Cloud Engineer , Site Reliability Engineering

About Kinaxis

Are you looking to join an innovative, market‑leading company where you can truly elevate your career? At Kinaxis we are serious about culture, technology, customers, and not taking ourselves too seriously. If you are looking to be part of an incredible growth story, this might be the place for you!

Ottawa and Toronto, Canada – Hybrid. Other Canadian locations – Remote.

The Site Reliability Engineering (SRE) team owns the delivery, operation, and monitoring of Kinaxis products and cloud infrastructure, ensuring services remain reliable, performant, and available for global customers 24/7. We build and operate automation at scale using infrastructure‑as‑code, deployment pipelines, and tools such as Terraform, Git Hub Actions, ArgoCD, and Ansible.

As a Cloud Engineer II, you will support the reliability and operational efficiency of the Kinaxis SaaS platform by building, deploying, and maintaining production systems. In this hands‑on role, you’ll collaborate with Product, Security, Platform, and Support teams, contribute to automation initiatives, and participate in incident response and continuous improvement efforts to enhance system stability and performance.

• Support the operation of production systems to meet SLA targets and maintain service availability for customer workloads.
• Contribute to automation across multiple environments (Azure, GCP, and data centres), including infrastructure as code (Terraform), deployment pipelines (Git Hub Actions, ArgoCD), and scripting (Python, Bash, Power Shell, Ansible).
• Assist in managing the lifecycle of production and hands‑on lab (HOL) environments, including deployment, resource management, and troubleshooting.
• Participate in an on‑call rotation, working with the team to investigate and resolve incidents.
• Troubleshoot infrastructure and application issues, escalating and collaborating as needed to resolve problems effectively.
• Work closely with Product, Platform, and Support teams to support the operation and stability of services in production.
• Learn from and collaborate with senior engineers, contributing to team knowledge sharing and continuous improvement of practices.

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
• Experience working in development, operations, or cloud engineering environments.
• 2–4 years of experience supporting production systems in cloud environments (GCP, Azure, or AWS).
• Familiarity with:
• Infrastructure as Code (Terraform)
• CI/CD and deployment pipelines (Git Hub Actions, ArgoCD)
• Scripting languages (Python, Bash, or Power Shell)
• Basic understanding of:
• Cloud platforms and services
• Containers and orchestration (Kubernetes is a plus)
• Strong troubleshooting and problem‑solving skills.
• Good communication and documentation skills.
• Ability to work effectively as part of a team and take ownership of assigned work.

• Flexible vacation and Kinaxis Days (company‑wide days off)
• Flexible work options
• Physical and mental well‑being programs
• Regularly scheduled virtual fitness classes
• Mentorship programs, training, and career development
• Recognition programs and referral rewards
• Hackathons

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team.

AI does not make any final hiring decisions.