We are seeking a highly skilled Multi-Cloud FinOps “Staff Engineer” to contribute to cloud financial optimization, AI/GenAI cost governance, Kubernetes workload efficiency, MLOps optimization, and enterprise chargeback/show back strategy across Azure, AWS, and GCP environments.
This role combines:
Cloud architecture
FinOps governance
AI/ML platform optimization
Data engineering
Financial analytics
Enterprise budgeting & forecasting
The ideal candidate will drive cloud profitability, tenant-level usage accountability, and intelligent cost optimization for modern AI-powered platforms.
Location:
- Bangalore
Who You’ll Report To:
- Director – Cloud Engineering
You Will Make an Impact By Being Responsible For:
Technical Advisory
Conduct deep-dive architectural reviews of high-spend services to identify inefficiencies.
Provide specific code-level and infrastructure recommendations, such as refactoring for serverless, right-sizing containerized environments, and optimizing storage tiering logic.
Advise engineering teams on cost-effective design patterns during the initial design phase to prevent 'technical debt' in the cloud bill.
Translate high-level savings targets into actionable technical backlogs.
Oversee and develop scripts (e.g., Python, Bash) and Infrastructure as Code (Terraform) for automated governance.
Build and maintain technical 'guardrails' that prevent cost leaks before they occur.
Automate the detection and remediation of orphaned resources, unoptimized snapshots, or inefficient architectural patterns.
Translate complex technical optimization successes into business value metrics for Senior Leadership.
Provide technical feasibility assessments for long-term cloud financial commitments and strategic procurement decisions.