Seismic is the Go-To-Market Performance company, driving how organizations turn their strategy into revenue. Seismic brings together signals from customer conversations, buyer engagement, governed content, coaching and seller behavior to turn intelligence into winning action. Through its AI revenue execution platform, the company equips customer-facing teams with the insights, governance, and contextual guidance they need to execute with confidence and deliver measurable business outcomes. Trusted by 2,500 organizations and over 3.5 million users around the globe, Seismic is headquartered in San Diego with offices across North America, Europe and Asia-Pacific. Learn more at seismic.com.

Seismic is committed to building an inclusive workplace that ignites growth for our employees and creates a culture of belonging that allows all employees to be seen and valued for who they are. Learn more about DEI at Seismic here.

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.

• 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.

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.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.   

Please be aware we have noticed an increase in hiring scams potentially targeting Seismic candidates. Read our full statement on our Careers page. 

We are committed to fair and equitable compensation practices.

Seismic's annual base salary range for this position will vary based on applicant's location, experience, job level, skills, and abilities as well as internal equity and alignment market data. The range listed below is the minimum to the maximum of our target hiring range.

Seismic's salary range for this position is: USD $150,000.00/Yr. - USD $175,000.00/Yr.

This position is also eligible to participate in Seismic's incentive plans in addition to base salary. The actual incentive amount will very and will be subject to the terms and conditions set in the applicable incentive plan.