Software Architect, Core Engine

🕒 Agosto 19

🌐 Canadá, Estados Unidos – Remoto

🇨🇦 Canadá – Remoto 🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 24%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Por que essa pontuação:

• Aberta há 85 dias.
• As vagas desta empresa costumam ser preenchidas em 39 dias.
• Sem salário divulgado.

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Kinaxis

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

💼 Consultoria

🏥 Saúde

🏭 Manufatura

💰 $33.000.000 Venture Round em 2000-05

Consulting • Healthcare • Manufacturing

Kinaxis é líder global em gestão moderna da cadeia de suprimentos. Atendemos cadeias de suprimentos e as pessoas que as gerenciam em prol da humanidade. Nosso software é confiado por marcas globais renomadas para fornecer a agilidade e previsibilidade necessárias para navegar na volatilidade e disrupção atuais. Combinamos nossa técnica de concorrência patenteada com uma abordagem centrada no humano para IA, capacitando empresas de todos os tamanhos a orquestrarem sua rede de cadeia de suprimentos de ponta a ponta, desde o planejamento estratégico de longo prazo até a execução em tempo real e entrega na última milha.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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