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Tier-1 brand, common cloud title, mid-level requirement and Bangalore metro drive high competition.
Cloud and LLM skills transfer across industries, but FinOps focus increases domain specificity to medium.
Explicit 4+ years plus AWS/Azure and LLM/FinOps requirements yield high shortlisting strictness.
Design, build, and deploy AI agents using LLM frameworks to optimize cloud FinOps tasks like cost anomaly detection, rightsizing recommendations, and reporting.
Develop and maintain data pipelines and services to support cloud cost optimization and FinOps initiatives across AWS and Azure.
Analyze cloud usage and cost data to identify optimization opportunities and support decision-making with clear technical documentation.
4+ years of software development experience, AI agents, or tooling.
Hands-on experience with AWS and/or Azure cloud platforms.
Proficient in Python, SQL, and foundational software development practices.
Experience with AI agents or LLM-powered applications, including prompt engineering, tool-calling, and RAG concepts.
Experienced in developing and deploying AI agents focused on cloud cost optimization or FinOps functionalities.
Comfortable working asynchronously across distributed, cross-regional teams including US counterparts.
Skilled in collaborating using Git workflows and containerized development with Docker, with strong communication skills for technical concepts.