VP Cloud / Devops - Hybrid

What You Will Own

 AI and SaaS operations technology vision, execution, and observability

 All repositories, artifacts, pipelines, and operations for our client's One platform.

 Site reliability for 3,500+ customers

 AI and AWS platform infrastructure

 Build and deployment of AI applications and platform

 RPO, RTO, and all relevant SLAs

 AWS cost optimization including AWS service and resource capacity planning

Advantages

Preferred Qualifications

 Experience absorbing cloud workloads from M&A or product carve-outs.

 Familiarity with AI infrastructure and Agentic AI deployments and patterns.

 Familiarity with Azure workloads

 Background supporting finance, fintech, or other regulated SaaS where data integrity is

mission critical.

 Engineering background with a degree in computer science

Responsibilities

What You Will Do

 Lead, mentor, and grow a blended AI-first, global SRE / DevOps platform team

 Drive AWS technology strategy for AI and services deployment

 Own CI / CD (GitHub Actions, Terraform / CDK), blue-green & canary release patterns

 Implement observability (Datadog, CloudWatch, etc.) and 24×7 follow-the-sun on-call.

 Oversee platform Security & compliance automation : IaC scanning, SBOM, secrets

rotation, incident post-mortems, SAST, DAST, and SCA.

 Manage cloud and GitHub spend; institute cost-allocation, cost governance.

 Present reliability and FinOps scorecards to Executive team, Board, and PE operating

partners.

Qualifications

Required Qualifications

 10+ years in Dev Ops / SRE; 5+ years leading multi-region SaaS on AWS at Director / VP

level.

 Automation-first mindset and proven record of building sustainable automation pipelines

 Experience installing and supporting AWS services such as EKS, Lambda, Serverless

databases and technologies

 Proven ownership of GitHub-centric CI / CD and GitOps workflows.

 Track record implementing SOC 2, ISO 27001, GDPR / CCPA

 Demonstrated FinOps wins at > $10 m annual AWS spend.

 Hands-on success operationalizing AIOps / ML tooling (e.g., DevOps Guru, Datadog

Watchdog, LLM runbooks).

 Leader who scales people, processes, and culture in PE-backed, rapid-growth

environments.

 Must be legally entitled to work in the country where the role is located.

Summary

Notes

 Successful candidates might be required to undergo background (work and education)

verification with an external vendor.

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.