Lead the cloud cost optimization strategy across GCP, AWS, and on-prem infrastructure, ensuring efficiency, transparency, and financial predictability
Analyze compute, storage, networking, and Kubernetes resource usage to identify actionable cost-saving opportunities without compromising performance or reliability
Build and maintain forecasting models, dashboards, and automated reporting that provide real-time visibility into cost drivers and trends across teams and services
Develop and implement tagging/labeling standards, budgeting processes, and governance policies to enable cross-organizational accountability
Collaborate closely with Engineering, Finance, and Product to guide workload placement, architecture decisions, and scaling strategies
Drive adoption of FinOps best practices including rightsizing, reservation planning, autoscaling optimizations, multi-cloud efficiency, and cost-effective storage strategies
Create and refine internal tooling, automation, and pipelines for cost monitoring, anomaly detection, and usage attribution across Kubernetes clusters, virtual machines and physical servers, located both in datacenters and cloud providers
Advocate for a cost-aware culture by training engineering teams, running FinOps reviews, and communicating insights to both technical and non-technical stakeholders
Stay up to date with the latest cloud pricing models, vendor offerings, and industry trends to continuously evolve Xsolla’s FinOps maturity

5+ years of experience in cloud infrastructure, platform engineering, SRE, or DevOps roles with a strong focus on cost optimization
Hands-on experience with GCP (priority) and AWS; strong understanding of cloud pricing models, resource types, and cost management tooling
Deep knowledge of Kubernetes resource allocation, autoscaling, workload placement, and cost attribution in distributed environments
Proficiency with cloud cost tools (GCP Billing exports, BigQuery, AWS CUR, 3rd party cost monitoring tools (Kubecost, CloudHealth), cost monitoring features in observability tools, custom dashboards, etc.)
Strong analytical and data-engineering skills, able to build dashboards, SQL-based pipelines, and forecasting models
Experience driving cross-functional initiatives and influencing engineering, product, and finance stakeholders
Excellent communication skills with the ability to translate technical concepts into business-focused recommendations
Fluent in English (written and verbal)

FinOps Engineer

Key skills