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Systems Administrator III
BonLook
New Westminster, BC · Delta, BC
- Full-time
Advanced certifications such as Certified Information Systems Security Professional (CISSP), cloud-specific certifications (e.g., AWS Certified Solutions Architect) are considered an asset
Added 13 mins ago
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Solution Designer Generative AI Applications
CIBC
Toronto, ON
- Full-time
…the following: Databases (Oracle, SQL Server), Cloud (Azure, AWS), ETL (Informatica, SSIS), and Tools (Tools: source control/issue management: Git, TFS, JIRA, Azure…
Added 13 mins ago
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Senior Data Scientist – Generative AI & Machine Learning
Bevertec
Toronto, ON
- Contract
Experience with AWS AI/ML services, including SageMaker, Lambda, and Bedrock.
Added 13 mins ago
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Junior Data Scientist
Bevertec
Toronto, ON
- Contract
Familiarity with AWS AI/ML services such as SageMaker or Bedrock.
Added 13 mins ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
Experience with distributed systems and cloud‑based data platforms (AWS, Azure, or GCP).
Added 13 mins ago
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Engineering Manager - Infrastructure
BitGo
Toronto, ON
- Full-time
Hands-on experience with a major public cloud provider. We operate primarily on AWS but believe skills in one cloud provider translate to others
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CG
Senior Manager, Cybersecurity Technology Transformation Services
Cyberium Group
Richmond, BC
- Part-time
Understanding of cloud technology, including Azure and/or AWS
Added 13 mins ago
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Technical Lead - Infrastructure
BitGo
Toronto, ON
- Full-time
Hands-on experience with a major public cloud provider. We operate primarily on AWS but believe skills in one cloud provider translate to others
Added 13 mins ago
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Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
Deep, practical experience building and deploying SaaS platforms on AWS.
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QA Engineer
Luxoft
Toronto, ON
- Contract
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Principal Cybersecurity Specialist, Incident Response
Questrade Financial Group
Toronto, ON
Added 42 mins ago
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Data Scientist
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Contract
· Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
Added 45 mins ago
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RQ11718 - Software Developer - Intermediate
Maarut
Toronto, ON
- Contract
The Developer will be responsible for translating business requirements and technical system specifications into working, tested applications. This would involve doing analysis & design…
Added 45 mins ago
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RQ11713 - Software Developer - ETL - Senior
Maarut
Toronto, ON
- Contract
Experience with the Amazon Web Services (AWS) suite of technology including: Amazon Aurora, Amazon Relational Database Search, Glue, OpenSearch, etc.
Added 57 mins ago
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Developer Advocate
Dynatrace
Toronto, ON
- Full-time
As our Developer Advocate, you are the face and voice of Bluebox in the developer community. You will earn credibility the only way it gets earned with developers: by building real things,…
Added 57 mins ago
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Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
Multi-Cloud & Hybrid Expertise: Hands-on experience with Azure (Azure OpenAI Service, AI Search) or AWS (Bedrock, Sagemaker) to support clients in multi-cloud environments.
Added 58 mins ago
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GEN AI Specialist
Cynet Systems
Montreal, QC
- $50 to $55 CAD / hour
- Contract
Proficiency with AWS (SageMaker), Azure (Azure AI), or GCP (Vertex AI).
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Senior Informatica Cloud Developer – CDI & CAI – CONTRACT
Toronto Test Consultants
Canada
- Contract
Title: Senior Informatica Cloud Developer – CDI & CAI
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Software Developer
Teckhorizon Inc
Toronto, ON
- $80 CAD / hour
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The Intermediate Software Developer will translate business requirements and technical system specifications into working, tested applications. Responsibilities include requirements…
Added 1 hour ago
Staff Software Engineer
Lantern
Vancouver, BC
…tools such as Apache Kafka (or similar platforms like RabbitMQ, AWS SNS/SQS), including familiarity with saga…
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Technical Lead - Infrastructure
BitGo
Toronto, ON
Hands-on experience with a major public cloud provider. We operate primarily on AWS but believe skills in one cloud provider translate to others
Added 1 hour ago
E
Strategy Execution & Delivery Effectiveness Senior Director
Experian
Canada
- Full-time
Experience with back‑end systems and infrastructure platforms, including: Cloud platforms (AWS, Azure, GCP)
Added 1 hour ago
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Technical Analyst (Quicksight, SQL and Redshift)
FCC / FAC
Regina, SK · FCC Tower
- Full-time
In this role, you’ll manage, support and optimize our data environments built using native AWS technologies. You’ll make a tangible impact by developing new tools, implementing and…
Added 1 hour ago
Engineering Manager - Infrastructure
BitGo
Toronto, ON
Hands-on experience with a major public cloud provider. We operate primarily on AWS but believe skills in one cloud provider translate to others
Added 1 hour ago
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Senior Staff Developer, User Identity & Access Management (UIAM)
Benevity
Remote, Canada
- Full-time
- Remote
As a Senior Staff Developer for User Identity & Access Management (UIAM), you will play a pivotal role in shaping the technical direction of our identity platform, which serves as the…

ProCogia

DevOps & Cloud Platform Intern (December 2026 to April 2027)

Vancouver, BC, Canada

Compensation - $23/hour

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Job details

Pay: Compensation - $23/hour
Working hours: 40 hours/week
Posting language: English
Posted: Oct 9, 2026

Original job description

About ProCogia:

ProCogia is a data and AI consulting firm helping organizations turn complex technology challenges into measurable business outcomes. We work across highly regulated and high-stakes industries, including telecommunications, financial services, life sciences, healthcare, and the public sector, where security, governance, reliability, and performance are critical. Our teams bring together expertise across data science, engineering, AI, analytics, and consulting to design and deliver practical, production-ready solutions. We are actively advancing capabilities across generative AI, agentic systems, workflow automation, AI governance, and enterprise AI applications. At ProCogia, you will work alongside experienced practitioners on meaningful technical challenges and contribute directly to both client solutions and the platforms and products we are building internally.

Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership

DevOps & Cloud Platform Intern

Co-op Term: December 2026–April 2027

About ProCogia

ProCogia is a data and AI consulting firm helping organizations turn complex technology challenges into measurable business outcomes. We work with clients across highly regulated and high-stakes industries, including telecommunications, financial services, life sciences, healthcare, and the public sector, where security, governance, reliability, and performance matter. Our teams combine data science, engineering, AI, analytics, and consulting expertise to build practical, production-ready solutions. We are actively advancing capabilities across generative AI, agentic systems, workflow automation, AI governance, and enterprise AI applications.

At ProCogia, interns work alongside experienced practitioners on meaningful technical problems. You will have the opportunity to experiment, build, challenge assumptions, and contribute directly to internal products and client solutions.

Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership.

Location: Vancouver (On-site – Full-Time Work from office in Vancouver, five days a week Mon-Fri)

Job Summary

ProCogia is looking for a DevOps & Cloud Platform Intern to join our Winter 2027 internship cohort. This role is designed primarily for final-year Bachelor’s and Master’s students who want hands-on experience across cloud infrastructure, DevOps, platform engineering, automation, containers, and AI infrastructure. You will work alongside our Cloud Platform Engineer on real engineering initiatives and learn how modern environments are designed, deployed, operated, and improved. You will also work closely with our AI Applied and LLM Research interns, building the infrastructure that helps them develop, test, and deploy AI solutions. We do not expect prior production experience or knowledge of every technology in our stack. We value strong fundamentals, curiosity, problem-solving, ownership, and the ability to learn quickly through documentation, experimentation, and mentorship.

Key Responsibilities:

Support cloud environments primarily on AWS, with exposure to other platforms.
Assist with Infrastructure as Code, environment provisioning, and automation.
Build and improve CI/CD pipelines and deployment workflows.
Build, deploy, and troubleshoot applications using Docker, with exposure to Kubernetes.
Work with Linux environments and strengthen command-line troubleshooting skills.
Support networking, IAM, permissions, secrets, authentication, and cloud security fundamentals.
Assist with monitoring, logging, alerts, incident investigation, and reliability improvements.
Build reusable scripts, templates, automation, and technical documentation.
Participate in technical discussions, demos, architecture reviews, and knowledge sharing.

AI & LLM Infrastructure

You will help create the platform foundation for our AI and LLM teams by:

Setting up AI and LLM development environments.
Containerizing and deploying models, APIs, prototypes, and services.
Supporting cloud compute and GPU environments where applicable.
Automating application and model deployment workflows.
Troubleshooting infrastructure, containers, dependencies, and environments.
Supporting experimentation with LLMs, RAG, agents, and generative AI.

The objective is to learn platform engineering by making AI development faster, repeatable, and reliable.

What You Bring

Final-year Bachelor’s or current Master’s student in Computer Science, Software Engineering, Computer Engineering, IT, Data Science, or a related field.
Interest in DevOps, Cloud, Platform Engineering, Infrastructure, or SRE.
Familiarity with Linux, Git, cloud concepts, and Docker.
Experience with Python, Bash, PowerShell, Go, JavaScript, or another scripting/programming language.
Strong troubleshooting, problem-solving, communication, and learning skills.

Nice to Have: Exposure to one or more of:

Cloud & DevOps: AWS/Azure, Kubernetes, Terraform, CI/CD, networking, IAM, observability.
Enterprise platforms: Posit, AWS GovCloud, Xacta/GRC, Ansible/Puppet.
AI infrastructure: MLOps, generative AI, GPUs, APIs, databases, or cloud data platforms.

Coursework, projects, research, hackathons, open-source contributions, internships, and co-op experience all count.

Compensation - $23/hour

Who can apply?

"This internship is supported by the Government of Canada's Student Work Placement Program (SWPP)”. To be eligible for SWPP funding, applicants must meet all three conditions given below:

be a Canadian citizen, permanent resident, or person granted refugee protection in Canada;
be enrolled as a full-time student at a recognized Canadian post-secondary institution for the duration of the placement [Dec 2026 to Apr 2027]; and
be legally entitled to work in Canada. International students are not eligible for SWPP-funded placements.

Why ProCogia

You will work at the intersection of cloud, DevOps, and AI, alongside engineers and researchers solving real enterprise problems. You will gain practical exposure to AWS, Infrastructure as Code, CI/CD, containers, Linux, cloud security, observability, and AI deployment while building reusable engineering solutions that have impact beyond your internship. You will be trusted with meaningful work, receive hands-on mentorship, and have the opportunity to grow quickly in a fast-moving consulting environment. Strong performance may also create opportunities to be considered for future roles at ProCogia.

ProCogia is proud to be an equal-opportunity employer. We are committed to creating a diverse and inclusive workspace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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More about this job

Responsibilities

The intern will support cloud environments, build CI/CD pipelines, and manage infrastructure as code while assisting with containerization and deployment workflows. They will also contribute to building the platform foundation for AI and LLM teams by setting up development environments and automating deployment processes.

Requirements

Candidates must be final-year Bachelor’s or current Master’s students in a relevant technical field with strong problem-solving and communication skills. Applicants must be Canadian citizens, permanent residents, or protected persons to meet the SWPP funding eligibility requirements.

Skills

AWS
Cloud Infrastructure
DevOps
Platform Engineering
Infrastructure as Code
CI/CD
Docker
Kubernetes
Linux
Python
Bash
PowerShell
Go
JavaScript
Networking
IAM

Visa sponsorship

Not detected in the job text

Keywords

DevOps
Cloud Platform
AWS
Infrastructure as Code
CI/CD
Docker
Kubernetes
Linux
Python
Bash
PowerShell
Go
JavaScript
Networking
IAM
Generative AI
LLM
MLOps
Automation
Platform Engineering
SRE
Consulting
Data Science
Software Engineering
Computer Engineering
GPU
API
Observability
Security
SWPP

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