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Kinaxis was founded in 1984 in Ottawa, Ontario, Canada. It is a worldwide leader in the supply chain technology industry. Kinaxis’ RapidResponse platform is one of the quickest g
Platform Architect, Core Engine
Location
United States + 1 moreAll locations: United States | Canada
Posted
61 days ago
Salary
0
Seniority
Mid Level
Job Description
Platform Architect, Core Engine
Kinaxis
Role Description Kinaxis Maestro manages and predicts what is needed to effectively balance supply and demand for some of the world’s most complex supply chains. We are seeking a Software Platform Architect to lead the evolution of our Maestro platform to a cloud‑native architecture. As part of the Product R&D organization, you will define and drive the architectural foundations that enable massive scale, elastic performance, and cost‑efficient execution across Kinaxis’ next‑generation backend platform that underpins Maestro. This role is central to Kinaxis’ platform modernization — re‑architecting core data, query, and execution capabilities to operate natively in the cloud while preserving the performance, reliability, and customer trust that define our platform. What you will do - Operate comfortably across the full architecture lifecycle - from conceptual design and deep technical exploration to hands‑on implementation and production hardening. - Design and evolve highly scalable, distributed, cloud‑native architectures that power core platform capabilities. - Contribute to the architectural direction for the backend platform, shaping how large‑scale data processing, query execution, and platform services are built and evolved. - Act as a technical authority across Product R&D, influencing architectural decisions that span cloud infrastructure, core platform services, and data systems. - Mentor senior engineers, elevate architectural rigor across teams, and foster a culture where architects are deeply accountable for the systems they design. - Write code, validate assumptions through prototypes, and work closely with engineering teams to ensure designs translate into reliable, scalable implementations. - Explain complex architectural concepts to engineers, product leaders, and executives alike. - Bring structure to ambiguity and guide teams toward solutions that align technical excellence with business outcomes. Qualifications - Advanced education in Computer Science, Engineering, or a related field. - Deep, demonstrated experience building large‑scale, distributed cloud systems. - Extensive experience designing and building large‑scale, distributed systems in production environments. - Strong background in data‑intensive systems, such as distributed data processing, distributed databases, query engines, or platform‑level data services. - Deep expertise in cloud‑native architectures, including scalability, elasticity, fault tolerance, and cost‑aware design. - Proven ability to translate complex technical challenges into clear architectural designs that can be implemented and evolved over time. - Ability to work with ambiguous requirements and translate them into clear, robust, well-communicated architectural designs. - Hands‑on experience with modern cloud platforms (e.g., AWS, Azure, or GCP) and their core infrastructure services. - Proficiency in modern programming languages (Go) and/or other high‑performance backend languages (C++). - Solid understanding of system performance, concurrency, consistency models, and operational trade‑offs in distributed environments. - Demonstrated ability to influence technical direction across multiple teams and operate effectively as a senior technical leader. - Excellent communication skills, with the ability to articulate complex system designs to diverse audiences. Nice to Have - Experience modernizing or re‑platforming legacy systems into cloud‑native architectures. - Familiarity with high‑performance query engines or in‑memory data systems. - Experience designing platforms that support AI, agentic systems, or advanced analytics at scale. - Exposure to Data Fabric, semantic layers, or extensible platform architectures. - Track record of technical leadership through internal platforms, publications, patents, or open‑source contributions. Benefits - 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.
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