ServiceNow logo on gradient background

ServiceNow

Montréal
Total Offices: 3
29,000 Total Employees
Year Founded: 2004

ServiceNow Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

At ServiceNow, we lead with flexibility and trust. For some, home is the primary workplace. For those who come into a ServiceNow workplace, you are empowered to make team-guided and individual-led decisions on how and when you use the workplace.

Typical time on-site: Flexible

Global Office Locations

Montréal

6650 St Urbain Street, Suite 500, Montréal, QC, Canada, H2S 3G9

Toronto

161 Bay St., Toronto, Ontario, Canada, M5J 2S1

Vancouver

Robson Square, 777 Hornby Street, Vancouver, British Columbia, United States, V6Z 1S4

Recently posted jobs

21 Hours AgoSaved
Remote or Hybrid
Toronto, ON, CAN
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, deploy, and operate production optimization applications powered by machine learning and advanced algorithms. Develop evaluation and testing systems, ensure reliability and observability, and direct AI coding agents through precise specifications and reviews. Collaborate with customers and cross-functional teams to translate business needs into scalable solutions, communicate risks, and influence product direction.
YesterdaySaved
Hybrid
Toronto, ON, CAN
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design and operate cloud-native platforms for software, release, and production validation. Build Kubernetes-based infrastructure, CI/CD pipelines, observability, quality gates, automated testing, resilience controls, and self-service environments. Lead architecture decisions and cross-team projects, resolve complex infrastructure challenges, reduce operational toil, and mentor engineers while promoting reliability and operational excellence.
7 Days AgoSaved
Hybrid
Toronto, ON, CAN
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Own production database troubleshooting, incident root-cause analysis, performance tuning, observability, and automation across large-scale PostgreSQL and MariaDB fleets. Support multi-tenant cloud infrastructure, analyze Linux and distributed-system performance, conduct stress testing, influence platform decisions, and mentor engineers. The role requires extensive relational database, web application, Unix, SaaS, and production support experience, with desired skills in Python, JavaScript, Ansible, Kubernetes, and CI/CD.