出海雷达

Software Architect, Core Engine

开发工程限定地区(需当地身份)
公司Kinaxis
薪资未公开
工作地点Canada
地域资格限定地区(需当地身份)
时区要求日间重叠约 6 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 Canada 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
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关于 Kinaxis 你想加入一个创新,市场领先的公司,在那里你真正可以提高你的职业生涯吗?在 Kinaxis 我们认真对待文化,我们认真看待技术,我们认真的对待客户,我们认 serious 不过于认真。如果你想要成为一个令人难以置信的增长故事的一部分,那么我们可能是适合你的地方!1984年,我们作为三名工程师的一个团队开始了。今天,我们已经发展成全球组织,拥有超过2000名员工在世界各地,6个全球办事处和加拿大奥塔瓦的一家最优秀的总部。作为全球多项顶级雇主奖获得者,我们为与客户和员工合作解决当今供应链面临的最大挑战感到自豪。基纳克西斯是现代供应链编排领域的全球领导者,提供了复杂的全球供应链的动力,并支持管理它们的人民。我们的强大的人工智能注入平台在端到端的供应链中提供了全面的透明度和可见性,使我们的客户能够更快速地做出更好的决定。知名的全球品牌信任我们,以提供需要的灵活性和可预测性来导航当前波动性和破坏性。随着我们在100多个国家拥有超过4万用户,我们正在扩大我们的团队,因为我们继续创新和彻底改变支持客户的方式。位置加拿大或美国 · 奥塔瓦和多伦多,加拿大 - 混合物种 · 加拿大和其他地点 - 远程关于 Kinaxis Maestro 管理的角色以及预测对世界一些最复杂的供应链的需求与供应有效平衡所需的内容。我们寻求一个软件平台架构师来领导 Maestro 平台的演变,例如云原始建筑,具有设计数据库引擎,存储引擎,分布式数据库,查询执行系统或其他大型数据基础设施平台的经验。作为产品研发组织的一部分,你将定义和推动可实现大规模,弹性性能和成本效益高的架构基础在基纳克西斯下一代后端平台中。这是基纳克思平台现代化的核心角色。

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About Kinaxis

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. If you are looking to be part of an incredible growth story, then we might just be the place for you!
In 1984, we started out as a team of three engineers. 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.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. 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.
Location
Canada or USA

  • Ottawa and Toronto, Canada - Hybrid
  • Other Canadian or USA locations - Remote

About the role
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 toa cloud‑native architecture with experience designing database engines, storage engines, distributed databases, query execution systems, or other large-scale data infrastructure platforms.
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.
Vacancy Status
This is an existing job vacancy
What you will do
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 are a pragmatic, hands‑on architect. You write code, validate assumptions through prototypes, and work closely with engineering teams to ensure designs translate into reliable, scalable implementations. You value clarity, simplicity, and execution over theoretical perfection.
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.
What we are looking for

  • Advanced education in Computer Science, Engineering, or a related field. Deep, demonstrated experience building large‑scale, distributed cloud systems is required
  • We are implementing our own distributed database and query engine, specifically for supply chain data and use cases. We are looking for extensive experience designing, implementing and evolving core 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 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.
  • 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.
  • 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 support with a growth mindset and bias for experimentation.

Nice to Have

  • Experience designing platforms that support AI, agentic systems, or advanced analytics at scale.
  • Exposure to Data Fabric, semantic layers, or extensible platform architectures.
  • Hands‑on experience with modern cloud platforms (e.g., AWS, Azure, or GCP) and their core infrastructure services.
  • Track record of technical leadership through internal platforms, publications, patents, or open‑source contributions.

#Senior;
Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.
Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco and more.
Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.
People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:

  • 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

For more information, visit the Kinaxis website at www.kinaxis.com or the company’s blog at
Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at . This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.
Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.
Originally posted on Himalayas

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