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Remote Associate Cloud Engineer Jobs in Toronto, ON

25-183 - Kubernetes Engineer

Oshawa, ON · On-site +1

$60 - $85/hr

CHQ (Hybrid - 3 Days Remote) Job Overview Design and implement cloud-native infrastructure using ... Automate infrastructure provisioning and configuration using DevOps tools such as Azure DevOps (ADO ...

Mississauga, Ontario (Hybrid). 3x per week in office, 2x per week remote Function: Engineering ... Experience with cloud platforms - AWS or Azure - and CI/CD pipeline management * Strong ...

Please note some of these positions may be office-based, office-flexible or remote depending on the ... Whether you are at the Associate level or beyond, we hire based on skills/experience and are open ...

Systems Engineer

Toronto, ON · Remote

CA$80K - CA$90K/yr

Mostly remote - will be expected onsite as and when needed (~1-2 x per month) * Location: Toronto ... Execute cloud infrastructure projects, specifically for Office 365, to optimize client operations ...

Infrastructure Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

... Remote Qualifications: * 3-5+ years of experience building, operating, and improving production infrastructure or DevOps platforms * Strong experience with one or more major cloud platforms such as ...

Proactively monitor and resolve performance events in our cloud environment. * Develop tools for ... This position can be fully remote for the right candidate.

Cloud infrastructure (AWS, GCP, Azure) * Security Design * Queueing * Automated testing ... However, we will consider remote applicants +/- 3 hours from eastern time zone. Why work here * We ...

Cloud infrastructure (AWS, GCP, Azure) * Security Design * Queueing * Automated testing ... However, we will consider remote applicants +/- 3 hours from eastern time zone. Why work here * We ...

Contributes to the overall success of the Cloud Security Engineering function by ensuring longterm ... remote state management, workspace strategy, CI/CD integration plan and multi-environment ...

Backend Engineer

Toronto, ON · Remote

CA$140K - CA$240K/yr

... cloud-based, regulated, high-stakes environment. The Backend Engineer is expected to operate ... This is a fully remote position that offers a competitive salary range of $140,000 to $240,000 USD ...

Cloud Native & IaC: Deep practical experience building and deploying scalable applications on AWS ... Job Location - Remote (USA & Canada) The expected base salary for this position is: CAD 145000/ USD ...

Senior Platform Engineer

Toronto, ON · Remote

CA$157K - CA$212K/yr

The Systems Engineering team at Clio builds and operates the systems that power all of our cloud ... the Cloud. This posting is for an existing vacancy. #LI-Remote What you will find here:

Showing results 41-60

Remote Associate Cloud Engineer information

What is a remote associate cloud engineer?

A Remote Associate Cloud Engineer is an entry-level IT professional who helps design, deploy, and manage cloud-based solutions for organizations while working from a remote location. Their responsibilities often include assisting with cloud infrastructure setup, troubleshooting issues, monitoring cloud environments, and supporting more senior engineers. This role typically requires knowledge of cloud platforms like AWS, Google Cloud, or Azure, as well as basic networking and scripting skills. Remote Associate Cloud Engineers collaborate with teams virtually to ensure the reliability and security of cloud services.

What are the key skills and qualifications needed to thrive as a remote associate cloud engineer?

To thrive as a Remote Associate Cloud Engineer, you need a solid understanding of cloud computing principles, networking, and scripting languages, often backed by a relevant degree or cloud certification (such as AWS Certified Cloud Practitioner or Google Associate Cloud Engineer). Familiarity with cloud platforms (AWS, Azure, or Google Cloud), infrastructure-as-code tools like Terraform, and monitoring systems is typically required. Problem-solving abilities, strong communication, and self-motivation are vital soft skills, especially when working remotely. These skills enable efficient cloud infrastructure management, effective collaboration, and adaptability in a rapidly evolving digital environment.

How does a remote associate cloud engineer typically collaborate with team members across different time zones?

As a Remote Associate Cloud Engineer, you'll often work with distributed teams that may span several time zones. Collaboration is facilitated through daily stand-ups, regular video meetings, and asynchronous communication tools like Slack or Microsoft Teams. Documentation and clear communication are especially important to ensure project continuity and minimize delays. You'll likely use project management platforms such as Jira to track tasks and updates, and it's common to schedule overlapping work hours when possible for real-time collaboration on critical issues.

What is the difference between Remote Associate Cloud Engineer vs Remote Cloud Support Specialist?

AspectRemote Associate Cloud EngineerRemote Cloud Support Specialist
CertificationsAWS, Azure, GCP certifications often preferredSimilar cloud certifications may be required, but more support-focused
Work EnvironmentCollaborates with development and engineering teams on cloud projectsProvides technical support and troubleshooting for cloud users
Employer & Industry UsageUsed in tech companies, cloud service providers, and enterprisesCommon in IT support firms, cloud service providers, and enterprise support teams

The Remote Associate Cloud Engineer primarily focuses on designing, deploying, and managing cloud infrastructure, working closely with development teams. In contrast, the Remote Cloud Support Specialist handles troubleshooting, user support, and issue resolution related to cloud services. Both roles require cloud certifications and involve remote work, but their core responsibilities differ significantly.

What are the most commonly searched types of Remote Cloud Engineer jobs in Toronto, ON?

The most popular types of Remote Cloud Engineer jobs in Toronto, ON are:

What are popular job titles related to Remote Associate Cloud Engineer jobs in Toronto, ON?

For Remote Associate Cloud Engineer jobs in Toronto, ON, the most frequently searched job titles are:

Infographic showing various Remote Associate Cloud Engineer job openings in Toronto, ON as of June 2026, with employment types broken down into 64% Full Time, 19% Part Time, and 17% Contract. Highlights an 100% Remote job distribution.

Senior Platform Engineer - Cloud Architecture & AI Platforms

Derivative Path

Toronto, ON • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Who We Are
Derivative Path empowers institutions across the capital markets with innovative, AI-driven technology and expert advisory solutions. Our award-winning cloud platform supports banks, credit unions, private equity firms, hedge funds, asset managers, and insurance companies in managing interest rate, FX, and commodity risks, optimizing hedging strategies, and streamlining cross-border payments. With a client base spanning over 250 financial institutions and leading private equity firms, we deliver scalable solutions that enhance risk management and drive operational performance. Through strategic partnerships with Goldman Sachs, Wells Fargo, FNBO, Q2, and Jack Henry, we provide best-in-class capabilities to help clients achieve their financial objectives in an ever-evolving market.
With a team of seasoned professionals comprised of decades of industry experience, Derivative Path offers a flexible, hybrid work environment to its 125+ employees with the ability to work remotely and from one of four offices in San Francisco, New York, Chicago, and Manila. The Company is dedicated to building a diverse environment and has an unwavering commitment to creating a sense of belonging for all employees.
The Opportunity
Are you ready to build the foundation for the next generation of financial intelligence? At Derivative Path, we are leveraging cutting-edge AI to reshape how financial institutions operate.
We are seeking a Senior AI Platform Engineer to join our Delivery Infrastructure team. In this role, you will be the bridge between our robust DevOps practices and our AI Innovation Group, designing the scalable, secure cloud infrastructure that powers our AI and machine learning capabilities.

What You Will Do
As a Senior AI Platform Engineer, you will operate as a core member of the Delivery Infrastructure (DevOps) team, sharing in day-to-day operational responsibilities while leading the architecture and implementation of infrastructure for our AI initiatives. You will work primarily within AWS, while leveraging specific Azure capabilities, to build a seamless environment for model training, deployment, and inference.
You will move beyond traditional infrastructure management to define MLOps standards, automate complex pipelines, and ensure our AI workloads are secure and reliable. You will empower our data scientists to move faster by providing them with a robust, self-service platform.
Key Responsibilities
  • Design and own AWS multi-account architectures, including VPC networking, security controls, and shared-services patterns to support AI workloads.
  • Build and maintain scalable compute environments using ECS Fargate, EKS, and Lambda for both application and model hosting.
  • Implement Infrastructure as Code (IaC) using AWS CDK (preferred) or Terraform to define and manage the entire AI platform stack.
  • Develop and manage CI/CD pipelines using GitHub Actions, incorporating blue/green and canary strategies for model deployments.
  • Architect and operate data services including RDS (Aurora), S3, and Vector Databases (e.g., Pinecone, pgvector) to support RAG and other AI patterns.
  • Partner with the AI Innovation Group to operationalize models using AWS SageMaker, Bedrock, and Azure OpenAI Service.
  • Implement comprehensive observability for infrastructure and model performance, monitoring for latency, drift, and resource utilization.
  • Ensure platform resilience and security, defining disaster recovery strategies and enforcing strict IAM policies for sensitive data.

Essential Qualifications
  • 5+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure.
  • Deep expertise in AWS core services (EC2, VPC, IAM, S3) and networking (Transit Gateways, Route 53).
  • Strong proficiency in Infrastructure as Code, specifically AWS CDK or Terraform.
  • Experience with container orchestration (Kubernetes/EKS or ECS) and Docker.
  • Proficiency in Python for scripting and automation; experience with API frameworks (FastAPI) is a plus.
  • Familiarity with MLOps practices and tools (SageMaker, MLflow, Kubeflow) and deploying LLMs in production.
  • Experience designing CI/CD pipelines (GitHub Actions) for both code and data/model workflows.
  • Understanding of database architecture, including relational (PostgreSQL) and vector stores.
  • Bachelor’s degree in computer science, Engineering, or equivalent practical experience.

Location
  • Canada
Benefits
  • Competitive bonus, base salary, and equity compensation
  • 23 days of PTO
  • Fully remote
  • RRSP contribution at 3%
  • Competitive health benefits


The expected salary for this position is  $110K to $140K CAD and is eligible for a discretionary bonus and equity. We will consider your skills, experience, and location when determining your pay. 
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Derivative Path is an equal opportunity employer and does not discriminate based on any of the following: race, religious creed, color, age, sex, sexual orientation, gender identity, gender expression or gender characteristic, national origin, religion, marital status, medical condition, physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Derivative Path offers a comprehensive benefits package, including health, dental, vision, retirement plan, contribution, and a generous paid time off policy. As part of Derivative Path’s hiring process, interviews and evaluations may be conducted using AI-assisted technology.

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