seeking a Cloud Platform Engineering Intern to help build, automate, and validate infrastructure across Amazon Web Services (AWS), Google Cloud Platform (GCP), and Kubernetes environments.

This role is ideal for someone interested in cloud engineering, platform automation, and the emerging use of AI in infrastructure operations. The intern will work alongside Cloud Platform engineers to build tools that interact with infrastructure, collect and analyze operational data, validate configurations, and produce actionable reports.

The position will have a strong focus on Kubernetes, Infrastructure as Code, Configuration as Code, and AI-assisted infrastructure management. The intern will gain practical experience working with production-oriented cloud platforms while learning how to build automation that is secure, observable, repeatable, and safe to operate.

Responsibilities

Develop tools and scripts that query, inspect, and report on AWS, GCP, and Kubernetes resources.
Build infrastructure inventory, configuration validation, compliance reporting, and operational health-check utilities.
Help automate cloud and Kubernetes infrastructure using Infrastructure as Code tools such as Terraform.
Contribute to Configuration as Code using tools such as Helm, Kustomize, Ansible, and declarative YAML.
Develop AI-assisted workflows for infrastructure analysis, troubleshooting, configuration generation, and validation.
Implement safeguards for AI-enabled infrastructure workflows, including schema validation, policy checks, dry-run capabilities, approval gates, and human review.
Integrate infrastructure tools with cloud APIs, Kubernetes APIs, CI/CD pipelines, Git repositories, and observability platforms.
Assist with validating Kubernetes manifests, Terraform plans, deployment configurations, and cloud resource settings.
Build reports and dashboards that identify configuration drift, resource usage, security risks, operational issues, and optimization opportunities.
Write unit and integration tests for infrastructure automation and validation tools.
Document tools, workflows, configuration standards, and operational procedures.
Participate in code reviews, technical design discussions, and platform engineering planning.
Work with engineers to investigate infrastructure issues and identify opportunities for automation.

Required Qualifications

Currently pursuing a degree or equivalent training in Computer Science, Software Engineering, Information Technology, Cybersecurity, or a related field.
Foundational programming or scripting experience in one or more languages such as Python, Go, JavaScript/TypeScript, or Bash.
Basic understanding of Linux, networking, APIs, source control, and software development practices.
Familiarity with containers and an interest in Kubernetes and cloud infrastructure.
Familiarity with Git and collaborative development workflows.
Strong analytical and problem-solving skills.
Ability to learn unfamiliar technologies and ask effective technical questions.
Clear written and verbal communication skills.
Interest in automation, developer platforms, and reliable infrastructure operations.

Preferred Qualifications

Experience with any of the following is helpful but not required:

AWS or Google Cloud Platform.
Kubernetes, Docker, Helm, or Kustomize.
Terraform or another Infrastructure as Code framework.
Ansible or other configuration-management tools.
CI/CD platforms such as GitHub Actions, Jenkins, Argo CD, or Argo Workflows
REST APIs, cloud SDKs, or Kubernetes client libraries.
Data collection, reporting, dashboards, or observability tools.
Large language models, AI agents, tool-calling systems, or Model Context Protocol (MCP).
Automated testing, policy-as-code, or configuration validation.
Cloud security concepts such as IAM, workload identity, secrets management, and least-privilege access.
This People Inc. Canada internship is scheduled to end in May 2027.

It is the policy of People Inc. to provide employment opportunities regardless of age, physical or mental disability, race, gender, sex, sexual orientation, or any other characteristic protected by applicable laws. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing hr@people.inc.

#NMG#

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More about this job

Responsibilities

Build and test automation tools for inspecting, validating, and reporting on AWS, Google Cloud, and Kubernetes infrastructure, including Infrastructure as Code and Configuration as Code workflows. Develop safe AI-assisted infrastructure workflows, integrate tools with APIs and CI/CD systems, create operational reports, and document and support platform engineering practices.

Requirements

Applicants must be pursuing a degree or equivalent training in computer science, software engineering, information technology, cybersecurity, or a related field, and have foundational programming or scripting experience. They should understand Linux, networking, APIs, source control, and software development practices, with familiarity with Git and containers and an interest in cloud infrastructure and Kubernetes.

Skills

Python
Go
JavaScript
TypeScript
Bash
AWS
Google Cloud Platform
Kubernetes
Terraform
Helm
Kustomize
Ansible
Infrastructure as Code
Configuration as Code
CI/CD
Linux

Visa sponsorship

Not detected in the job text

Keywords

Amazon Web Services
Google Cloud Platform
Kubernetes
Infrastructure as Code
Configuration as Code
Terraform
Helm
Kustomize
Ansible
Declarative YAML
Python
Go
JavaScript
TypeScript
Bash
Linux
Networking
REST APIs
Git
CI/CD
Docker
Argo CD
Argo Workflows
Jenkins
Cloud SDKs
Kubernetes APIs
Observability
AI Agents
Model Context Protocol
Policy as Code

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