Xsolla

Senior FinOps Engineer

Xsolla

full-time

Posted on:

Location Type: Remote

Location: Canada

Visit company website

Explore more

AI Apply
Apply

Salary

💰 CA$115,000 - CA$140,000 per year

Job Level

About the role

  • 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

Requirements

  • 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)
Benefits
  • 100% company-paid medical, dental, and vision plans
  • Flexible time off
  • Personalized career roadmap for each employee
  • Professional development through training and educational opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
cloud cost optimizationGCPAWSKubernetescost management toolingSQLdata engineeringforecasting modelsdashboardsresource allocation
Soft Skills
analytical skillscommunication skillscross-functional collaborationinfluencing stakeholderstrainingadvocacytranslating technical conceptscost-aware culture