Senior Cloud Platform Engineer, DevOps

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.

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.

What You Bring

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.

This is a fully on-site position, and you will be required to work from the Vancouver office on all five days (Monday through Friday).

Preferred Experience: Experience in one or more of the following is an asset:

Azure or AWS GovCloud

Helm, CloudFormation/CDK, Ansible, or Puppet

Xacta, NIST RMF, FedRAMP, GxP, or other regulated environments

Posit, Databricks, or enterprise data platforms

Cloud migrations and infrastructure modernization

MLOps, generative AI, GPU, or AI infrastructure

Compensation Range - CAD $100,000–$115,000 annually, plus benefits .

Why ProCogia

At ProCogia, you will work at the intersection of cloud, data, AI, and enterprise technology. You will solve real problems across commercial and regulated environments, work directly with clients, and take meaningful ownership from infrastructure design through production. You will also help shape the platform foundation supporting ProCogia’s growing AI capabilities, giving you exposure to technologies and challenges that extend well beyond traditional DevOps. This is an environment where strong engineers can build, learn, take ownership, and make a visible impact.

ProCogia is proud to be an equal-opportunity employer. We are committed to creating a diverse and inclusive workspace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.