Junior 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, 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, Canada - Hybrid

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 Junior Cloud Engineer to join our Site Reliability Engineering team and contribute to the reliability, automation, and operational efficiency of the Kinaxis SaaS platform.

This role is ideal for an early-career software engineer with a strong foundation in programming, problem-solving, and software development principles who is interested in building a career in cloud engineering and Site Reliability Engineering.

You will work alongside experienced engineers who will provide mentorship and opportunities to develop your skills in cloud infrastructure, automation, deployment technologies, and production operations. While previous experience with cloud platforms or DevOps tools is beneficial, it is not required. We are looking for someone with a strong technical foundation, curiosity, and a willingness to learn.

You will collaborate with Product, Security, Platform, and Support teams, contributing to the tools and processes that help ensure our services remain reliable, available, and performant for customers.

Salary Range

Annual cash compensation ranges from $79,500 to $95,000, plus a discretionary 8% company bonus. The final offer within this range will reflect the successful candidate’s skills and experience.

Vacancy Status

This is an existing job vacancy

What you will do

• Support the operation and monitoring of production systems to help meet service-level objectives and maintain service availability for customer workloads.
• Contribute to automation initiatives across multiple environments (Azure, GCP, and datacenters), learning to work with infrastructure-as-code tools such as Terraform and Ansible.
• Assist with the development and maintenance of deployment pipelines using technologies such as GitHub Actions and ArgoCD.
• Write and maintain scripts and automation using programming and scripting languages such as Python, Bash, or PowerShell.
• Assist in managing the lifecycle of production and Hands-on Lab (HOL) environments, including deployment, resource management, and troubleshooting.
• Participate in troubleshooting infrastructure and application issues, working with senior engineers to investigate and resolve problems.
• Participate in an on-call rotation as skills and familiarity with the environment develop, working alongside the team to investigate and resolve incidents.
• Work closely with Product, Platform, and Support teams to support the stability and operation of services in production.
• Learn from and collaborate with experienced engineers, contributing to knowledge sharing and continuous improvement of engineering practices.

What we are looking for

• Bachelor's degree in Software Engineering, Computer Science, Computer Engineering, or a related technical discipline.
• Approximately 1–2 years of experience in software development, software engineering, or a related technical field. Relevant internship, co-op, academic, or project experience may also be considered.
• Programming experience in at least one of the following languages: C#, Java, Rust, or Python.
• Solid understanding of software development fundamentals, including coding practices, debugging, and problem-solving.
• Familiarity with version control systems such as Git.
• Strong analytical and troubleshooting skills, with an eagerness to learn new technologies and develop technical capabilities.
• Good communication skills and the ability to work collaboratively within a team.

Nice to have

• Exposure to public cloud platforms such as Microsoft Azure, Google Cloud Platform (GCP), or AWS.
• Familiarity or hands-on experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
• Exposure to containers and container orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD concepts and deployment automation tools such as GitHub Actions or ArgoCD.
• Basic understanding of Linux, operating systems, networking, or scripting.
• Personal, academic, or professional projects involving cloud technologies, infrastructure automation, or application deployment.

#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 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 [email protected]. 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.