Solution Architect in Toronto

Solution Architect in Toronto

Toronto Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and deliver innovative solutions on the Shakudo platform for data and AI challenges.
  • Company: Join Shakudo, a pioneering tech company revolutionizing data and AI infrastructure.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Dynamic team environment that values innovation and diversity.
  • Why this job: Be at the forefront of technology, making a real impact in the data and AI space.
  • Qualifications: 4-8 years in solution engineering with strong Kubernetes and cloud experience.

The predicted salary is between 135000 - 165000 $ per year.

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.
  • Contribute to internal knowledge bases, solution patterns, and best practices that accelerate delivery across the team.

Qualifications

  • 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.

A Plus

  • 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.).

Why Shakudo Stands Out

  • Work with cutting‑edge technologies in machine learning and high‑performance computing.
  • Contribute to a platform that transforms how organizations leverage data and AI.
  • Join a dynamic team that values innovation, efficiency, and diversity.

Shakudo is an equal opportunity employer and encourages candidates of all backgrounds to apply. We foster diversity and inclusivity and welcome applications from a broad range of backgrounds and experiences.

Solution Architect in Toronto employer: Shakudo

At Shakudo, we pride ourselves on being an exceptional employer by fostering a dynamic work culture that values innovation, efficiency, and diversity. As a Solution Architect, you'll have the opportunity to work with cutting-edge technologies in machine learning and high-performance computing while contributing to a transformative platform that empowers organizations to leverage data and AI effectively. We are committed to employee growth, offering a collaborative environment where your technical expertise and relationship-building skills can thrive, ensuring meaningful and rewarding employment.

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Contact Details:

Shakudo Recruitment Team

We think you need these skills to ace Solution Architect in Toronto

Solution Architecture
Kubernetes
Helm Charts
Cloud Platforms (AWS, GCP, Azure)
CI/CD Pipelines
Infrastructure as Code
Python