Senior Cloud Engineer, SRE

About this role

Overview Seismic is seeking a Senior Cloud Engineer to advance reliability across our AWS, Azure, IBM Cloud, and OCI environments, working hands-on to build automation, improve observability, and strengthen incident response as part of a globally distributed SRE org. We prioritize a cloud agnostic approach to architecture, automation, and engineering standards to support velocity and scale. You will contribute to our reliability roadmap, provide technical guidance on reliability best practices, participate in major incident response, and work collaboratively across Product & Engineering, Security, and Customer-facing teams. Who you are: Experience in a production facing SRE role supporting a complex SaaS environment. You approach discussions about existing solutions, processes, and proposals with curiosity, respect, and a collaborative mindset. Strong technical judgment across distributed systems, multi-cloud environments, Kubernetes, networking, various infrastructure technologies, GitOps, and CI/CD. Experience establishing and maturing SRE principles and practices, including SLOs, error budgets, observability, capacity planning, incident response, and toil elimination. Proficient in using observability data to resolve high-severity incidents and dig deeper into root cause during postmortems. Experience leading through high-pressure incidents and communicating clearly with technical teams, executives, customer-facing stakeholders, and third-party vendors. What you'll be doing: Operating Model Design, build, and maintain automation and tooling that reduces operational toil. Contribute to maturing reliability practices in partnership with Product & Engineering leaders. Contribute to an inclusive, high-accountability culture that encourages curiosity, collaboration, and blameless improvement. Incident Management and Operational Excellence Actively participate in the health and continuous improvement of the incident-management lifecycle, including detection, engagement, escalation, mitigation, stakeholder communication, post-incident review, and corrective-action follow-through. Participate in a 12-hour follow-the-sun on-call rotation within the Global SRE team. Ensure incident practices are customer-centered, data-driven, blameless, and consistent across teams while preserving accurate severity and escalation decisions. Use alert, incident, support, and SLO trends to move the organization from reactive response toward proactive risk reduction. Build measurable feedback loops that connect incident learning to engineering standards, service maturity, product priorities, and vendor actions. Work closely with application engineering teams and incorporate their feedback to improve developer experience and reduce toil. Reliability Strategy and Service Maturity Partner with service owners to ensure production readiness standards are met before each release stage. Provide an SRE point of view on capacity planning, resilience testing, game days, disaster-recovery readiness, and modernization of fragile or legacy workloads. Partner with Product and Engineering leaders to document critical customer workflows, define health expectations, surface dependencies early, and align reliability investment with business priorities. Participate in cross-team reliability engagements, influencing outcomes without relying on direct authority. Build strategic relationships with vendors in the observability, incident response, and cloud infrastructure domains. AI-First Reliability Engineering Responsibly adopt AI-assisted and agentic workflows for alert triage, incident mitigation, postmortems, trend analysis, capacity planning, SLO analysis, and self-service knowledge. Keep qualified humans in the decision loop for production-impacting actions. Improve the context available to reliability workflows by strengthening service metadata, observability data, incident records, runbooks, architecture documentation, and corrective-action quality. What we have for

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