Staff Software Developer, AI Platform
Kinaxis
Full time
Software Development
Canada
Hiring from: Canada
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.
Location
Our office in Ottawa, CA - Hybrid, 3 days a week on site
Our office in Toronto, CA - Hybrid, 1 day a week on site
About The Team
Join a dynamic software engineering team specializing in Big Data and AI on the Cloud at Kinaxis. We partner closely with Data Engineers and Data Scientists to create next-generation, scalable, and secure Big Data and AI solutions for global supply chains. Our focus is on transforming innovative concepts into robust, maintainable systems.
As part of the Kinaxis AI Platform (AIP) team, you'll be at the forefront of cloud-native big data and machine learning (ML) processing. We operate at the intersection of DataOps, MLOps, and Software Engineering, developing tools that empower our users to seamlessly manage big data and deploy ML applications globally
What you will do
Education: Bachelor’s or Master’s degree in Computer Science or a related field.
Experience: Over 10 years in software development, including 3+ years specializing in enterprise-grade Spark or big data applications, with hands-on experience managing production data systems.
Technical Skills: Expertise in designing, developing, and maintaining scalable software solutions using Python, Scala, and/or Java, with strong proficiency in big data processing, ETL pipelines, and data warehousing. We expect a deep understanding of both architectural principles and hands-on tool usage.
Quality Focus: Strong commitment to product quality and building maintainable software.
Communication: Excellent written, verbal, and interpersonal skills, with the ability to communicate complex technical concepts effectively to a variety of stakeholders.
Nice To Have
#Senior
# LI-DN1
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:
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.
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.
Location
Our office in Ottawa, CA - Hybrid, 3 days a week on site
Our office in Toronto, CA - Hybrid, 1 day a week on site
About The Team
Join a dynamic software engineering team specializing in Big Data and AI on the Cloud at Kinaxis. We partner closely with Data Engineers and Data Scientists to create next-generation, scalable, and secure Big Data and AI solutions for global supply chains. Our focus is on transforming innovative concepts into robust, maintainable systems.
As part of the Kinaxis AI Platform (AIP) team, you'll be at the forefront of cloud-native big data and machine learning (ML) processing. We operate at the intersection of DataOps, MLOps, and Software Engineering, developing tools that empower our users to seamlessly manage big data and deploy ML applications globally
What you will do
- Prototype Development: Build and iterate on prototypes to clarify requirements and reduce technical ambiguity.
- Platform Foundation: Architect and enhance a robust platform supporting AI and data solutions across Kinaxis, aligning with our product vision and user needs.
- Architectural Innovation: Lead the evolution of our AI platform architecture, integrating customer feedback and leveraging your technical expertise.
- Agile Collaboration: Participate in agile processes, including pair programming, backlog refinement, and retrospectives to drive continuous improvement.
- Leadership: Lead development & QA efforts, ensuring high-quality deliverables and efficient defect resolution. This role includes guiding team and overseeing key processes rather than direct personnel management.
- Strategic Initiatives: Identify and address engineering challenges, leading initiatives that align with our strategic goals.
- Technical Communication: Articulate complex technical concepts and product knowledge to a broad range of stakeholders, from engineers to senior management
- Languages: Python, Scala, Java
- Big Data Tools: Apache Spark, Apache Hop
- Cloud Platforms: Azure, Google Cloud Platform (GCP)
- Infrastructure as Code & Automation: Terraform, Github Actions
- Containerization & Orchestration: Kubernetes
- Data Management: Databricks, Unity Catalog
Education: Bachelor’s or Master’s degree in Computer Science or a related field.
Experience: Over 10 years in software development, including 3+ years specializing in enterprise-grade Spark or big data applications, with hands-on experience managing production data systems.
Technical Skills: Expertise in designing, developing, and maintaining scalable software solutions using Python, Scala, and/or Java, with strong proficiency in big data processing, ETL pipelines, and data warehousing. We expect a deep understanding of both architectural principles and hands-on tool usage.
Quality Focus: Strong commitment to product quality and building maintainable software.
Communication: Excellent written, verbal, and interpersonal skills, with the ability to communicate complex technical concepts effectively to a variety of stakeholders.
Nice To Have
- Kubernetes & IaC: Experience with Kubernetes and infrastructure as code practices.
- AI/ML Platforms: Background in building platforms for AI/ML applications such as demand forecasting, supply chain analytics, or generative AI.
- Ops Practices: Familiarity with DataOps, MLOps, and DevOps methodologies.
- Advanced Data Management: Experience with Databricks, Snowflake, or similar platforms.
#Senior
# LI-DN1
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
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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