





Senior niche FinOps/platform role at a notable AI startup in Bangalore, so moderate candidate competition.
Requires specialized cloud, SRE and FinOps experience tied to AI/LLM economics, limiting cross-industry transferability.
Explicit seniority, FinOps/SRE experience, and technical skills (cloud, SQL, observability) create strict filters.
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Own and prioritize all cost efficiency initiatives related to cloud infrastructure and AI/LLM, driving measurable margin gains.
Establish cost-attribution frameworks with tagging and allocation per service, team, customer, and feature to assign ownership of spend.
Develop automation and observability for real-time cost telemetry, anomaly detection, alerting, and triage to scale cost operations efforts.
8+ years experience in infrastructure, SRE, developer productivity, or platform engineering with 3+ years in leadership or program management roles.
Strong hands-on knowledge of cloud infrastructure and AI/LLM cost dynamics.
Proficiency in SQL and data analysis tools (e.g., BigQuery, Sigma) to model cost scenarios.
Location: Hybrid role requiring 3 days per week onsite in Bangalore, India.
Experienced in leading cross-functional teams and programs focused on cloud and AI cost optimization at scale.
Comfortable applying Site Reliability Engineering (SRE) principles such as SLOs, error budgets, and telemetry to financial and operational efficiency.
Strong operational mindset with proficiency in building systems for real-time monitoring, automated cost controls, and continuous efficiency validation.