Confluent - Senior Software Engineer - Incident Response Tooling

IntroductionAt IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world.
Your Role And ResponsibilitiesConfluent Cloud processes millions of events per second across AWS, GCP, and Azure. When something breaks, the incident stack has to work: the right people get paged, the incident is tracked from detection to resolution, and afterwards the data tells us what happened and where to invest. We're looking for an engineer to own that foundation.
You'll run our incident management tooling day to day, owning PagerDuty and Rootly. You'll also define how we measure incidents and turn that data into analysis that engineering leadership acts on. Roughly 75% of your time is hands‑on engineering: configuration, automation, integrations and data work. The other 25% is partnering with engineering teams and incident commanders.
You'll be part of a global team with follow-the-sun coverage and clean handoffs that keep everyone working sustainable hours. This role sits within Cloud Architecture and Reliability - Supportability, a horizontal team that owns reliability standards and tooling across engineering.
What You Will DoOwn Rootly and PagerDuty configuration: workflows, escalation policies, schedules, services, form fields and severity definitionsBuild and maintain integrations between Rootly, PagerDuty, Jira, Confluence, Slack and our service catalogDefine and document incident metrics (MTTD, MTTM, MTTR, volume by severity, team and root cause) so they're calculated the same way everywhereBuild dashboards and recurring reports on incident trends, and surface repeat offenders and detection gapsKeep incident data accurate: audit for missing or inconsistent fields and automate fixes where possibleSupport incident commanders and on‑call engineers with tooling questions, onboarding and documentationWrite automation against vendor APIs to reduce manual incident toil
Preferred EducationMaster's Degree
Required Technical And Professional Expertise4+ years in SRE, production operations, DevOps or a related engineering roleHands‑on admin experience with incident or on‑call tooling (PagerDuty, Rootly, Opsgenie, incident.Io or similar)Proficiency in Python, Go or a similar language for scripting and API integrationsStrong SQL and data analysis skills;
experience building dashboards (Looker, Grafana, Tableau or similar)Cloud experience with at least one of AWS, GCP or Azure (we run all three)Clear written communication: runbooks, metric definitions, and reports for engineering leadership
Preferred Technical And Professional ExperienceFamiliarity with incident management practices: severity frameworks, post‑mortems, SLOs and error budgetsOn‑call or incident commander experienceBigQuery or another cloud data warehouseExposure to Kafka or distributed systems
#J-18808-Ljbffr