云工程师2,站点可靠性工程
Cloud Engineer 2, Site Reliability Engineering
## 云工程师2,站点可靠性工程
地点
CA-远程
ID
2026-35470
类别
工程
职位类型
全职
远程
是
关于Kinaxis
你是否希望加入一家创新、市场领先的公司,真正提升你的职业生涯?在Kinaxis,我们重视文化,重视技术,重视客户,也重视不把自身太当回事。如果你希望成为一段非凡成长故事的一部分,那么我们可能就是适合你的地方!
1984年,我们由三名工程师起步。如今,我们已成长为一家拥有全球2000多名员工的组织,在全球设有6个办公室,总部位于加拿大渥太华。作为多家全球雇主奖项的获得者,我们自豪地与客户和员工一起,解决当今供应链面临的最大挑战。
Kinaxis是现代供应链编排领域的全球领导者,为复杂的全球供应链提供支持,并为管理这些供应链的人们提供帮助。我们强大的、融合人工智能的平台实现了端到端供应链的全面透明和可见性,使我们的客户能够更快、更明智地做出决策。我们被知名全球品牌所信赖,以提供应对当今波动和破坏所需的敏捷性和可预测性。在全球100多个国家拥有超过40,000名用户,我们正在扩大团队,继续创新并革新我们对客户的支持方式。
地点
加拿大渥太华和多伦多 - 混合办公
其他加拿大地点 - 远程
关于团队
站点可靠性工程团队负责Kinaxis产品和云基础设施在生产环境中的交付、运营和监控。我们专注于确保服务对全球客户全天候可靠、高效且可用。
该团队构建和运营支持大规模生产的工具和自动化。这包括使用GitHub Actions、Terraform、ArgoCD和Ansible等工具进行基础设施即代码、部署流水线和平台级自动化。
**关于该职位**
我们正在站点可靠性工程团队中寻找一名云工程师II,以支持Kinaxis SaaS平台的可靠性、自动化和运营效率。在此职位上,你将参与构建、运营和维护系统,确保我们的服务在生产环境中保持可用和稳定。
你将与...
查看英文原文
## Cloud Engineer 2, Site Reliability Engineering
Location
CA-Remote
ID
2026-35470
Category
Engineering
Position Type
Full-Time
Remote
Yes
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
Ottawa and Toronto, Canada - Hybrid
Other Canadian locations - Remote
About the team
The Site Reliability Engineering team owns the delivery, operation, and monitoring of Kinaxis products and cloud infrastructure in production. We are focused on keeping services reliable, performant, and available for our global customers, 24x7.
The team builds and operates the tooling and automation needed to support production at scale. This includes infrastructure-as-code, deployment pipelines, and platform-level automation using tools such as GitHub Actions, Terraform, ArgoCD, and Ansible.
**About the role**
We are seeking a Cloud Engineer II within the Site Reliability Engineering team to support the reliability, automation, and operational efficiency of the Kinaxis SaaS platform. In this role, you will contribute to building, operating, and maintaining systems that ensure our services remain available and stable in production.
You will work closely with Product, Security, Platform, and Support teams to help deploy and operate services in a way that meets performance and reliability expectations. You will contribute to automation efforts and assist in translating technical designs into practical implementations.
This is a hands-on technical role where you will develop your skills in cloud infrastructure, automation, and production operations. You will participate in incident response, troubleshooting, and continuous improvement efforts to enhance the reliability and operability of the platform
Vacancy Status
This is an existing job vacancy
What you will do
- 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 datacenters), including infrastructure as code (Terraform), deployment pipelines (GitHub Actions, ArgoCD), and scripting (Python, Bash, PowerShell, 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.
What we are looking for
- 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 (GitHub Actions, ArgoCD)
- Scripting languages (Python, Bash, or PowerShell)
- 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.
**#Associate,** **#Intermediate**
**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](https://www.kinaxis.com/en) or the company’s blog at [http://blog.kinaxis.com](https://www.kinaxis.com/en/blog).
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._
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