Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.
Our Prospect:
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-efficient 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 b