Canvas is at the forefront of revolutionizing the remodeling, architecture and interior design industry through cutting-edge AI and computer vision technology. With our LiDAR-enabled iPhone or iPad scans, we capture precise 3D representations of homes in minutes, providing interactive models with accurate-to-the-inch measurements. Our proprietary process then turns these scans into highly detailed, editable, as-built files in industry-standard formats. Our technology was featured in Apple’s keynote when the iPhone’s LiDAR sensor was introduced and now we model millions of square feet each month.
We’re an early-stage startup that is growing and ready to accelerate even further. As a global virtual-first company, our team members are distributed worldwide, with a concentration in the US and Europe.
We are looking for an experienced Infrastructure Engineer to help us scale, secure, and maintain the systems that power our business. Reporting to the Platform Team Lead, this role will involve working across our platform infrastructure with a focus on system reliability, observability, performance, and security. You’ll collaborate closely with various engineering teams and other functions in the company, to ensure our services are performant and resilient as we continue to grow.
Responsibilities:
- Monitor, maintain, and improve our infrastructure across various environments and services.
- Ensure reliability and uptime of our systems by developing robust observability and alerting practices.
- Lead Linux system administration and hardening efforts to enhance security posture.
- Manage and improve cloud infrastructure (AWS-focused), including compute, storage, and networking.
- Own and enhance our CI/CD systems and deployment automation (GitLab CI/CD).
- Implement and maintain infrastructure-as-code using tools like Terraform and Ansible.
- Participate in incident response and postmortems, ensuring learnings are translated into action.
- Provide technical support and ongoing maintenance for infrastructure-related projects and initiatives.
- Stay ahead of emerging security risks and proactively identify opportunities to improve our infrastructure security.
- Collaborate cross-functionally with engineering teams to support their infrastructure needs and deployments.
Qualifications:
- It’s a joy to communicate with you in both written and spoken English.
- You have excellent knowledge of Linux, including performance tuning and security hardening.
- You are experienced with cloud platforms (especially AWS) and their associated best practices.
- You have strong knowledge of modern information security principles and how to apply them effectively.
- You are comfortable working with multiple monitoring and observability tools, both cloud solutions and on-prem (e.g.: Prometheus and Grafana, NewRelic, Datadog, Etc)
- You have experience writing infrastructure automation using tools such as Ansible and Terraform.
- You are proficient with Git and have experience working with GitLab CI/CD pipelines.
- You have a good understanding of container technologies and orchestration, including Docker and Kubernetes.
- You can write or maintain automation scripts and tooling in Python.
Any of these qualifications will make you stand out:
- Experience setting up Machine Learning operations.
- Experience working with Datadog, Prometheus, Grafana, or similar observability stacks.
- Experience with relational databases such as PostgreSQL.
- Familiarity with managing production-grade Kubernetes clusters.
- A passion for clean documentation and systems architecture clarity.
- Experience supporting compliance and security audits through infrastructure best practices.