ProCogia Logo

ProCogia

Senior Cloud Platform Engineer, DevOps

Posted 3 Days Ago
Be an Early Applicant
Hybrid
Vancouver, BC, CAN
Senior level
Hybrid
Vancouver, BC, CAN
Senior level
Design, build, operate, and improve secure, scalable cloud platforms primarily on AWS. Responsibilities include Terraform-based infrastructure, CI/CD, Docker and Kubernetes environments, Linux administration, networking, IAM, observability, incident response, troubleshooting, cloud migrations, and platform architecture. The role also supports analytics and AI infrastructure, works directly with clients on technical solutions, and contributes to architecture reviews and engineering standards. The position is fully on-site in Vancouver.
The summary above was generated by AI

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. 

HQ

ProCogia Vancouver, British Columbia, CAN Office

Vancouver, Canada

Similar Jobs

3 Hours Ago
Hybrid
Richmond, BC, CAN
Mid level
Mid level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Translates business needs into software and analytics requirements, facilitates stakeholder workshops, performs exploratory data analysis, defines system specifications and acceptance criteria, supports user acceptance testing and releases, maintains product and system documentation, and provides user training. The role collaborates with product, technical, customer, and program teams while supporting defense and government portfolio applications.
Top Skills: APIsConfluenceDraw.IoJIRASAPVisio
3 Hours Ago
Hybrid
Richmond, BC, CAN
Mid level
Mid level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Designs, builds, and supports scalable data ingestion, processing, modeling, and quality-monitoring pipelines for aviation analytics and machine learning. Collaborates with engineers, data scientists, analysts, and business stakeholders to develop predictive solutions, data contracts, cloud-based tools, and model features. Responsibilities include data governance, access control, CI/CD, system monitoring, technical documentation, code reviews, and occasional backend, cloud deployment, and data science support.
Top Skills: AzureCi/CdCloud ComputingCloud-Deployed ApisCypherData PipelinesDatabricksDockerGraphQLLarge Language Models (Llm)MicroservicesNatural Language Processing (Nlp)Non-Relational DatabasesPythonRelational Databases
4 Hours Ago
Hybrid
Seymour Heights, North Vancouver, BC, CAN
Entry level
Entry level
Cloud • Fintech • Information Technology • Machine Learning • Software
Manages a distributed team of three data scientists while personally leading North American marketing measurement. Responsibilities include campaign and event measurement, churn analysis, funnel effectiveness, AI-driven insight generation, and agentic analytics. The role requires translating complex analysis into actionable recommendations, partnering with marketing teams, coaching across time zones, and establishing sustainable delivery practices.
Top Skills: Agentic AnalyticsAi-Driven AnalyticsBigQueryDashboardsData VisualizationGoogle AnalyticsGoogle Tag Manager (Gtm)MixpanelPythonSQL

What you need to know about the Vancouver Tech Scene

Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account