Senior Software Engineer, AI & Enterprise Data Fabric

#Intermediate, #Senior

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.

Requirements

• Strong software engineering background with experience building distributed systems, platform services, APIs, and production-grade frameworks.
• Hands-on experience with Databricks and/or modern cloud data platforms, preferably across GCP and Azure .
• Deep understanding of LLM integration patterns, agent orchestration, tool use, structured generation, retrieval, evaluation, and guardrails.
• Practical knowledge of Data Fabric concepts, metadata, lineage, governance, semantic models, and enterprise data access patterns.
• Experience designing secure multi-tenant systems with strong isolation across data, compute, identity, and runtime execution.
• A pragmatic builder mindset: able to set architectural direction, write code, prove patterns, and turn prototypes into durable platform capabilities.