Shakudo Tech Stack

Operating system layer for composable data and AI stacks

Software Development Toronto, ON 11–50 employees Founded 2021 Privately Held

Shakudo builds an orchestration layer that sits between cloud infrastructure and best-of-breed data tools—Airflow, dbt, Spark, Snowflake, and others—to reduce fragmentation and operational overhead. The stack reveals a DevOps-first architecture (Kubernetes, Helm, Terraform, Docker), and project work centers on enterprise deployment automation and air-gapped environments, suggesting the company is solving for organizations with strict infrastructure constraints or compliance requirements.

Tech Stack 31 technologies

Core StackKubernetes Helm Terraform React TypeScript Apache Airflow dbt AWS Neo4j Ollama Apache Spark Python PostgreSQL Next.js Tailwind CSS HubSpot Slack MATLAB Docker MLflow Fivetran Snowflake GCP Azure shadcn/ui LinkedIn Sales Navigator Google Workspace R SQL Jupyter+1 more

What Shakudo Is Building

◆Challenges

Complex deployment environments
Air-gapped environments
Air-gapped data center deployments
Air-gapped data centers
Expanding go-to-market efforts
Scaling awareness
Real-world data and ai challenges

▲Active Projects

Enterprise-scale platform architectures
Advanced deployment automation
Complex customer integration systems
Full end-to-end applications on shakudo platform
Flagship applications demonstrating shakudo
Enterprise customer implementations end-to-end
Advanced devops automation with helm and terraform
Building kubernetes controllers
Core platform features
Production-level ai applications

Hiring Activity

Minimal10 roles · 1 in 30d

Department

Engineering

Sales

Seniority

Senior

Principal

C-Level

Junior

Notable leadership hires: Chief Technology Officer

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About Shakudo

Shakudo provides a data and AI operating system that abstracts infrastructure complexity away from data engineers and ML teams. Rather than forcing tool consolidation, the platform acts as a compatibility layer across Kubernetes, cloud providers (AWS, GCP, Azure), and popular data tools like Airflow, dbt, Spark, and Snowflake. The company is based in Toronto and currently operates at a small scale (11–50 employees) with a technical founding team; active projects reflect a focus on enterprise customer implementations, advanced DevOps automation, and production AI applications in air-gapped or restricted environments.

HeadquartersToronto, ON

Company Size11–50 employees

Founded2021

Hiring MarketsUnited States, Canada, India

Frequently Asked Questions

What tech stack does Shakudo use?

Shakudo's stack spans Kubernetes, Helm, Terraform, Docker, React, TypeScript, Next.js for the frontend; Apache Airflow, dbt, Apache Spark, Python for data orchestration; and AWS, GCP, Azure for cloud infrastructure.

Where is Shakudo headquartered and hiring?

Shakudo is based in Toronto, ON, Canada. Active roles span engineering and sales teams, with hiring open in the United States, Canada, and India.

What is Shakudo working on?

Current projects include enterprise deployment automation, Kubernetes controller development, air-gapped data center deployments, and production-level AI applications running on the Shakudo platform.