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Tier-1 brand, mid-level cloud role, metro location and generalist cloud skills increase applicant competition.
Cloud and FinOps specialization raises domain specificity, but skills are transferable across industries.
Explicit 4+ years, required cloud experience and Python/SQL make screening stringent.
Develop and maintain automation scripts, services, and data pipelines focused on cloud cost optimization and FinOps use cases.
Analyze cloud usage and cost data to identify optimization opportunities and support data-driven decision-making.
Collaborate with engineering and platform teams across regions to drive shared cloud cost optimization initiatives and innovate using AI for spend anomaly detection.
4+ years of software engineering, cloud automation, or tooling development experience.
Proficiency in Python, SQL, and foundational software development practices.
Hands-on experience with AWS and/or Azure cloud platforms and infrastructure management.
Experience with Git, Docker, and collaborative development workflows.
Strong experience working in distributed, cross-regional teams with asynchronous communication and coordination across time zones.
Demonstrated interest or background in cloud cost efficiency, performance optimization, and FinOps concepts.
Comfortable integrating AI-assisted development tools to innovate and improve cloud cost optimization solutions.