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Established global brand and generalist senior engineering role attract moderate candidate density.
Engineering leadership and cloud/microservices skills transfer across industries, moderate domain specificity.
Many mandatory leadership, cloud, architecture, and DevOps requirements but no explicit years, so medium strictness.
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Lead and scale distributed product engineering teams ensuring timely delivery, technical excellence, and innovation.
Drive adoption of AI-assisted development tools to improve productivity, code quality, and delivery predictability.
Collaborate cross-functionally with Product Management, UX, QA, DevOps, and business stakeholders to define and execute product roadmaps and technical strategy.
Experience leading software engineering teams in product development environments.
Strong technical expertise in cloud platforms (AWS, Azure, GCP), microservices architecture, DevOps practices, and automation.
Proven skills in Agile methodologies, software architecture, API design, and scalable system design.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing multi-team or multi-location engineering organizations with a focus on delivery and technical strategy.
Skilled in leveraging AI/ML-powered engineering platforms or developer productivity tools within software development lifecycles.
Comfortable operating in large-scale product or SaaS platform environments and driving cross-functional collaboration in matrixed organizations.