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About the role
- Software Platform Architect leading the evolution of Kinaxis' Maestro platform to a cloud-native architecture. Driving architectural foundations for large-scale, cloud-native backend systems.
Responsibilities
- 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.
Requirements
- 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.
- 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.
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
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