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Senior leadership and niche cloud/platform demands reduce applicant density.
Cloud platform leadership requires specific cloud and platform experience but is transferable across industries.
Explicit 12+ years plus leadership and cloud/platform requirements create strict screening filters.
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Lead and manage cross-functional engineering teams across application, platform, systems, quality, and database disciplines to deliver cloud-native AI/ML solutions on Google Cloud Platform.
Own end-to-end delivery of engineering initiatives ensuring alignment with product strategy, architectural direction, and business priorities, maintaining speed, quality, reliability, and cost effectiveness.
Oversee technical governance, operational readiness, and stakeholder communication, driving architecture reviews, incident management, and cloud cost accountability.
12+ years of industry experience in software engineering or related technical roles.
3–4+ years in an engineering leadership role managing multi-disciplinary teams.
Bachelor’s Degree in Computer Science or related field; Master’s preferred.
Experience with cloud-native systems on Google Cloud Platform or equivalent public cloud, including hands-on expertise in Java or major programming languages, microservices, CI/CD, and database technologies.
Experienced in managing multi-disciplinary engineering teams delivering complex cloud-native systems at scale, particularly using GCP.
Capable of translating business objectives into executable engineering plans with strong stakeholder management skills across product, architecture, and business functions.
Possesses deep technical understanding to engage in architectural trade-offs, code/design reviews, and driving engineering best practices without micromanagement.