Staff Cloud FinOps Engineer

LE400 Automation Anywhere Software Pvt. Ltd.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Automation Anywhere is seeking a seasoned Multi-Cloud FinOps Staff Engineer to optimize cloud costs across Azure, AWS, and GCP, including AI/GenAI cost governance and MLOps cost efficiency. You will drive cost visibility, tagging, chargeback readiness, and governance across data platforms and Kubernetes workloads.

The role combines cloud architecture, FinOps leadership, data engineering, and enterprise budgeting, requiring strong analytics, IaC, and automation to deliver measurable cost savings

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 6+ years in Cloud engineering, FinOps, or DevOps roles.
• 3+ years in FinOps or cloud financial governance.
• Deep understanding of cloud billing models, pricing structures, and cost optimization.
• Hands-on experience with AWS Cost Explorer, Azure Cost Management, GCP Billing, and FinOps tools like CloudHealth, CloudZero.
• Strong analytical skills with data viz: SQL, Python, Power BI/Tableau/Grafana; cost analytics dashboards.
• FinOps Certified Practitioner or similar certification is a plus.
• End-to-end understanding of cloud-based web apps and architecture.
• Experience with Docker and Kubernetes in production.
• Experience with Terraform or Ansible.
• Exposure to AI platform economics.

Responsibilities

• Conduct cost governance and optimization reviews of high-spend services.
• Define cost allocation strategies and dashboards for governance.
• Lead Kubernetes cost optimization and budgeting efforts.
• Collaborate with finance and engineering for monthly FinOps reviews.
• Develop scalable cost forecasting models and KPI frameworks.

Skills

SQL

Python

Cost analytics

Data visualization

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

AWS Cost Explorer

Azure Cost Management

GCP Billing

CloudHealth

CloudZero

Docker

Kubernetes

Terraform

Ansible

Job description

About Us

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.

Opportunity

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/showback strategy across Azure, AWS, and GCP environments. This role combines cloud architecture, FinOps governance, AI/ML platform optimization, data engineering, financial analytics, and enterprise budgeting & forecasting.

Responsibilities

• Technical Advisory: Conduct deep‑dive architectural reviews of high‑spend services, provide code‑level and infrastructure recommendations such as refactoring for serverless, right‑sizing containerized environments, optimizing storage tiering logic, advise on cost‑efficient design patterns, translate savings targets into actionable technical backlogs, develop scripts and infrastructure‑as‑code for automated governance, build guardrails to prevent cost leaks, automate detection and remediation of orphaned resources, translate optimization successes into business value metrics, assess technical feasibility of long‑term cloud financial commitments, build cloud financial forecasting models, drive budgeting, forecasting variance analysis, margin optimization, cost anomaly detection, capacity planning, develop KPI frameworks (cost per tenant, per transaction, per AI request, per model training run, gross margin tracking), partner with finance and engineering for monthly reviews, build Executive FinOps dashboards, present optimization opportunities, establish governance standards and compliance controls, enable data‑driven decision making.
• Kubernetes & Container Cost Optimization: Lead Kubernetes FinOps initiatives, optimize node utilization, autoscaling policies, spot/preemptible workloads, namespace‑level cost visibility, GPU allocation, multi‑tenant clusters, implement workload rightsizing strategies using CPU/memory profiling, idle resource detection, bin‑packing optimization, scheduling efficiency, build tenant‑level Kubernetes cost attribution and dashboards.
• GenAI & Azure OpenAI Cost Optimization: Optimize token consumption, prompt engineering efficiency, model selection strategies, context window utilization, embedding/vector database cost; implement AI governance, usage metering, quota management, cost guardrails, token forecasting models, analyze AI workload ROI and business value realization.
• Tenant‑Level Usage Tracking & Chargeback: Design tenant‑level metering systems for API usage, AI token consumption, Kubernetes namespaces, GPU consumption, storage utilization, data pipeline execution; build showback dashboards, chargeback engines, department‑level cost transparency; ensure accurate tagging, allocation, reconciliation mechanisms.
• Data/Feature Engineering & Pipeline Optimization: Architect scalable, cost‑optimized data pipelines; optimize ETL/ELT workloads, streaming pipelines, data lake storage tiers, retention policies, query optimization; implement data observability and cost intelligence frameworks.

Preferred Knowledge

• Azure OpenAI Service, Vector DBs, RAG, GPU optimization, AI inferencing economics.
• Databricks, BigQuery.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 6+ years of experience in Cloud engineering, FinOps, or DevOps roles.
• 3+ years in FinOps or cloud financial governance.
• Deep understanding of cloud billing models, pricing structures, and cost optimization strategies.
• Hands‑on experience with AWS Cost Explorer, Azure Cost Management, GCP Billing, and FinOps tools like CloudHealth, CloudZero, etc.
• Strong analytical skills with proficiency in Data & Visualization: SQL, Python, Power BI / Tableau / Grafana, cost analytics dashboards.
• FinOps Certified Practitioner or similar certification is a plus.
• End‑to‑end understanding of how cloud‑based web applications work and their architecture.
• Experience with Docker and Kubernetes in production.
• Experience with automation tools like Terraform or Ansible.
• Exposure to AI platform economics.