Software Architect, Core Engine

🔥 0 minutes ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kinaxis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $33M Venture Round on 2000-05

Consulting • Healthcare • Manufacturing

Kinaxis is a leading provider of supply chain orchestration solutions, specializing in AI-infused supply chain planning and management. Their flagship platform, Maestro, enables organizations to master complexity and optimize decision-making processes across the entire supply chain. By integrating advanced analytics with real-time data visibility, Kinaxis helps businesses improve operational efficiency, predict demand, and respond proactively to disruptions.

📋 Description

• Lead the evolution of the Kinaxis Maestro platform to a cloud-native architecture • Define and drive architectural foundations for massive scale, elastic performance, and cost-efficient execution • Design and evolve highly scalable, distributed, cloud-native architectures for core platform capabilities • Shape architectural direction for backend data processing, query execution, and platform services • Set standards for cloud-native design and guide distributed-systems architecture decisions • Ensure architectures are extensible and production-ready • Act as a technical authority across Product R&D and influence decisions spanning cloud infrastructure, core platform services, and data systems • Mentor senior engineers and elevate architectural rigor across teams • Write code, build prototypes, validate assumptions, and support reliable, scalable implementations • Collaborate with engineers, product leaders, and executives to communicate complex architectural concepts • Guide teams toward technically excellent solutions aligned with business outcomes • Support platform modernization by re-architecting core data, query, and execution capabilities for cloud operation

🎯 Requirements

• Advanced education in Computer Science, Engineering, or a related field • Deep, demonstrated experience building large-scale, distributed cloud systems • Extensive experience designing, implementing, and evolving database, storage, indexing, query execution, caching, consistency, replication, or metadata-management capabilities in large-scale distributed production systems • Extensive experience designing and building large-scale distributed systems in production environments • Strong background in distributed data processing, distributed databases, query engines, or platform-level data services • Deep expertise in cloud-native architectures, scalability, elasticity, fault tolerance, and cost-aware design • Ability to translate complex technical challenges into clear architectural designs • Ability to work with ambiguous requirements and communicate robust architectural designs aligned with stakeholder expectations • Hands-on experience with AWS, Azure, or GCP and core infrastructure services • Proficiency in Go and/or other high-performance backend languages such as C++ • Understanding of system performance, concurrency, consistency models, and operational trade-offs in distributed environments • Ability to influence technical direction across multiple teams as a senior technical leader • Excellent communication skills • Ability to accelerate the SDLC through innovative application of AI or other tooling while maintaining architecture consistency, secure design, and code quality • Ability to rigorously review AI-generated code for correctness, architectural fit, integration risk, and edge-case support • Nice to have: experience designing platforms supporting AI, agentic systems, or advanced analytics at scale • Nice to have: exposure to Data Fabric, semantic layers, or extensible platform architectures • Nice to have: 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 • Accessibility accommodations throughout the recruitment process