This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are seeking a highly skilled and strategic DevOps Engineer for a high-impact contract opportunity based in Vancouver. In this role, you will act as a primary driver for automation, guiding an enterprise engineering environment away from legacy, manual processes toward a modern, automated infrastructure. As a senior technical individual contributor, you will evaluate existing workflows, bridge gaps in cloud scalability, and architect robust continuous integration and deployment pipelines. Operating within a cross-functional model, you will share modern best practices with development, QA, and product teams to optimize platform reliability, system uptime, and developer self-service capabilities.
Job Responsibility
Drive the transition toward fully automated infrastructure by evaluating architecture bottlenecks and implementing scalable Infrastructure as Code (IaC) architectures
Design, implement, and manage secure deployment pipelines to enable fast, reliable, and repeatable application releases across multiple active environments
Architect and manage scalable, fault-tolerant, and cost-optimized cloud infrastructure primarily utilizing AWS services
Support the platform migration from Splunk to Datadog, establishing proactive monitoring frameworks, dashboards, alerting rules, and system reliability thresholds
Lead the troubleshooting of complex production issues, coordinate root-cause analysis, and implement long-term engineering fixes to eliminate operational toil
Incorporate security best practices, access controls, secrets management, and enterprise governance standards into automated delivery pipelines
Partner with software development, quality assurance, and product management teams to communicate technical progress, share best practices, and deliver unified infrastructure goals
Requirements
10+ years of progressive experience in DevOps, systems engineering, or infrastructure-focused roles, ideally with a background in mid-tier to large enterprise environments
Senior-level expertise in cloud platforms, with a strong focus on AWS architecture and organization
Deep understanding of IaC principles and hands-on scripting experience utilizing PowerShell, Terraform, or CloudFormation
Solid technical understanding of containerized environments, preferably utilizing Kubernetes
Mastery of continuous integration and continuous deployment tools (such as GitLab CI, Jenkins, or GitHub) alongside GitOps CD tools like ArgoCD
Demonstrated experience working with system monitoring and observability suites, specifically managing platforms like Splunk and Datadog
Adaptability
Exceptional flexibility and a resilient mindset
comfortable pivoting quickly alongside evolving project requirements and new technical directions
Outstanding articulation skills with the ability to explain complex technical challenges and system progress clearly to cross-functional partners
A natural curiosity for exploring emerging technologies, with a strong interest in identifying opportunities to apply AI-driven solutions to automation and delivery pipelines
Bachelor’s degree in Computer Science, Engineering, or an equivalent technical discipline