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Metro location and general cloud leadership attract experienced applicants, but seniority reduces candidate density.
Requires cloud-native GCP expertise and multi-discipline engineering leadership, limiting easy cross-industry transferability.
Explicit 12+ years, 3–4+ leadership years, and mandatory GCP/cloud-native expertise raise screening rigidity.
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Lead and manage cross-functional engineering teams covering application, platform, systems, quality, and database disciplines for 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 while balancing speed, quality, reliability, and cost.
Provide technical and people leadership, including coaching senior engineers, managing stakeholder communication, driving operational excellence, and managing cloud cost accountability.
12+ years total industry experience in software engineering or related roles.
3–4+ years experience in engineering leadership roles such as Engineering Manager or Technical Manager.
Bachelor’s Degree in Computer Science or related field; Master’s Degree preferred.
Hands-on experience with cloud-native application development on Google Cloud Platform or equivalent public cloud, strong programming skills in Java or similar languages, and experience with microservices architectures, databases, and CI/CD automation.
Experienced leader capable of managing diverse engineering disciplines across cloud-native platforms and applications.
Strong communicator and collaborator able to translate business goals into engineering execution while managing multiple stakeholders.
Technically proficient leader with hands-on expertise to engage in architectural decisions and drive engineering best practices in large-scale, production systems.