Full-Time
Shakudo
11-50 employees
End-to-end platform for AI projects
No salary listed
Mid, Senior, Expert
Toronto, ON, Canada
- 3+ years of experience in a DevOps role with a focus on automation, Kubernetes, and infrastructure management.
- 3+ years of experience in managing and deploying cloud services with tools like Kubernetes and Terraform.
- Familiarity with the following stack: Kubernetes, Terraform, Helm, Python, CUDA, Go, AWS, GCP, Azure, PostgreSQL, Typescript.
- Bachelor's degree in Computer Science or Engineering.
- Strong problem-solving skills with the ability to adapt to new technologies quickly.
- Excellent communication, presentation, and technical writing skills.
- Experience in creating documentation and content for technical audiences.
- Ability to work independently and as part of a team.
- Operate, evolve and maintain Shakudo deployments across our customer base using SOTA Kubernetes tooling.
- Operate and be the centre of knowledge for cloud managed services that interface with the Shakudo Kubernetes clusters.
- Execute and manage deployments, product update rollouts, and maintenance in collaboration with the engineering team.
- Monitor and troubleshoot software and system issues in the production environment, identifying opportunities for infrastructure improvement.
- Operate GPU servers and cloud node pools ensuring consistent operation with minimal downtime.
- Prepare and deliver technical demonstrations and presentations to internal teams, showcasing the effectiveness of our DevOps practices.
- Create and maintain technical documentation, tutorials, and demos to educate our team on DevOps practices and related technologies.
- Write engaging blog posts and social media content that highlights our platform capabilities and fosters engagement with the right audience.
- Stay updated with industry trends and advancements in DevOps, cloud computing, and data tooling.
Shakudo offers an end-to-end platform for developing and managing AI and data-intensive products. Their main product, the Hyperplane platform, helps AI teams streamline their workflow from the initial idea to the final deployment of AI models. Hyperplane automates the process of resource optimization, making it easier for organizations to configure their AI projects without getting bogged down in technical details. Shakudo differentiates itself from competitors by providing a subscription-based service with tiered pricing plans that cater to various organizational needs, along with user-friendly GraphQL APIs for smooth integration with existing systems. The goal of Shakudo is to simplify the AI development process, enabling organizations to implement their AI solutions more quickly and effectively.
Company Size
11-50
Company Stage
Series A
Total Funding
$10.1M
Headquarters
Toronto, Canada
Founded
2021
Simplify's Take
What believers are saying
- Increased demand for AI model interpretability tools aligns with Shakudo's platform capabilities.
- The rise of AI model monitoring solutions presents enhancement opportunities for Shakudo.
- Growing interest in federated learning can attract privacy-conscious clients to Shakudo.
What critics are saying
- Increased competition from established AI platforms like DataRobot and H2O.ai.
- Challenges in maintaining data privacy with evolving regulations like GDPR and CCPA.
- Economic downturns could impact Shakudo's subscription-based revenue model.
What makes Shakudo unique
- Shakudo simplifies AI deployment with its Hyperplane platform, streamlining AI project workflows.
- The platform automates resource optimization, reducing complexities in cluster configurations.
- Shakudo offers DevOps-friendly GraphQL APIs for seamless AI solution interaction.
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Benefits
Professional Development Budget
Growth & Insights and Company News
6 month growth
↓ -11%1 year growth
↓ -3%2 year growth
↓ -5%Toronto-based Shakudo has secured $9.5 million CAD in Series A funding to help companies launch artificial intelligence products more quickly and cost-effectively.
Toronto-based software startup Shakudo has rebranded from DevSentient and raised $4.2 million CAD ($3.4 million USD) in seed funding to expand the reach of its artificial intelligence (AI) platform for data science and machine learning (ML) teams.