Senior DevOps Engineer

Client delivers global, high-availability cloud-based Identity and Access Management (IAM) services for high-profile customers, operating under the highest security and compliance standards. To support continued customer growth and increasing platform complexity, Seeking a Senior Cloud DevOps Engineer to join the Cloud Operations organization. This role is responsible for the reliability, scalability, automation, and continuous improvement of IAM cloud infrastructure and platforms across AWS and GCP, with a strong focus on automation, observability, and AI-assisted operations (AIOps).

For the Senior Cloud DevOps Engineer role, we are seeking candidates with 8+ years of experience, including a strong understanding of data center technologies and advanced expertise with cloud platforms. These areas are fundamental to the position. We are looking for candidates who can demonstrate strong analytical and troubleshooting skills, along with extensive hands-on experience managing cloud environments and supporting day-to-day operations.

Although many resumes list relevant technologies, candidates must also demonstrate broad experience and a comprehensive understanding of the overall infrastructure environment. Experience limited to only a few specific areas would not meet the requirements of this role.

Please focus on candidates with hands-on experience and broad exposure to the following platforms and technologies:

Kubernetes
Terraform and Infrastructure as Code
CI/CD pipelines
Automation and scripting
Cloud platforms and infrastructure
Data center technologies
Production support, troubleshooting, and incident resolution

Advantages
Experience with AIOps platforms or ML-assisted monitoring
AI-assisted DevOps or Cloud Operations exposure
IAM or regulated environment experience
ITIL or COBIT familiarity
Experience in globally distributed teams

Responsibilities
Cloud Operations & Reliability Engineering
Operate and support production-grade, highly available IAM cloud services
Ensure availability, performance, resilience, and security of platforms
Participate in L2/L3 incident response, root-cause analysis, and post-incident reviews
Take part in a 24/7 follow-the-sun on-call rotation
Drive continuous improvements to operational stability and service quality
DevOps, Automation & Infrastructure as Code
Design, implement, and maintain Infrastructure as Code (IaC) using Terraform
Build and maintain CI/CD pipelines (GitLab)
Deploy and manage Kubernetes-based platforms (EKS, GKE, OpenShift)
Automate provisioning, deployment, validation, and rollback processes
Review DevOps code to ensure quality, security, and consistency
Observability & AIOps Initiatives
Implement monitoring, logging, and alerting using Datadog
Leverage AIOps capabilities for anomaly detection and alert correlation
Support faster root-cause identification during incidents
Contribute to predictive analytics such as capacity forecasting and failure prevention
AI-Assisted Operations & Automation
Use AI-powered copilots for troubleshooting and diagnostics
Generate and improve operational documentation and runbooks using AI
Develop automated remediation and self-healing workflows
Integrate AI-assisted insights into operational workflows
Database & Platform Services (Supporting Role)
Support cloud databases: PostgreSQL, MySQL, MSSQL, MongoDB, Elastic
Contribute to upgrades, backups, HA/DR, and monitoring
Assist with data migrations where required
Ensure database security and performance
Collaboration, Documentation & Governance
Produce design documents, runbooks, and operational procedures
Collaborate with Automation Architects, SREs, and R&D teams
Improve scalability, reliability, security, and cost efficiency
Follow ITIL-aligned operational processes
Operate in regulated and security-sensitive environments

Qualifications
8+ years operating cloud-based production systems
Strong Kubernetes orchestration experience
Hands-on Terraform and Infrastructure as Code expertise
CI/CD pipeline experience (GitLab)
AWS or GCP experience
Scripting and automation (Python, YAML, JSON, Bash)
Experience with observability tools
Strong Linux knowledge

Summary
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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 [email protected] to ensure their ability to fully participate in the interview process.

This posting is for existing and upcoming vacancies.