דרושים FinOps Engineer בתל אביב

Appcharge is the direct-to-consumer platform for mobile games.

We help game studios sell digital goods directly to their players - skipping the 30% store commissions from Apple and Google. That means more revenue for studios, and a closer connection to the players who love their games.

Appcharge powers web stores and in-app payments for over a third of the world’s top-grossing mobile titles. Backed by $89M from leading investors and publishers like Supercell and Playrix, we’ve grown 14x in the past year and now process over half a billion dollars annually.

We’re growing fast, building with intention, and helping the biggest names in gaming take back control of their business.

As a FinOps Engineer you will take ownership of cloud & SaaS cost visibility, optimization, and governance across our multi-cloud (AWS + GCP) environment.

This role will work closely with DevOps, Engineering and Finance teams to ensure we scale efficiently, maintain high performance, and meet budget goals while supporting rapid growth.

Responsibilities

• Implement and maintain cost tracking dashboards across AWS, GCP, and SaaS platforms.
• Create cost allocation tagging standards to enable team-level visibility.
• Develop real-time alerting for abnormal spend spikes.
• Work with engineering teams to right-size infrastructure, optimize reserved instances/savings plans, and reduce unused capacity.
• Identify cost-saving opportunities in our cloud & SaaS solution..
• Recommend architecture patterns that balance performance, scalability, and cost.
• Establish cloud budget guardrails and enforce cost accountability across teams.
• Educate developers and engineering managers on cost-aware design and deployment practices.
• Build predictive models for future costs based on historical trends and scaling projections.
• Support product launches and migrations with cost impact assessments.

Requirements

• 5+ years of experience in cloud financial management with AWS and/or GCP.
• Hands-on experience with FinOps tools (CloudHealth, CloudZero, AWS Cost Explorer, GCP Billing).
• Strong understanding of Kubernetes, serverless, and event-driven architectures.
• Proven track record in cost optimization initiatives for large-scale cloud environments.
• Solid skills in data analysis using SQL, Python, or similar for cost reporting.