Technology Architect

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. 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. Other Canadian or USA locations
- Remote We are seeking a Software Platform Architect to lead the evolution of our Maestro platform toa 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. You operate comfortably across the full architecture lifecycle
- from conceptual design and deep technical exploration to hands‑on implementation and production hardening. You are driven by complex systems problems and understand how to balance performance, scalability, cost, and operational resilience in real‑world cloud environments. You will design and evolve highly scalable, distributed, cloud‑native architectures that power core platform capabilities. You think naturally in terms of data flow, consistency models, latency trade‑offs, fault tolerance, and system boundaries, and you continuously push for simpler, more robust, and more performant designs. You will contribute to the architectural direction for the backend platform, shaping how large‑scale data processing, query execution, and platform services are built and evolved. This includes setting standards for cloud‑native design, guiding decisions around distributed systems patterns, and ensuring architectures are both extensible and production‑ready. You will act as a technical authority across Product R&D, influencing architectural decisions that span cloud infrastructure, core platform services, and data systems. You will mentor senior engineers, elevate architectural rigor across teams, and foster a culture where architects are deeply accountable for the systems they design. You write code, validate assumptions through prototypes, and work closely with engineering teams to ensure designs translate into reliable, scalable implementations. You are a strong collaborator and communicator, able to explain complex architectural concepts to engineers, product leaders, and executives alike. You bring structure to ambiguity and guide teams toward solutions that align technical excellence with business outcomes. Advanced education in Computer Science, Engineering, or a related field. Deep, demonstrated experience building large‑scale, distributed cloud systems is required Extensive experience designing and building large‑scale, distributed systems in production environments. Strong background in data‑intensive systems, such as distributed data processing, distributed data bases, 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 that are aligned with stakeholders expectations. 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. Ability to find opportunities to accelerate the SDLC through innovative application of AI or other tooling, while upholding architecture consistency, secure design, and code‑quality standards. Ability to review AI-generated code rigorously for correctness, architectural fit, integration risk, and edge case