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

Cloud infrastructure knowledge (Azure, AWS, or GCP) including Kubernetes, Docker, and serverless computing * Experience in DevOps (CI/CD) and version control (Git) * RESTful API design and ...

... of cloud computing experience with GCP, AWS, or Azure. * Proficiency in back-end development (Linux, .Net Core, multithreaded programming) and front-end skills (React, JavaScript, TypeScript)

... computing, hyperscale data analytics, cybersecurity, supply chain logistics, fiber broadband ... and AWS service engineering teams, influencing the cloud services roadmap based on field ...

Systems Infrastructure Manager

Toronto, ON · Hybrid

$120K - $135K/yr

The role of Manager, Cloud & DevOps Platform Support involves leading a team of senior technical ... Practical experience in Public/Private Cloud Computing and CaaS (Containers as a Service) with ...

Systems Infrastructure Manager

Toronto, ON · Hybrid

$120K - $135K/yr

The role of Manager, Cloud & DevOps Platform Support involves leading a team of senior technical ... Practical experience in Public/Private Cloud Computing and CaaS (Containers as a Service) with ...

The Senior Data Engineer bridges analytical expertise and engineering capabilities within the US ... Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL ...

Knowledge of complementary frameworks such as LeanIT, COBIT, DevOps, and Cloud Computing. * Experience with REST/SOAP integrations, MID Server configurations, and platform performance optimization.

We are looking for engineers that love to take on new challenges, solve tough problems, and have ... Prior working experience in a cloud computing environment like AWS/GCP is highly desired. * Prior ...

Salary: $100,000 - $115,000 Lead Software Developer Location: Remote (Candidate must reside in ... Cloud computing expertise. Ideally with GCP and Terraform * Backend development experience. Ideally ...

Lead Software Developer Location: Remote (Candidate must reside in Canada) Hiring Range: $100,000 ... Cloud computing expertise. Ideally with GCP and Terraform * Backend development experience. Ideally ...

We are looking for an experienced Network Engineer, to have have an excellent command of network ... via cloud computing and partners with some of the world's largest companies; * We provide global ...

... cloud computing platforms such as Kubernetes, Docker, GCP, and AWS. Preferred Qualifications: - Ph.D. in Computer Science, Electrical Engineering, or a related field. - 5+ years of experience in ...

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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:
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.

Field Applications Engineer (Integrated Photonics & AI) | Toronto, Hybrid

C&D Talent Advisory

Toronto, ON • On-site

$150K - $250K/yr

Full-time

Posted 8 days ago


Job description

About the Client

Our Client is building a new generation of AI systems designed to reason with the rigor of the scientific method. By combining deep learning, formal logic, and physics-based modeling, the platform enables engineers and researchers to accelerate complex semiconductor and photonic development workflows through verifiable and interpretable AI.

The company's mission is to deliver a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030. Operating at the intersection of scientific computing, artificial intelligence, and advanced engineering, Our Client is building a team of exceptional technical experts to help shape the future of hardware innovation.

  • Location: Boston, USA (Hybrid)
  • Employment Type: Full-Time
  • Level: Mid-Senior Level
  • Compensation: $150,000 – $250,000 + Equity
  • Relocation Support: Available for US-based candidates moving to Boston; Visa sponsorship and transfers are available for strong candidates in the US.
The Opportunity

Our Client is seeking a Field Applications Engineer with deep expertise in Integrated Photonics to help enterprise customers solve complex engineering challenges through AI-assisted design and workflow automation.

This is not a traditional pre-sales role.

You will operate at the intersection of photonic engineering, scientific AI, EDA tooling, and customer deployment. Working directly with PIC designers, photonic foundries, and EDA vendors, you will transform real-world engineering bottlenecks into deployable AI-assisted workflows that improve design quality, manufacturability, and development speed.

This position offers a exciting opportunity to become a technical leader in the emerging field of AI-assisted photonic engineering.

Key Responsibilities
  • Design and deploy AI-assisted workflows for photonic design, verification, simulation, and yield optimization
  • Translate complex engineering processes into structured, physics-grounded workflows
  • Identify bottlenecks across photonic development lifecycles and develop scalable solutions
  • Collaborate directly with PIC designers, foundries, and EDA vendors
  • Integrate solutions into existing EDA environments, simulation platforms, and PDK ecosystems
  • Develop workflows supporting variability analysis, compact modeling, layout-aware optimization, and measurement interpretation
  • Support customers throughout deployment and adoption processes
  • Provide technical leadership and trusted guidance to engineering stakeholders
  • Feed customer insights back into product development and platform capabilities
  • Contribute to workflow architecture, deployment best practices, and future platform direction
Requirements
  • MSc or PhD in Integrated Photonics, Electrical Engineering, Telecommunications Engineering, Applied Physics, or a related discipline
  • 5+ years of hands-on experience in integrated photonic product development
  • Proven experience bringing photonic technologies from development through deployment or commercialization
  • Strong expertise with photonic simulation and EDA environments such as; COMSOL, Ansys, RSoft, Cadence Virtuoso, Synopsys OptoCompiler, Luceda IPKISS, Similar photonic design platforms
  • Experience designing advanced photonic components including; High-speed modulators, Photodiodes, Optical interconnects, Silicon photonics devices
  • Experience working directly with photonic foundries and EDA vendors
  • Knowledge of multi-objective optimization and co-design methodologies
  • Excellent communication skills with both technical and business stakeholders
Preferred Qualifications
  • Experience using modern AI technologies including; LLMs, APIs, Agentic systems, Workflow orchestration frameworks
  • Python programming for scientific computing and automation
  • Experience with cloud computing or HPC environments
  • Exposure to enterprise software deployment
  • Experience collaborating with R&D organizations
  • Prior Field Applications Engineer, Field Scientist, Solutions Engineer, or Customer Success Engineer experience within photonics or semiconductors
What We Offer
  • Competitive compensation package
  • Equity participation through stock options
  • Access to cutting-edge AI, photonics, and semiconductor technologies
  • Direct collaboration with leading researchers and industry experts
  • Conference participation and professional development opportunities
  • Exposure to advanced scientific computing and AI infrastructure
  • High-impact technical work with real-world engineering applications
  • Opportunity to shape a rapidly growing technical function

If you are passionate about integrated photonics, scientific computing, and applying AI to solve real engineering challenges, we would love to hear from you...