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High due to Tier-1 brand, metro location, mid-level generalist cloud role, and broad skill requirements.
Medium because cloud automation and FinOps skills transfer across industries but require cloud-specific expertise.
High because an explicit 4+ years requirement plus mandatory cloud, Python and SQL skills are listed.
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Develop and enhance automation scripts, services, and data pipelines focused on cloud cost optimization across AWS and Azure.
Analyze cloud usage and cost data to identify optimization opportunities and support FinOps initiatives.
Collaborate with engineering and platform teams to drive cost-optimization initiatives across regions and innovate with AI to detect spend anomalies.
Minimum 4+ years development experience in software engineering, cloud automation, or tooling.
Hands-on experience with AWS and/or Azure cloud platforms, including infrastructure and resource management exposure.
Proficiency in Python, SQL, Git workflows, and familiarity with containerized development concepts like Docker.
Work Experience Required: 4+ years in relevant development or cloud automation roles.
Comfortable working asynchronously across distributed, cross-regional teams with clear communication, including US counterparts.
Experienced in cloud cost efficiency and FinOps concepts with a focus on data-driven decision making.
Familiarity or interest in AI-assisted development tools and leveraging AI for cloud optimization is a plus.