Remotery

FinOps Engineer

Posted May 21

This is a fully remote position, open to applicants in Malaysia.

📋 Description

• Oversee the strategy for cloud cost optimization across GCP, AWS, and on-premises infrastructure to ensure efficiency, transparency, and financial predictability.

• Examine compute, storage, networking, and Kubernetes resource utilization to pinpoint actionable opportunities for cost savings without sacrificing performance or reliability.

• Develop and sustain forecasting models, dashboards, and automated reporting tools that offer real-time insights into cost drivers and trends across various teams and services.

• Create and enforce tagging/labeling standards, budgeting procedures, and governance policies to foster accountability across the organization.

• Work closely with Engineering, Finance, and Product teams to guide decisions on workload placement, architecture, and scaling strategies.

• Promote the adoption of FinOps best practices, including rightsizing, reservation planning, autoscaling optimizations, multi-cloud efficiency, and cost-effective storage methodologies.

• Design and enhance internal tools, automation, and pipelines for monitoring costs, detecting anomalies, and attributing usage across Kubernetes clusters, virtual machines, and physical servers in both data centers and cloud environments.

• Champion a cost-aware culture by training engineering teams, conducting FinOps reviews, and sharing insights with both technical and non-technical stakeholders.

• Keep abreast of the latest cloud pricing models, vendor offerings, and industry trends to continuously advance Xsolla’s FinOps maturity.


⛳️ Requirements

• A minimum of 5 years of experience in cloud infrastructure, platform engineering, SRE, or DevOps roles with a strong emphasis on cost optimization.

• Practical experience with GCP (preferred) and AWS, along with a solid understanding of cloud pricing models, resource types, and cost management tools.

• Comprehensive knowledge of Kubernetes resource allocation, autoscaling, workload placement, and cost attribution within distributed environments.

• Expertise in cloud cost management tools (GCP Billing exports, BigQuery, AWS CUR, third-party cost monitoring tools like Kubecost and CloudHealth, observability tool features, custom dashboards, etc.).

• Strong analytical and data engineering capabilities, with the ability to construct dashboards, SQL-based pipelines, and forecasting models.

• Experience in driving cross-functional initiatives and influencing engineering, product, and finance stakeholders.

• Exceptional communication skills, capable of translating technical concepts into business-oriented recommendations.

• Proficient in English, both written and verbal.


🏝️ Benefits

• Medical coverage

• Dental coverage

• Vision coverage

• Paid Time Off (PTO)

• A personalized career roadmap for each employee

• Investment in professional development through training and educational opportunities

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