Cloud Platform Engineer

About ProCogia: 

ProCogia is a data and AI consulting firm helping organizations turn complex technology challenges into measurable business outcomes. We work across highly regulated and high-stakes industries, including telecommunications, financial services, life sciences, healthcare, and the public sector, where security, governance, reliability, and performance are critical. Our teams bring together expertise across data science, engineering, AI, analytics, and consulting to design and deliver practical, production-ready solutions. We are actively advancing capabilities across generative AI, agentic systems, workflow automation, AI governance, and enterprise AI applications. At ProCogia, you will work alongside experienced practitioners on meaningful technical challenges and contribute directly to both client solutions and the platforms and products we are building internally.

Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership

Location: Vancouver (On-site), This is a full-time, in-person position, 40 hours per week (Monday to Friday)

Job Summary 

ProCogia is looking for a Senior Cloud Platform Engineer with strong hands-on DevOps and cloud engineering experience who can design, build, operate, and improve modern enterprise platforms. This is not a pure operations role. You will work across cloud infrastructure, Linux, containers, Infrastructure as Code, CI/CD, observability, security, troubleshooting, and platform architecture. You will support enterprise client environments, ProCogia products, analytics platforms, and emerging AI infrastructure. We value strong engineering fundamentals, systems thinking, curiosity, and the ability to quickly learn and take ownership of unfamiliar technologies.

Key Responsibilities 

• Design, build, and operate secure, scalable, reliable cloud environments, primarily on AWS, with exposure to Azure and other enterprise platforms.
• 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.