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 incidents happen in a multi-cloud streaming platform, they happen at scale—data in motion, exactly-once semantics, and cascading failure modes that require deep systems thinking. We need an expert-level engineer who can drive proactive reliability improvements that prevent these incidents before they occur.This role combines hands-on technical work with strategic program ownership. You'll spend roughly 75% of your time on engineering: building automation, improving tooling, analyzing systemic failure patterns, and designing reliability improvements. The remaining 25% is teaching and coordination: coaching teams through post-mortems, training incident commanders, and evolving our incident response practices.You’ll be part of a global team with follow-the-sun coverage, with 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. You're the person who makes us need incident management less.What You Will DoAnalyze systemic failure patterns and design reliability improvements that prevent incident recurrenceOwn Rootly configuration, workflows, and integrations with PagerDuty, Jira, Confluence, and SlackDefine and maintain SLO/SLA frameworks; use error budgetsto guide reliability investmentsOwn standards, practices, and continuous improvement of incident response across engineeringEdit and review customer-facing incident documents (CRCAs) to ensure quality and clarityDevelop and deliver training programs; coach teams through post-mortemsPartner with engineering leaders to elevate reliability practices org-wideDeep experience with observability: metrics, logging, tracingKubernetes and container orchestration experienceUnderstanding of CI/CD pipelines and release processesStrong written communication (design docs, runbooks, post-mortems)Experience driving org-wide process and cultural changesPreferred EducationMaster's DegreeRequired Technical And Professional Expertise10+ years of relevant experience in SRE, incident management, or reliability engineeringCloud experience with at least one of AWS, GCP, or Azure (we run all three)Experience navigating reliability/incident programs at 500+ engineer organizationsDeep expertise with incident management tooling (Rootly, PagerDuty, or similar)Strong understanding of distributed systems and failure modes at scaleKafka/event streaming expertise preferred, or demonstrated rapid mastery of complex systemsPreferred Technical And Skilled ExperienceAdvanced Cloud Knowledge: Experience with cloud-based infrastructure and its application in reliability and resiliency engineering.Specialized Scripting Skills: Proficiency in scripting languages and automation tools to optimize system reliability and performance.#J-18808-Ljbffr

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