Publicis Groupe Canada is the Canadian subsidiary of Publicis Groupe, the second largest communications group in the world and a global leader concentrated within four main activities: Communication, Media, Data and Technology. Publicis Groupe Canada represents the vision of a set of collaborative and integrated agencies that offer expertise and insightful services to many of the biggest brands in North America.
Publicis Groupe Canada is committed to its Diversity, Equity and Inclusion mandate which focuses on four pillars: Education, Talent Management, Outreach and Giving Back. Since the mandate's launch in 2020, they have made strong and continued growth in all their pillars including top-tier mental health benefits, regular education sessions for employees, six business resources groups for employees of various backgrounds and their allies and developing training and scholarships programs with POV and the Miami Ad School Canada. The Groupe also launched This Is The Job, an initiative designed to work with Canada's largest school boards to change the complexion of the marketing industry and inspire racialized teens and young adults to consider a career in the industry.
Canadian brands include: Publicis Canada (Publicis Canada, Hawkeye, Razorfish, Publicis Health, ThePubProductions, Nurun, Publicis Sports & Entertainment), Publicis Media (Starcom, Spark Foundry, Zenith), Leo Burnett (Leo Burnett Canada, Ove Brand Design, Leo Burnett Design), Saatchi & Saatchi (Saatchi & Saatchi Canada, Synergize, TPM),MSL Canada/North Strategic (North Strategic, MSL Canada, Notch Canada) and Publicis Sapient.
Overview
We are looking for a Senior DevOps Engineer to design, build, and operate reliable, scalable, and secure cloud-native platforms. This role focuses on enabling high-performing engineering teams through modern DevOps practices, automation, and platform engineering. The role also supports AI/ML and Generative AI workloads, ensuring models and AI services can be deployed, monitored, and scaled safely in production.
You will collaborate closely with cross-functional teams to ensure that solutions align with business objectives, technical requirements, and operational best practices.
Responsibilities
DevOps & Platform Engineering
- Design, build, and operate highly reliable, scalable, and secure cloud infrastructure.
- Own infrastructure‑as‑code using tools such as Terraform, CloudFormation, or equivalent.
- Develop and maintain CI/CD pipelines to enable fast, safe, and repeatable application deployments.
- Support containerized workloads using Docker, Kubernetes, and managed container platforms.
Cloud & Infrastructure
- Lead design decisions across cloud platforms (AWS, Azure, or GCP).
- Optimize infrastructure for availability, performance, resilience, and cost efficiency.
- Implement best practices for networking, compute, storage, and scalability.
Reliability, Observability & Operations
- Establish monitoring, alerting, and logging standards using modern observability tools.
- Define and track SLIs, SLOs, and operational KPIs.
- Lead incident response, root cause analysis, and continuous improvement initiatives.
Security & Governance
- Embed security best practices into pipelines and infrastructure (DevSecOps).
- Partner with security teams to implement access control, secrets management, and compliance controls.
- Ensure platforms meet enterprise security, privacy, and regulatory requirements.
Collaboration & Leadership
- Act as a technical mentor for DevOps and engineering teams.
- Guide teams through architectural reviews and operational best practices.
- Collaborate with software engineering, architecture, data science, and product teams to translate requirements into scalable solutions.
Qualifications
Qualifications
- 7–10+ years of experience in DevOps, SRE, or platform engineering roles.
- Strong hands‑on experience with cloud platforms (AWS, Azure, or GCP).
- Deep experience with CI/CD, infrastructure‑as‑code, and automation.
- Proficiency with Linux, networking concepts, and distributed systems.
- Experience operating production systems at scale.
- Strong communication skills and ability to work effectively across teams.
- Experience with Kubernetes platform engineering and cluster operations.
- Familiarity with zero‑trust, identity, or secrets management solutions.
Nice to Have
- Previous Martech experience
- Exposure to AI/ML or MLOps environments, including supporting model training, inference, or CI/CD for ML workloads
- Familiarity with Generative AI or LLM platforms (for example, inference services or RAG architectures)
- Prior MLOps experience
Additional information
Publicis Canada is committed to building a diverse workforce representative of our community. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply. If you require a specific accommodation please contact Human Resources at 416-925-7733 or by email at inquiries@publicisna.com
