Job Specifications
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Senior DevOps - Engineer
Engineering
Full-Time
USA & Canada
A leader in enterprise AI solutions.
Canvass AI is leading a new generation of enterprise transformation. Founded with the mission of making AI accessible and valuable to businesses across industries, today the company’s human-centric generative AI, and patented software platform enables enterprises to harness the power of AI. Designed to be readily accessible and quick to deploy, enterprises use Canvass’ advanced AI solutions for improved decision-making, process automation and innovation. Canvass’ partner ecosystem includes SambaNova, Microsoft, Snowflake, and OpenAI Labs. Backed by Yamaha Manufacturing, Alphabet’s Gradient Ventures and the Government of Canada, Canvass is recognized with awards and by industry analysts as an AI innovator.
We’re an agile scale-up with the operational intelligence of a global business. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.
Things you should know about our tech
Our platform is fully cloud native and can operate in our Azure-cloud or customer private clouds
We have an agent framework that leverages multiple LLMs to provide users with a natural language interface to better understand their data
Our applications are containerized using Docker and deployed in Kubernetes
We use Terraform to manage and deploy our clusters
We use CircleCI to continuously integrate and deploy changes
Our microservices architecture and tooling are developed in Python and our Front end uses Typescript
We’ve built data pipelines with Kafka and use Kubeflow to orchestrate our machine learning jobs
We use Datadog to surface our infrastructure metrics via dashboards
What you will do
Responsibilities
Reporting to the Head of Engineering, you'll have full ownership of the resources that power our AI platform as well as the DevOps tooling that makes it easy for development teams to bring their code into production. Your responsibilities as our Senior DevOps Engineer will be to:
Manage cloud infrastructure, which includes computing, storage, network and security.
Deploy and manage Kubernetes clusters.
Manage CI/CD Pipelines.
Help customers with infrastructure setup to allow streaming data to our platform.
Ensure overall system uptime, scalability reliability and security.
Monitor and test application performance for potential bottlenecks, identify possible solutions, and work with developers to implement those fixes.
Document operation and troubleshooting of technology platforms and procedures.
Be able to solve problems independently. We are a fast-moving startup and expect everyone to be a self-starter who finds out what needs to be done, then goes out and does it.
Who We Need
We are looking for an experienced Senior DevOps Engineer to join our engineering team. The ideal candidate will have a background in cloud infrastructure and software engineering, employing DevOps tools to scale infrastructure and improve the engineering team’s productivity. We are looking for someone who enjoys working at the intersection of infrastructure and software, having built scripts and tools to automate everything you can.
We’re Looking For Candidates With
Track record of building and managing secure, scalable, cloud-based services in Azure, AWS, or GCP. Experience packaging SaaS products for private clouds is a plus.
Experience with encrypting data at rest and in transit
Experience with scaling applications when there’s sudden bursts of traffic
A passion for observability and automation. We have a multi-tenant setup. The ability to automate means we can serve new customers faster.
Proven experience with scaling applications in Kubernetes
Experience creating and managing Kubernetes clusters, using tools such as Helm and Terraform
Strong networking and Linux knowledge, including knowing what to look for when things go wrong
An understanding of microservice architecture and distributed system design
Experience with building out in-house or self-managed monitoring solutions with tools like Grafana
Proficiency with Python
At least 5 years professional experience in related technical roles (e.g. DevOps, cloud engineering, system administration)
What’s In It For You
You want to join a company that’s at the forefront of leading-edge technology and you
About the Company
Canvass AI is a provider of AI solutions for enterprise and public sector organizations around the world. Its foundation is built on bringing together the two most important assets for organizations: their intellectual property and data, to accelerate decision making, increase productivity, improve efficiency, and automate workflows. Canvass AI does this by developing easy-to-use AI solutions that are powered by the latest AI advancements, including Generative AI, AI Agents, Explainable AI, and Conversational AI, to extract ...
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