Automation Anywhere

1 week ago

Staff Cloud FinOps Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Drive multi-cloud FinOps and cost governance across Azure, AWS, and GCP, improving cloud profitability and tenant-level usage accountability for AI-powered platforms. Lead architectural deep-dives on high-spend services, build automated governance guardrails with Infrastructure as Code, and translate savings targets into technical backlogs. Own forecasting, KPI frameworks, executive dashboards, and Kubernetes cost optimization. Optimize GenAI costs (tokens, prompt efficiency, model selection) and design showback/chargeback metering systems.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Conduct deep-dive architectural reviews of high-spend services and provide code-level/infrastructure recommendations for cost optimization.
•Oversee scripts and Infrastructure as Code (Terraform) to implement governance guardrails and automate detection/remediation of cost leaks.
•Build cloud financial forecasting models, KPI frameworks (e.g., cost per tenant/transaction/AI request), and executive FinOps dashboards; partner with Finance and Engineering for monthly reviews.
•Lead Kubernetes FinOps initiatives for enterprise-scale clusters, optimizing utilization, autoscaling, spot/preemptible workloads, and GPU allocation with tenant-level cost attribution.
•Optimize GenAI/AI costs (token consumption, prompt efficiency, model selection, context window utilization) and design tenant-level metering plus showback/chargeback engines. “
•architect scalable, cost-optimized data pipelines and optimize ETL/ELT, streaming, storage tiers, retention, and query performance; implement data observability and cost intelligence frameworks.

Key Requirements

•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; strong skills in SQL, Python, and BI/visualization tools.

Experience:6+ years

Education:Bachelor's in Computer Science, Data Engineering, or related field

Skills:Analytical skillsData-driven decision makingTechnical advisoryCross-functional partnership

Certifications:FinOps Certified Practitioner

Tech Stack:AzureAWSGCPKubernetesDockerTerraformAnsiblePythonBashSQLPower BITableauGrafanaKubecostOpenCostPrometheusAKSEKSGKEKarpenter

Company Brief

Automation Anywhere

Provides robotic process automation (RPA) software and AI-driven automation platforms that enable enterprises to automate repetitive business processes, integrate systems, and scale digital workforce initiatives across industries.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: San Jose, United States

Founded: 2003

Glassdoor: 3.9

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Automation Anywhere

1 week ago

Staff Cloud FinOps Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Conduct deep-dive architectural reviews of high-spend services and provide code-level/infrastructure recommendations for cost optimization.
•Oversee scripts and Infrastructure as Code (Terraform) to implement governance guardrails and automate detection/remediation of cost leaks.
•Build cloud financial forecasting models, KPI frameworks (e.g., cost per tenant/transaction/AI request), and executive FinOps dashboards; partner with Finance and Engineering for monthly reviews.
•Lead Kubernetes FinOps initiatives for enterprise-scale clusters, optimizing utilization, autoscaling, spot/preemptible workloads, and GPU allocation with tenant-level cost attribution.
•Optimize GenAI/AI costs (token consumption, prompt efficiency, model selection, context window utilization) and design tenant-level metering plus showback/chargeback engines. “
•architect scalable, cost-optimized data pipelines and optimize ETL/ELT, streaming, storage tiers, retention, and query performance; implement data observability and cost intelligence frameworks.

Key Requirements

•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; strong skills in SQL, Python, and BI/visualization tools.

Experience:6+ years

Education:Bachelor's in Computer Science, Data Engineering, or related field

Skills:Analytical skillsData-driven decision makingTechnical advisoryCross-functional partnership

Certifications:FinOps Certified Practitioner

Tech Stack:AzureAWSGCPKubernetesDockerTerraformAnsiblePythonBashSQLPower BITableauGrafanaKubecostOpenCostPrometheusAKSEKSGKEKarpenter

Company Brief

Automation Anywhere

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: San Jose, United States

Founded: 2003

Glassdoor: 3.9

Website LinkedIn