Solutions Architect
- Compensation
- Not disclosed
- Location
- Toronto, ON
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Architecture
- Posted
Skills
Must have
- 4–8 years of experience in solution engineering, solution architecture, or a senior engineering role with significant client-facing responsibility
- Strong Kubernetes and Helm Chart development and deployment experience
- Experience with cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, and infrastructure as code
- Backend and frontend experience (e.g., Python, React, TypeScript) — enough to be hands-on when needed
- Demonstrated ability to manage client relationships, solve complex technical problems under pressure, and drive account growth
- Excellent communication skills — you can explain deep technical concepts to non-technical stakeholders and translate business requirements into architecture
- A hands-on, solutions-first mindset and a passion for fast, high-quality delivery
Nice to have
- Experience in data engineering, MLOps, or AI infrastructure
- Prior experience in a Solutions Architect or Solutions Engineer role at a B2B infrastructure or platform company
- Familiarity with the open-source data and AI ecosystem (dbt, Airflow, MLflow, etc.)
Full description
At Shakudo, we're building the world's first operating system for data and AI. We use the term "operating system" in the truest sense: just like iOS, Windows, or Linux, Shakudo's end-to-end OS provides ever-evolving, fully automated, best-in-class open-source components tailored to each business's unique needs.
We are seeking a Solution Architect to join our Stack team and serve as the technical anchor for our customers — understanding their data and AI infrastructure challenges, architecting solutions on the Shakudo platform, and driving ongoing account growth. This is a hands-on, client-facing role for someone who bridges deep technical expertise with strong relationship skills and can move between Kubernetes, Helm, and cloud infrastructure and strategic customer conversations.
In this role, you will own the technical relationship with assigned accounts: architecting production-ready solutions, integrating the Shakudo platform into customer environments, and expanding Shakudo's footprint by connecting customer needs to platform capabilities. This is not a pure pre-sales or post-sales role — it is an outcome-driven engineering and advisory role where success is measured by customer adoption, solution quality, and account growth.
Responsibilities
- Design and deliver end-to-end technical solutions on the Shakudo platform that address real-world data and AI challenges for enterprise customers
- Integrate open-source and proprietary components seamlessly with the Shakudo platform using Kubernetes, Helm Charts, and infrastructure-as-code
- Build elegant, production-ready solutions — not just proof-of-concepts — that customers rely on in production
- Contribute to architectural decisions and establish design patterns for platform development with high autonomy
- Serve as the trusted technical advisor for assigned accounts — understand their infrastructure, roadmap, and pain points deeply
- Diagnose and resolve complex technical issues customers face in their data and AI stack, from Kubernetes orchestration to pipeline performance
- Identify opportunities to expand Shakudo's footprint within existing accounts by connecting customer needs to platform capabilities
- Navigate customer organizations effectively — from individual contributors to engineering leaders and C-suite decision-makers
- Champion customer needs internally, influencing product direction and Stack team priorities
- Partner with Product and Engineering teams to translate customer requirements into scalable, robust systems
- Collaborate with Customer Engineering to ensure smooth hand-offs and consistent solution quality