Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada.

As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.

Other Canadian locations - Remote

Imperative Orchestration, Declarative Automation - The Cloud Platform Engineering Team is responsible for building and running a cloud platform that enables delivery teams to self-service deployments with reduced lead time and complexity. We also provide cloud services and tools that enable internal development teams to build, test and deploy their applications using modern platform tooling like CI/CD pipelines, Terraform and Kubernetes delivery via ArgoCD. These same tools we leverage to ensure our customer environments are automated and continuously up to date.





As a Staff Cloud Platform Engineer you will provide technical leadership in advancing our cloud platform capabilities and delivering exceptional experiences to our development and operations teams.

Solve complex challenges as a trusted technical lead.

Drive a DevOps mindset and collaboration within the Cloud Platform Engineering Team.

Develop and enhance cloud reference architectures and guide teams on implementation.

Influence architectural decisions, improve CI/CD pipelines, and build secure, high-performing, resilient, and productive cloud infrastructure.

Lead code and design reviews for high-quality deliverables.

Cloud Service Providers: GCP, Azure & AWS

Configuration Management: Ansible

Bachelor's degree/diploma in Computer Science, Engineering or equivalent related discipline. 5-7 years of directly related increasingly complex experience in cloud engineering roles; high-tech, global environment preferred, working on one or more enterprise grade software applications.

Experience with public cloud platforms, both console and API (GCP preferred).

applications, infrastructure, storage, platforms, and data).

Experience developing in Go, Python and/or Shell/Bash.

Practical understanding of agile methodologies and Scrum.

Our platform directly helps companies power the world’s supply chains.



We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G;, ExxonMobil, Cisco and more.

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.

Flexible vacation and Kinaxis Days (company-wide days off)

Flexible work options

Regularly scheduled virtual fitness classes

Mentorship programs, training, and career development For more information, visit the Kinaxis website at or the company’s blog at .

We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the to identify candidates whose education, experience, and skills most closely match the requirements of the role. AI does not make any final hiring decisions. #

📌 Staff Cloud Engineer , Cloud Platform (Ontario)
🏢 Kinaxis
📍 Ontario