Top Tech Jobs & Startup Jobs in Seattle, WA

Leads complex enterprise technology programs involving hybrid cloud, data modernization, analytics, AI readiness, digital transformation, and infrastructure initiatives. Manages projects end to end, coordinates cross-functional teams and stakeholders, oversees dependencies and delivery methodologies, develops PMO processes, supports RFPs and presales, and mentors project management staff. The role requires strong knowledge of cloud, data, analytics, cybersecurity, application development, and enterprise IT implementations.

Consults with clients to assess infrastructure needs and design, deploy, administer, and troubleshoot virtualization environments using Microsoft Hyper-V and Nutanix AHV. Manages clustering, storage, networking, disaster recovery, upgrades, monitoring, and lifecycle activities. Supports cloud and hybrid infrastructure deployments, automation with PowerShell, workload migrations, documentation, and project tracking. Requires participation in troubleshooting, maintenance, and on-call support for highly available enterprise environments.

Develop and maintain automated integration test harnesses for OpenStack, cloud infrastructure, and multi-service API applications. Automate smoke, CLI/TUI, GUI, and comprehensive parallel tests across microservice versions and production-like environments. Collaborate with software engineers, SREs, and subject matter experts to define test priorities, integrate testing into CI/CD pipelines, identify coverage gaps, and document test cases. The role requires strong software testing experience, automation development skills, and familiarity with Kubernetes, Kustomize, virtualization, and storage systems.

Provides managed-services systems engineering for IBM z environments, including troubleshooting, software implementation and tuning, storage management, disaster recovery, hardware upgrades, performance monitoring, and capacity planning. The role supports customer environments, coordinates with software vendors, documents systems, advises clients, contributes to proposals, and identifies service opportunities. Expertise in IBM installation procedures, core utilities, z ISV products, and UNIX System Services is required, with DB2, CICS, telecommunications, security, automation, Java, and WLM experience preferred.

Owns enterprise AI platform sales across assigned accounts, from discovery and solution shaping through negotiation and close. Builds executive relationships, develops business cases, coordinates technical and services teams, and sells AI infrastructure, software, governance, security, implementation, and managed services. Maintains Salesforce pipeline discipline, collaborates with strategic partners, presents to executives, and translates AI capabilities into measurable business outcomes.