Cloud Deployment Specialist, Product Verification

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, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

In 1984, we started out as a team of three engineers. 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.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. 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.

Location

Hybrid - our office in Ottawa

About the role

Kinaxis is looking for a Cloud Deployment Specialist to join our Product Verification (PV) team within R&D. We build and run the engineering cloud environments used for end-to-end and performance testing, and we deploy complex, multi-component customer solutions so teams can validate changes quickly and confidently. Our scope is engineering tenants and non-production environments, bringing an SRE-like operational mindset to product engineering. We are cloud-platform agnostic, running on Azure today, expanding to GCP, and potentially AWS in the future.

This is an existing job vacancy

What you will do

• Own the operational health of PV engineering tenants and non-production environments used for E2E and performance testing
• Deploy, configure, and troubleshoot complex, multi-component solutions across Kubernetes and supporting cloud services
• Partner with development teams on deployment requirements, environment needs, and release readiness, and align with SRE on production boundaries and best practices
• Build and improve automation for deployment validation (smoke checks, health checks, and verification workflows)
• Develop and maintain CI/CD and GitOps workflows (e.g., GitHub Actions, Argo CD), plus Infrastructure-as-Code (e.g., Terraform)
• Improve environment reliability, observability, and cost efficiency through standardization and continuous improvement

What we are looking for

Core requirements

• 4+ years of experience working with various cloud resources and deployments.
• Hands-on experience operating Kubernetes (AKS and/or GKE)
• Strong troubleshooting across distributed systems (networking, DNS, certificates, load balancing, storage, and configuration)
• Operations mindset, including reliability, repeatability, incident response, and runbooks
• Infrastructure as Code (Terraform preferred) and Git-based workflows
• CI/CD and/or GitOps experience (pipelines, GitHub Actions, Argo CD)

Cloud &Platform

• Public cloud experience (Azure and/or GCP; AWS is a plus), using console and APIs
• Ability to apply repeatable patterns across cloud providers
• Cost awareness, including spend visibility and basic optimizations

Automation & engineering

• Experience with deployment automation and toolchains (GitHub Actions preferred; Jenkins is a plus)
• Configuration and packaging tools (Ansible, Helm); Docker experience
• Comfort reading and improving deployment code/configuration for multi-component solutions, including building automated validations

Ways of working

• Clear communicator who documents decisions, runbooks, and operational knowledge
• Comfortable with engineering/non-production scope and partnering with SRE for production boundaries
• Uses AI-assisted tools (e.g., GitHub Copilot / Microsoft Copilot) thoughtfully to accelerate work, while validating outputs and following secure practices

Work With Impact: 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.

Work with Fortune 500 Brands: 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.

People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:

• 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

For more information, visit the Kinaxis website at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com.

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 recruitmentprograms@kinaxis.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.