About Kinaxis: About Kinaxis Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis. 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, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada’s Top Employers, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today. At Kinaxis, we power the world’s supply chains to help preserve the planet’s resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, 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. About the team: Location Ottawa, Canada: Hybrid Other Canadian locations: Remote, working in Eastern Time (EST/EDT) About the team Our customers have the largest supply chains imaginable. The scale, complexity, and volume of data driving those supply chains continues to grow. We build tools that make bringing that data into our platform, and managing it, possible. We’re continuously improving to keep pace with an ever-evolving modern data landscape. About the role: What you will do Drive the evolution of our data fabric Research and prototype exciting new platform API and data management capabilities Design, build, and test at all levels of the stack, from the frontend to infrastructure Consider multiple perspectives like security, testability, maintainability, and performance Collaborate closely with team members and stakeholders across the company Contribute to setting guidelines and good practices Proactively mentor others, actively engaging team members to develop their skills What we are looking for Our ideal candidate is a proven software developer and architect, and an expert in building tools for data management and system integration. You understand the domain and its challenges from a single event to the batch workloads required for AI/ML. You’re familiar with related areas like data quality, governance, and API lifecycle management. You can provide technical leadership to a variety of projects in a collaborative and dynamic environment. Required: Post-secondary degree in Computer Science, Engineering, or equivalent related discipline 10+ years of progressive enterprise software development experience Substantial development, architecture, and data knowledge and the demonstrated ability to affect change at multiple levels of the product stack, within and outside of your team A clear, concise, and professional communicator with the ability to present complex information and demonstrate knowledge in a way that their audience can understand A deep understanding of data management, related tools and technologies, and trends Disciplined approach to software testing including unit testing and continuous integration Ability to work in *nix environments and in the cloud with containerization technologies (Docker, Kubernetes) Nice to have: Good skills and experience with distributed computing architectures (e.g. Spark, Hive) Some knowledge of Apache Beam, its supported execution runners, and sources and sinks Familiarity with data governance tools (e.g. data catalogs) Experience working with major cloud technologies (AWS, Azure, and GCP) Informed opinions about APIM and experience leveraging APIs for third-party integration Familiarity with the supply chain management data domain #Senior #LI-EM1 Why join Kinaxis?: 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, Yamaha, P&G, Honda, 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 net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact. People matter at Kinaxis and these are some of the perks and benefits we created for our team: Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month) Flexible work options Physical and mental well-being programs Regularly scheduled virtual fitness classes Mentorship programs and training and career development Recognition programs and referral rewards Hackathons For more information, visit the Kinaxis web site at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com. Kinaxis strongly encourages diverse candidates to apply to our welcoming community. We strive to make our website and application process accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact 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.