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Tier-1 brand, metro location, mid-level manager role, and broad cloud/backend requirements increase competition.
Cloud engineering and management skills transfer across industries, but cost-management specifics need domain familiarity.
Explicit years plus mandatory Java/Go and cloud/Kubernetes requirements make hiring filters strict.
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Lead technical vision, architecture, and delivery for the Cloud and AI Cost Management platform targeting scalable, cloud-native solutions.
Drive engineering excellence through high-quality reviews, operational improvements, and reliability for distributed systems using Java, Go, Kubernetes, AWS, and GCP.
Build and mentor a high-performing engineering team while collaborating cross-functionally to align engineering efforts with product goals and business objectives.
3+ years of experience leading high-performing engineering teams.
5+ years experience building scalable SaaS backend applications using Java and/or Go.
Strong expertise in distributed systems design, cloud-native tech including AWS, GCP, Kubernetes, and microservices architectures.
Bachelor's degree in Computer Science or equivalent practical experience.
Experienced technical leader with a track record of shaping architecture and driving strategy for scalable cloud-native platforms.
Operationally minded with hands-on experience managing production systems, incident response, and reliability improvements.
Proven collaborator with product management and cross-functional teams in a fast-paced, globally distributed engineering environment.