Staff Cloud Engineer, Site Reliability Engineering

About Kinaxis
Join an innovative, market‑leading company where you can elevate your career. We are serious about culture, technology, customers, and not taking ourselves too seriously. If you want to be part of an incredible growth story, this is the place for you.

In 1984 we started as a team of three engineers. Today we have grown to a global organization with over 2000 employees worldwide, 6 global offices and a best‑in‑class HQ in Ottawa, Canada. We are proud to work with our customers and employees toward solving some of the biggest challenges facing supply chains today.

Location

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

About The Team

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 platform tooling such as Terraform, GitHub Actions, ArgoCD, and Ansible.

What you will do

• Build and operate production systems that meet SLA targets and support customer workloads at scale.
• Develop and maintain automation across multiple public clouds (Azure, GCP, and datacenters), infrastructure‑as‑code (Terraform), deployment pipelines (GitHub Actions and Terraform), and scripting languages (Ansible, Python, PowerShell, Bash).
• Own the lifecycle of production and hands‑on lab environments, including deployment, resource management, incident triage, and troubleshooting.
• Participate in on‑call rotation, resolving incidents and driving root cause analysis and long‑term fixes.
• Work closely with Product, Platform, and Support teams and take ownership of complex operational problems, improving how the platform runs over time.
• Provide technical guidance and mentorship to other engineers, helping improve how the team designs, builds, and operates systems.

What we are looking for

• Bachelor’s/Master’s degree in Engineering with specialization in Computer Science or related discipline or demonstrated equivalent experience.
• Prior experience in development and operational roles.
• 5+ years of experience managing production systems in GCP, Azure or AWS.
• 5+ years of experience developing managed solutions:
  • Configuration management (Ansible)
  • Infrastructure management (Terraform)
  • CI/CD solutions (ArgoCD)
• 5+ years of experience developing in scripting languages:
  • Python
  • PowerShell
  • Bash
• Knowledge of containers and orchestrators:
  • Kubernetes
  • Helm
• Ability to share knowledge with others in the company.
• Proactive communication and documentation skills.
• Ability to work independently, and as part of a team.

Benefits

• 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

Legal Statement

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 View email address on ca.talent.com. 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.