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.
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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.
Location: Vancouver, BC (Hybrid - 4 days/week in-office)
Contract Duration: 6 months (with a high likelihood of extension)
Advantages
High Likelihood of Extension: Kick off a solid initial 6-month contract with strong prospects for long-term project continuity.
Drive Significant Transformation: Own the foundational roadmap moving an enterprise ecosystem from manual processes to sophisticated GitOps and automation methodologies.
Modern Tooling & Cloud Stack: Work deeply with core enterprise technologies including AWS, Kubernetes, ArgoCD, and a modern migration from Splunk to Datadog.
Innovative & Adaptive Culture: Join a forward-thinking team environment that encourages technical curiosity, exploring AI acceleration tools, and continuous architectural refinement.
Responsibilities
Automation & Infrastructure Evolution: Drive the transition toward fully automated infrastructure by evaluating architecture bottlenecks and implementing scalable Infrastructure as Code (IaC) architectures.
CI/CD Pipeline Optimization: Design, implement, and manage secure deployment pipelines to enable fast, reliable, and repeatable application releases across multiple active environments.
Cloud & Platform Engineering: Architect and manage scalable, fault-tolerant, and cost-optimized cloud infrastructure primarily utilizing AWS services.
Observability & Reliability Engineering: Support the platform migration from Splunk to Datadog, establishing proactive monitoring frameworks, dashboards, alerting rules, and system reliability thresholds.
Production Support & Incident Management: Lead the troubleshooting of complex production issues, coordinate root-cause analysis, and implement long-term engineering fixes to eliminate operational toil.
DevSecOps Integration: Incorporate security best practices, access controls, secrets management, and enterprise governance standards into automated delivery pipelines.
Cross-Functional Collaboration: Partner with software development, quality assurance, and product management teams to communicate technical progress, share best practices, and deliver unified infrastructure goals.
Qualifications
Core Technical Requirements
Professional Experience: 10+ years of progressive experience in DevOps, systems engineering, or infrastructure-focused roles, ideally with a background in mid-tier to large enterprise environments.
Cloud Infrastructure: Senior-level expertise in cloud platforms, with a strong focus on AWS architecture and organization.
Infrastructure as Code (IaC): Deep understanding of IaC principles and hands-on scripting experience utilizing PowerShell, Terraform, or CloudFormation.
Containerization & Orchestration: Solid technical understanding of containerized environments, preferably utilizing Kubernetes.
CI/CD & GitOps Ecosystem: Mastery of continuous integration and continuous deployment tools (such as GitLab CI, Jenkins, or GitHub) alongside GitOps CD tools like ArgoCD.
Observability Tooling: Demonstrated experience working with system monitoring and observability suites, specifically managing platforms like Splunk and Datadog.
Soft Skills & Mindset
Adaptability: Exceptional flexibility and a resilient mindset; comfortable pivoting quickly alongside evolving project requirements and new technical directions.
Communication & Collaboration: Outstanding articulation skills with the ability to explain complex technical challenges and system progress clearly to cross-functional partners.
Emerging Tech Curiosity: A natural curiosity for exploring emerging technologies, with a strong interest in identifying opportunities to apply AI-driven solutions to automation and delivery pipelines.
Education: Bachelor’s degree in Computer Science, Engineering, or an equivalent technical discipline.
Summary
If you're interested in the Senior DevOps Engineer role based in Vancouver, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
show more
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.
Location: Vancouver, BC (Hybrid - 4 days/week in-office)
Contract Duration: 6 months (with a high likelihood of extension)
Advantages
High Likelihood of Extension: Kick off a solid initial 6-month contract with strong prospects for long-term project continuity.
Drive Significant Transformation: Own the foundational roadmap moving an enterprise ecosystem from manual processes to sophisticated GitOps and automation methodologies.
...
Modern Tooling & Cloud Stack: Work deeply with core enterprise technologies including AWS, Kubernetes, ArgoCD, and a modern migration from Splunk to Datadog.
Innovative & Adaptive Culture: Join a forward-thinking team environment that encourages technical curiosity, exploring AI acceleration tools, and continuous architectural refinement.
Responsibilities
Automation & Infrastructure Evolution: Drive the transition toward fully automated infrastructure by evaluating architecture bottlenecks and implementing scalable Infrastructure as Code (IaC) architectures.
CI/CD Pipeline Optimization: Design, implement, and manage secure deployment pipelines to enable fast, reliable, and repeatable application releases across multiple active environments.
Cloud & Platform Engineering: Architect and manage scalable, fault-tolerant, and cost-optimized cloud infrastructure primarily utilizing AWS services.
Observability & Reliability Engineering: Support the platform migration from Splunk to Datadog, establishing proactive monitoring frameworks, dashboards, alerting rules, and system reliability thresholds.
Production Support & Incident Management: Lead the troubleshooting of complex production issues, coordinate root-cause analysis, and implement long-term engineering fixes to eliminate operational toil.
DevSecOps Integration: Incorporate security best practices, access controls, secrets management, and enterprise governance standards into automated delivery pipelines.
Cross-Functional Collaboration: Partner with software development, quality assurance, and product management teams to communicate technical progress, share best practices, and deliver unified infrastructure goals.
Qualifications
Core Technical Requirements
Professional Experience: 10+ years of progressive experience in DevOps, systems engineering, or infrastructure-focused roles, ideally with a background in mid-tier to large enterprise environments.
Cloud Infrastructure: Senior-level expertise in cloud platforms, with a strong focus on AWS architecture and organization.
Infrastructure as Code (IaC): Deep understanding of IaC principles and hands-on scripting experience utilizing PowerShell, Terraform, or CloudFormation.
Containerization & Orchestration: Solid technical understanding of containerized environments, preferably utilizing Kubernetes.
CI/CD & GitOps Ecosystem: Mastery of continuous integration and continuous deployment tools (such as GitLab CI, Jenkins, or GitHub) alongside GitOps CD tools like ArgoCD.
Observability Tooling: Demonstrated experience working with system monitoring and observability suites, specifically managing platforms like Splunk and Datadog.
Soft Skills & Mindset
Adaptability: Exceptional flexibility and a resilient mindset; comfortable pivoting quickly alongside evolving project requirements and new technical directions.
Communication & Collaboration: Outstanding articulation skills with the ability to explain complex technical challenges and system progress clearly to cross-functional partners.
Emerging Tech Curiosity: A natural curiosity for exploring emerging technologies, with a strong interest in identifying opportunities to apply AI-driven solutions to automation and delivery pipelines.
Education: Bachelor’s degree in Computer Science, Engineering, or an equivalent technical discipline.
Summary
If you're interested in the Senior DevOps Engineer role based in Vancouver, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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