Senior FinOps Engineer

About Us

Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators.

Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.

For more information, visit

We are seeking a highly analytical and hands‑on Senior Fin Ops Engineer to lead and mature our cloud and infrastructure financial management capabilities across GCP, AWS, and on‑prem environments. As part of our talented infrastructure team, you will drive cost transparency, optimize cloud spend at scale, and partner with engineering, product, and finance teams to ensure that Xsolla’s global infrastructure is efficient, predictable, and aligned with business priorities.

The ideal candidate brings a deep technical understanding of modern cloud platforms (GCP / AWS)—and experience working in Kubernetes‑centric environments. You excel at turning complex usage patterns into actionable insights, influencing technical teams, and establishing a culture of cost accountability and data‑driven decision‑making. You balance tactical optimizations with long‑term architectural improvements and know how to navigate both engineering conversations and executive discussions.

If you’re passionate about building scalable Fin Ops practices in a fast‑growing, product‑led company—and want to directly impact how we run and scale our global platform—we’d love to hear from you.

• 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 Fin Ops 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 Fin Ops 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 Fin Ops maturity

• 5+ years of experience in cloud infrastructure, platform engineering, SRE, or Dev Ops 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, Big Query, AWS CUR, 3rd party cost monitoring tools (Kubecost, Cloud Health), cost monitoring features in observability tools, custom dashboards, etc.)
• Strong analytical and data‑engineering skills, able to build dashboards, SQL‑based pipelines, and…