Own incident response tooling at Confluent Cloud with Python, SQL, PagerDuty, and Rootly across AWS, GCP, and Azure. Work in a global follow-the-sun team.
This senior engineering role sits within Cloud Architecture and Reliability - Supportability. You will manage incident workflows, build integrations, analyze operational data, and support incident commanders. Approximately 75% of the work involves engineering, with 25% focused on partnering across engineering teams.
Key Responsibilities: Configure Rootly and PagerDuty workflows, schedules, services, and severity definitions
Build integrations across Jira, Confluence, Slack, and service catalogs
Define consistent MTTD, MTTM, MTTR, and incident volume metrics
Create dashboards, reports,



and analysis of recurring incident trends
Automate data fixes and vendor API workflows to reduce toil
Requirements: Four or more years in SRE, production operations, or DevOps
Hands-on administration experience with incident or on-call tooling
Proficiency in Python, Go, or a similar scripting language
Robust SQL, data analysis, and dashboard-building skills
Experience with AWS, GCP, or Azure cloud environments
Apply incident tooling, automation, cloud, and data expertise to strengthen Confluent Cloud reliability and operational response.

#J-18808-Ljbffr

📌 Senior Incident Response Engineer (Quebec City)
🏢 International Business Machines
📍 Quebec City