détails d'emploi
Our client, a prominent player in the modern technology and artificial intelligence domain, is seeking a Senior Cloud & DevOps Specialist to join a high-performing product engineering group. In this role, you will play a critical part in empowering cross-functional teams that build cutting-edge speech processing and voice-driven AI platforms. You will bridge the gap between cloud architecture and data science, ensuring that multi-cloud environments are resilient, automated, and ready for production-scale deployment.
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Advantages
High-Impact AI Projects: Direct involvement in cutting-edge voice intelligence and machine learning technologies.
Modern Multi-Cloud Stack: Hands-on ownership of advanced AWS and GCP environments.
Competitive Compensation: Top-tier hourly rates tailored for seasoned senior consultants.
Dynamic Environment: Collaborate within an agile, multidisciplinary team of top-tier engineers and data scientists.
Responsibilities
Architect, sustain, and elevate multi-cloud platforms across AWS and GCP, overseeing services related to compute, storage, networking, and governance.
Lead Infrastructure-as-Code (IaC) initiatives using Terraform to automate cloud environment provisioning.
Design, build, and optimize robust CI/CD pipelines utilizing modern tools such as GitHub Actions and Jenkins.
Partner with AI and Data Science specialists to enable, scale, and optimize data processing environments like Databricks and Snowflake.
Oversee reliable production releases for AI solutions, ensuring strict alignment with change control, security guidelines, and rollback strategies.
Enhance platform observability, logging, and performance metrics to drive maximum system availability and operational efficiency.
Implement disaster recovery strategies, automated backups, and cloud cost management measures.
Champion security and reliability standards while coaching engineering peers on modern DevOps practices.
Qualifications
5 to 8 years of professional experience in a senior DevOps or Cloud Engineering capacity.
Proven track record supporting data-intensive workloads or machine learning engines in AWS, GCP, or hybrid environments.
Solid hands-on knowledge of containerization and orchestration tools (Docker, Amazon EKS, GKE, Cloud Run, or serverless architectures).
Strong proficiency in scripting and automation using Python, Bash, or equivalent languages.
Practical understanding of security frameworks, governance, and cloud cost containment strategies.
Familiarity with service reliability principles, including SLO/SLI tracking and operational metrics.
Demonstrated ability to guide, mentor, and elevate team members in cloud-native paradigms.
Our client operates in Canada. The company takes all reasonable steps to limit the number of positions in Quebec that require knowledge of a language other than French, and only requires it when necessary and its existing bilingual employees are unable to perform these duties. Based on an assessment conducted by our client, it has been determined that this position requires candidates to be fluent in English (both spoken and written). In particular, this position will require the employee to interact with centralized internal departments (e.g., Operations / HR / Finance / Legal / Contracts / Sales) that support the organization in Canada and that do not speak French.
Summary
Location: Montreal, QC (Remote / Hybrid flexibility)
Position Type: Contract
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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Our client, a prominent player in the modern technology and artificial intelligence domain, is seeking a Senior Cloud & DevOps Specialist to join a high-performing product engineering group. In this role, you will play a critical part in empowering cross-functional teams that build cutting-edge speech processing and voice-driven AI platforms. You will bridge the gap between cloud architecture and data science, ensuring that multi-cloud environments are resilient, automated, and ready for production-scale deployment.
Advantages
High-Impact AI Projects: Direct involvement in cutting-edge voice intelligence and machine learning technologies.
Modern Multi-Cloud Stack: Hands-on ownership of advanced AWS and GCP environments.
Competitive Compensation: Top-tier hourly rates tailored for seasoned senior consultants.
Dynamic Environment: Collaborate within an agile, multidisciplinary team of top-tier engineers and data scientists.
Responsibilities
Architect, sustain, and elevate multi-cloud platforms across AWS and GCP, overseeing services related to compute, storage, networking, and governance.
...
Lead Infrastructure-as-Code (IaC) initiatives using Terraform to automate cloud environment provisioning.
Design, build, and optimize robust CI/CD pipelines utilizing modern tools such as GitHub Actions and Jenkins.
Partner with AI and Data Science specialists to enable, scale, and optimize data processing environments like Databricks and Snowflake.
Oversee reliable production releases for AI solutions, ensuring strict alignment with change control, security guidelines, and rollback strategies.
Enhance platform observability, logging, and performance metrics to drive maximum system availability and operational efficiency.
Implement disaster recovery strategies, automated backups, and cloud cost management measures.
Champion security and reliability standards while coaching engineering peers on modern DevOps practices.
Qualifications
5 to 8 years of professional experience in a senior DevOps or Cloud Engineering capacity.
Proven track record supporting data-intensive workloads or machine learning engines in AWS, GCP, or hybrid environments.
Solid hands-on knowledge of containerization and orchestration tools (Docker, Amazon EKS, GKE, Cloud Run, or serverless architectures).
Strong proficiency in scripting and automation using Python, Bash, or equivalent languages.
Practical understanding of security frameworks, governance, and cloud cost containment strategies.
Familiarity with service reliability principles, including SLO/SLI tracking and operational metrics.
Demonstrated ability to guide, mentor, and elevate team members in cloud-native paradigms.
Our client operates in Canada. The company takes all reasonable steps to limit the number of positions in Quebec that require knowledge of a language other than French, and only requires it when necessary and its existing bilingual employees are unable to perform these duties. Based on an assessment conducted by our client, it has been determined that this position requires candidates to be fluent in English (both spoken and written). In particular, this position will require the employee to interact with centralized internal departments (e.g., Operations / HR / Finance / Legal / Contracts / Sales) that support the organization in Canada and that do not speak French.
Summary
Location: Montreal, QC (Remote / Hybrid flexibility)
Position Type: Contract
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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