As a Cloud Automation Finops Engineer , you will help build automation, tooling, and data-driven solutions that improve cloud cost efficiency, resource utilization, and cost visibility across AWS and Azure. You will work closely with senior engineers and partner teams — to support FinOps and cloud optimization initiatives, gaining hands-on experience while growing your technical depth and impact.
Key Responsibilities
Build and enhance automation scripts, services, and data pipelines supporting cloud cost optimization and FinOps use cases.
Analyze cloud usage and cost data to help identify optimization opportunities and support data-driven decisions.
Partner closely with engineering, platform, and teams to align on requirements and drive shared cost-optimization initiatives across regions.
Innovate using AI to identify new cost optimization opportunities and detect spend and data anomalies.
Write and maintain clear user documentation to support information exchange and onboarding.
Technical Skills & Qualifications
Python and foundational software development practices.
SQL and basic data querying and analysis.
Git and team-oriented development workflows; Docker and containerized development concepts.
AWS and/or Azure, with exposure to infrastructure and resource management.
Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor) is a plus.
Experience & Background
4+ years experience in development experience in software engineering, cloud automation, or tooling.
Hands-on AWS or Azure cloud exposure
Interest in cloud cost efficiency, performance optimization, and FinOps concepts.
Collaboration & Communication
Communicates technical thinking clearly across distributed, cross-regional teams, including counterparts in US.
Comfortable working async and adjusting for time-zone overlap to keep initiatives moving.
Shows initiative while knowing when to seek guidance; open to feedback.
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