Senior Cloud Platform Engineer, DevOps

Job summary

The Senior Cloud Platform Engineer role involves designing, building, and operating modern enterprise platforms with a focus on DevOps and cloud engineering. Key responsibilities include managing AWS environments, utilizing Terraform for Infrastructure as Code, and implementing CI/CD pipelines, while also supporting enterprise analytics platforms and emerging AI infrastructure.

Qualifications

• 5+ years in DevOps, Cloud Engineering, Platform Engineering, SRE, Infrastructure Engineering, or a related field.
• Strong production experience with AWS, Linux, Terraform/IaC, Docker, Kubernetes, and CI/CD.
• Strong scripting or programming skills in Python, Bash, PowerShell, Go, or similar.
• Experience with cloud networking, IAM, security, monitoring, observability, incident management, and troubleshooting.
• Experience designing reliable, scalable production environments.
• Strong systems thinking and ability to contribute to platform and infrastructure architecture.
• Strong communication, ownership, and client-facing skills.
• Ability to quickly learn unfamiliar enterprise technologies.
• Ability to work five days per week from the Vancouver office.

Responsibilities

• Design, build, and operate secure, scalable, reliable cloud environments, primarily on AWS.
• Contribute to cloud and platform architecture across availability, scalability, security, disaster recovery, performance, and cost optimization.
• Build and maintain infrastructure using Terraform and Infrastructure as Code.
• Design and improve CI/CD pipelines, deployment automation, and operational workflows.
• Build and operate containerized environments using Docker, Kubernetes, and Helm.
• Administer and troubleshoot Linux systems, networking, IAM, authentication, certificates, secrets, and access controls.
• Implement monitoring, logging, alerting, dashboards, and reliability practices.
• Lead or support production troubleshooting, incident response, root-cause analysis, and long-term remediation.
• Support cloud migrations, platform upgrades, infrastructure modernization, and reusable platform patterns.
• Support enterprise analytics platforms such as Posit and work with engineering teams on MLOps, generative AI, GPU, and emerging AI infrastructure.
• Work directly with clients to translate requirements into architectures, implementation plans, estimates, and technical solutions.
• Contribute to architecture reviews, engineering standards, technical proposals, and team knowledge sharing.

Skills

Relocation