About Kinaxis

About the team

Compensation range

$27.04 - $39.66hourly rate. The final offer within this range will reflect the candidate’s skills, year of education, and experience.

Vacancy Status

This is an existing job vacancy.

What you will do

• 
  Collaborative Development: Work with senior engineers on developing, enhancing, and integrating software solutions for real-world AI/ML applications, from tech selection to production code on our latest projects.
• Platform Enhancement: Contribute to the continuous improvement of our AI platform, ensuring scalability, maintainability, security, and quality.
• End-to-End ML Development: Develop and integrate ML software end to end, including building and setting up new development tools, infrastructure, and ML pipelines and models.
• Troubleshooting & Reliability: Design effective methods for troubleshooting, debugging, and preventing problems in ML software systems. Get to the root cause of issues, meeting users' needs and influencing the product development roadmap. Develop product capabilities and tools that increase the robustness of the user experience, reduce the cost of troubleshooting, or reduce the time required to address issues.
• Automation & Process Improvement: Find ways to automate and improve development and release processes.
• Software Reliability: Ensure user needs are met through cross-functional stakeholder understanding and engagement. Understand both the details of the use cases that end-users are performing using the solution as well as the architecture and implementation of the system end to end.
• Learning & Growth: Gain hands-on experience in software development, Generative AI, cloud-native technologies, and machine learning through paired programming, code reviews, and mentorship.
• Agile Practices: Participate in agile processes such as sprint planning, huddles, paired programming, and retrospectives, collaborating with cross-functional teams to deliver high-quality solutions.

• Ownership of Quality: Champion product quality by verifying the functional and non-functional quality of features developed. You will be treated like a full-time developer and are expected to take ownership of the features you develop.
• Technologies you will work with: Python, Docker, Kubernetes, Argo Workflows, Azure/GCP, GitHub Actions, Shell Script, Terraform, Linux/Unix CLI, SQL.

What we are looking for

• Currently pursuing a Master's degree or have completed 3rd year Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Familiarity and experience with Generative AI and LLMs, prompt engineering, AI coding assistants, GitHub Copilot, Claude Code, OpenAI Codex, etc.
• Strong software engineering skills and programming proficiency in Python, with experience using libraries such as Pandas and ML frameworks.
• Experience with Docker and Kubernetes at scale, including the Kubernetes ecosystem (Helm, Argo Workflows, CI/CD).
• Working experience with Azure/GCP cloud environments.
• Proficiency in SQL – including advanced concepts such as window functions, aggregate functions, and joins.
• Understanding of distributed computing architectures.
• Experience with Machine Learning Solutions and productization.
• Strong customer orientation and ability to understand the system end-user perspective while integrating ML software for production systems.
• Ability to work through complex technical problems with a logical and methodical approach.
• You love to work in a team, learning from others, and spreading knowledge.
• Strong communication skills — ability to easily articulate complex concepts in writing and speech.
• Enthusiastic about gaining hands-on experience in software development, AI/ML, and cloud computing.
• You enjoy solving puzzles, troubleshooting issues, and multi-tasking to provide significant positive impact to the business.
• Ability and enthusiasm to learn new technologies whether they are infrastructure, language, or platform, and easily adapt to change.

We’re accepting applications now through end of day on Friday, June 12, 2026. Please note that we may begin reviewing applications before the posting closes, so early submission is encouraged.

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.