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Tier-1 brand and metro location but senior, specialized infra requirements reduce applicant density.
Deep multi-cloud infrastructure and cost-optimization expertise required, limiting cross-industry transferability.
Explicit 9+ years and mandatory cloud, distributed-systems, and Kubernetes expertise enforce strict filters.
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Lead technical strategy and architecture for cloud cost efficiency projects at large scale involving AWS, Azure, and GCP.
Drive design and implementation of automated systems for cloud spend optimization, including reserved-instance automation, cost attribution, resource rightsizing, and self-driving AI-based efficiency systems.
Provide technical leadership across cross-functional teams, mentor engineers, manage incident response, and ensure platform stability at global scale.
9+ years experience building distributed systems in Java, Scala, C++, or Go.
Proven expertise in large-scale cloud infrastructure (AWS/Azure/GCP) and container orchestration (Kubernetes/Docker).
Demonstrated ability to architect solutions for ambiguous, large-scale engineering problems.
Work Experience Required: 9+ years.
Senior engineer with deep technical skills in distributed systems and broad experience across cloud infrastructure and software lifecycles.
Strategic thinker capable of leading and defining roadmaps for efficiency pillars involving complex cost governance.
Experienced in mentoring engineers and handling operational excellence in large-scale, multi-cloud environments.