Software Architect, Core Engine

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🌐 Canada, États-Unis – Distant

🇨🇦 Canada – Télétravail 🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 24%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Kinaxis

Site WebLinkedInTous les Emplois

1001 - 5000 employés

💼 Conseil

🏥 Santé

🏭 Fabrication

💰 €33 000 000 Venture Round en 2000-05

Consulting • Healthcare • Manufacturing

Kinaxis est un fournisseur de premier plan de solutions d'orchestration de chaîne logistique, spécialisé dans la planification et la gestion de chaîne logistique enrichies par l'intelligence artificielle. Leur plateforme phare, Maestro, permet aux organisations de maîtriser la complexité et d'optimiser les processus décisionnels sur l'ensemble de la chaîne logistique. En intégrant des analyses avancées à une visibilité des données en temps réel, Kinaxis aide les entreprises à améliorer leur efficacité opérationnelle, prédire la demande, et réagir de manière proactive aux perturbations.

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

🎯 Exigences

• 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

🏖️ Avantages

• 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