Cloud Engineer 3 - Python, SQL

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 collaborative 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.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

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AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.