Software Architect \u2013 Enterprise Private Cloud Infrastructure & AI s

Position: Software Architect \u2013 Enterprise Private Cloud Infrastructure & AI Workloads
Overview  Position at Wind River
Software Architect – Enterprise Private Cloud Infrastructure & AI Workloads

Job Location:

Ottawa, ON
About Wind River  Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability.
Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company’s software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers.

We’ve achieved recent 5G milestones including the world’s first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone.
The company has received industry recognition for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a “Top Workplace” for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world.
Opportunity  Wind River is a leader in delivering mission-critical, distributed cloud infrastructure that powers some of the world’s most demanding environments. We are expanding our footprint into the enterprise private cloud market, enabling our customers to run both standard compute and AI-intensive workloads on secure, scalable, and highly automated infrastructure.
Our Wind River Private Cloud portfolio includes the Kubernetes Container Platform, Open Stack, Analytics, and Automation solutions—engineered for high performance, reliability, and enterprise-grade security.
What You’ll Do  As the Software Architect, you will:
Own the architectural vision for Wind River’s enterprise private cloud offerings, ensuring they meet the performance, scalability, security, and compliance requirements of enterprise customers.
Drive end-to-end architectural design across the Kubernetes Container Platform, Open Stack, Analytics, and Automation frameworks, with integration pathways for AI/ML workloads.
Collaborate with product management, engineering teams, and customer architects to align platform capabilities with enterprise needs and market trends.
Define and document architecture patterns, reference designs, and technology roadmaps for enterprise deployments, including hybrid cloud and edge integration.
Evaluate and recommend emerging open-source technologies, frameworks, and standards, balancing functional, architectural, and operational trade-offs.
Provide technical leadership in proof-of-concept and pilot programs for AI and high-performance workloads, ensuring optimal use of GPUs, FPGAs, and other accelerators.
Partner with the security architecture team to embed security-by-design principles across all components.
Act as a mentor and technical authority for development teams, fostering a high-performance engineering culture.
Required Skills & Experience   10+ years of experience in software architecture and product development, with at least 5 years in cloud infrastructure solutions for enterprise markets.
Deep knowledge of enterprise infrastructure requirements: security, compliance, scalability, performance optimization, high availability, and disaster recovery.
Proven expertise in Kubernetes, Open Stack, and enterprise-grade automation frameworks (e.g., Ansible, Terraform, Argo CD).

Experience with observability and analytics platforms (e.g., Prometheus, Grafana, Open Telemetry, Elastic Stack, Open Search).
Solid understanding of AI/ML workload orchestration in cloud environments, including GPU scheduling, data pipeline management, and inference serving.
Familiarity with cloud-native…