ZipRecruiter

Log In

1

Cloud Computing Developer Jobs in Toronto, ON (NOW HIRING)

Forhyre

AI Cloud Solutions Director

Toronto, ON · On-site

Ensure compliance with industry standards and best practices in AI and cloud computing. Requirements: * Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is ...

emergiTEL Inc.

Sr. Cloud Platform Engineer

Toronto, ON · On-site

CA$130K - CA$140K/yr

emergiTEL is hiring a Cloud Software Developer for our client in the financial services industry ... Produces documentation and operational instructions for cloud computing processes. * Establishes ...

Forhyre

Cloud Service Reliability Engineer

Toronto, ON · On-site

... computing services/integrations, and data analytics technologies. Responsibilities of the Cloud Service Reliability Engineer: * Establishes technology product specifications and collaborates with ...

McKesson

Lead Cloud Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

... including DevOps, GitOps, CI/CD pipeline, test automation, environment, and configuration automation. * Experience in working with cloud computing technologies (MS Azure or GCP) is preferred.

McKesson

Lead Cloud Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

... including DevOps, GitOps, CI/CD pipeline, test automation, environment, and configuration automation. * Experience in working with cloud computing technologies (MS Azure or GCP) is preferred.

MCKESSON

Lead Cloud Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

... including DevOps, GitOps, CI/CD pipeline, test automation, environment, and configuration automation. * Experience in working with cloud computing technologies (MS Azure or GCP) is preferred.

State Street

AVP, Software Developer

Toronto, ON

CA$91K - CA$140K/yr

Who we are looking for Software Developer will contribute to the development, enhancement and ... Cloud Computing; Kubernetes, Kafka, Azure/AWS * Snowflake Education & Preferred Qualifications

Morson Talent

26-017 - AI Developer

Oshawa, ON · Hybrid

$85 - $110/hr

AI Developer Resume Due Date: Tuesday, April 14th, 2026 (5:00PM EST) Number of Vacancies: 4 Level ... Professional certifications related to cloud computing, data platforms, or artificial intelligence ...

Forhyre

Cloud DevOps Engineer

Toronto, ON · On-site

Forhyre is seeking an experienced DevOps engineer with experience in cloud architecture ... computing and cybersecurity. Requirements Key Qualifications: * Experience with Cloud-native ...

BMO Capital Markets

AWS Data Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

... and, developer tools. Migrates existing applications to the cloud, and modifies existing ... Creates instructions for cloud computing operations and documentation. * Establishes a development ...

next page

Showing results 1-20

All JobsCloud Computing Developer JobsCloud Computing Developer Jobs in Toronto, ON

Cloud Computing Developer information

See Toronto, ON salary details

$29.1K

$108.7K

$170.8K

How much do cloud computing developer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for cloud computing developer in Toronto, ON is $108,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,388.00 and $122,155.00 per year, depending on experience, location, and employer.

Will AI replace cloud developers?

AI is unlikely to fully replace cloud computing developers, as their role involves designing, implementing, and managing complex cloud infrastructure that requires human expertise. AI tools can assist with automation and routine tasks, but skilled developers are needed for architecture, troubleshooting, and strategic decision-making in cloud environments. Continuous learning and certification in cloud platforms remain important for job security in this field.

What are some common challenges Cloud Computing Developers face when integrating new cloud services into existing systems?

Cloud Computing Developers often encounter challenges such as ensuring compatibility between legacy infrastructure and new cloud services, managing data migration with minimal downtime, and addressing security and compliance concerns during integration. Collaboration with cross-functional teams, including DevOps and security specialists, is essential to identify potential risks and design seamless workflows. Staying updated with evolving cloud technologies and best practices also helps developers effectively overcome these integration hurdles.

What is a Cloud Computing Developer?

A Cloud Computing Developer is a software professional who designs, develops, and maintains applications and services that run on cloud platforms such as AWS, Microsoft Azure, or Google Cloud. Their work involves using cloud-based infrastructure, APIs, and tools to build scalable, secure, and reliable solutions. These developers often work with technologies like containers, serverless computing, and cloud databases, and are responsible for ensuring cloud applications perform efficiently. They also focus on optimizing costs, managing cloud resources, and implementing security best practices in the cloud environment.

What is the difference between Cloud Computing Developer vs Cloud Software Engineer?

AspectCloud Computing DeveloperCloud Software Engineer
Primary FocusDesigning and developing cloud-based applications and solutionsBuilding, deploying, and maintaining cloud infrastructure and services
Skills & CertificationsCloud platforms (AWS, Azure), programming, APIs, DevOpsCloud architecture, scripting, automation, CI/CD tools
Work EnvironmentDevelopment teams, cloud platforms, software projectsOperations, infrastructure, deployment pipelines
Industry UsageTech companies, SaaS providers, startupsEnterprises, cloud service providers, IT departments

While both roles involve cloud technologies, Cloud Computing Developers focus on creating cloud applications, whereas Cloud Software Engineers work on cloud infrastructure and deployment systems. Understanding these differences helps in choosing the right career path or job search focus.

Is 28 too late for cloud or cybersecurity?

Cloud computing developers and cybersecurity professionals can start at any age, including 28, as these fields value skills, certifications, and experience over age. Many successful professionals transition into these careers later in life by gaining relevant knowledge through training, certifications like AWS or CompTIA Security+, and hands-on experience.

Can I learn cloud in 3 months?

A Cloud Computing Developer can acquire foundational cloud skills in about three months with focused study on core concepts, cloud platforms like AWS, Azure, or Google Cloud, and hands-on practice with tools and certifications such as AWS Certified Solutions Architect. However, mastering advanced topics and gaining extensive experience typically requires longer-term learning and real-world application.

What are the key skills and qualifications needed to thrive as a Cloud Computing Developer, and why are they important?

A Cloud Computing Developer should have strong programming skills (such as Java, Python, or Go), knowledge of cloud architecture, and experience with major cloud platforms like AWS, Azure, or Google Cloud, often supported by relevant certifications. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code (e.g., Terraform) is typically required. Problem-solving ability, teamwork, and effective communication are crucial soft skills for designing scalable solutions and collaborating with cross-functional teams. These skills ensure the developer can build reliable, secure, and efficient cloud applications that meet organizational needs.

Is cloud developer a good career?

A cloud computing developer is a valuable role focused on designing, building, and maintaining cloud-based applications and infrastructure. It typically requires skills in cloud platforms like AWS, Azure, or Google Cloud, along with programming and security knowledge. The demand for cloud developers is high due to the increasing adoption of cloud technology across industries.
What are popular job titles related to Cloud Computing Developer jobs in Toronto, ON? For Cloud Computing Developer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Cloud Computing Developer jobs in Toronto, ON look for? The top searched job categories for Cloud Computing Developer jobs in Toronto, ON are:
Cloud Computing Developer jobs near you
Infographic showing various Cloud Computing Developer job openings in Toronto, ON as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 79% Physical, 9% Hybrid, and 12% Remote job distribution, with an average salary of $108,699 per year, or $52.3 per hour.

AI & Cloud Computing Analyst

Mjolnir Security

Toronto, ON • On-site

Full-time

Posted 16 days ago

Be an early applicant

Job description

Salary: 90,000

About Mjolnir Security

Mjolnir Security is a Canadian MSSP and Digital Forensics & Incident Response (DFIR) firm operating at the intersection of security and advanced technology. We design, build, and operate proprietary AI-augmented platforms that power security operations, threat intelligence, forensic workflows, and infrastructure automation for enterprise clients across regulated industries. Canadian data residency is a non-negotiable design principle across everything we build and operate.


The Role

We're looking for an AI & Cloud Computing Analyst who is technically curious, cloud-literate, and genuinely excited about applying modern AI to real security and operational problems. You'll support the design, deployment, and maintenance of cloud infrastructure, AI-integrated workflows, and Zero Trust network architecture working directly with the senior leadership team on both internal platform development and client-facing cloud engagements.

This is a hands-on, high-exposure role in a small firm. You'll work across the full stack infrastructure, automation, AI integration, and documentation and be expected to grow fast.


What You'll Do

  • Support deployment and maintenance of Canadian-resident cloud and on-premise virtualization infrastructure, including server provisioning, VM lifecycle management, and environment hardening
  • Assist with Zero Trust network architecture configuration: endpoint agent deployment, access policy management, secure tunneling, and per-device access controls
  • Help build, test, and refine AI-powered workflows that integrate large language models into security operations, document processing, and internal automation pipelines
  • Support the deployment and operation of self-hosted AI inference environments, including local model serving and retrieval-augmented generation (RAG) pipelines
  • Contribute to Python-based tooling: API backend development, automation scripts, data processing pipelines, and third-party integrations
  • Assist with Linux system administration for server infrastructure, thin client deployments, and VM templates including hardening, networking, and remote access configuration
  • Support Microsoft Azure and M365 administration including identity management, endpoint management, and cloud resource oversight
  • Document infrastructure configurations, deployment runbooks, and architecture decisions to a high standard
  • Participate in internal platform testing, debugging, and iterative improvement cycles across a portfolio of proprietary security tools


What You Bring

  • 3+ years of experience in cloud infrastructure, DevOps, or AI/ML engineering or a strong academic foundation with demonstrable hands-on project work
  • Working knowledge of at least one major cloud platform, with Microsoft Azure preferred
  • Comfort with Linux administration: CLI proficiency, service management, SSH, networking fundamentals, and basic system hardening
  • Ability to read, write, and debug Python; comfort with REST API patterns and integrations
  • Familiarity with AI/LLM concepts: API usage, prompt engineering, or retrieval-augmented generation (RAG) architecture is a strong asset
  • Understanding of Zero Trust networking principles and secure remote access design is an advantage
  • Microsoft Azure certifications (AZ-900, AZ-104, or AI-102) are valued but not required
  • Strong documentation habits you write things down clearly and precisely so others can follow
  • A builder's mindset: you want to understand how systems work at a level deeper than the documentation suggests


Why Join Us

  • Work on production AI infrastructure supporting real security operations not sandbox projects or internal demos
  • Exposure to a technically sophisticated stack spanning Zero Trust, self-hosted AI, DFIR tooling, and enterprise cloud without being siloed into a single product area
  • Direct mentorship from the founder across cloud architecture, AI platform design, and security engineering
  • Opportunity to contribute to proprietary platform development across SaaS, internal tooling, and client-facing products
  • Competitive compensation, hybrid flexibility, and a technical culture that builds, ships, and iterates continuously


Location requirement: Candidates must reside in the Greater Toronto Area. This onsite role requires in-person availability at our office up to four days per week. Relocation assistance and travel reimbursement are not available for this position.