Adobe is looking to solve the business and technical problem of providing financial guidance, operational strategies, and technical insights to drive transparency in costs, optimize resources, and foster sustainable cloud growth through FinOps solutions.
Requirements
- Strong skills in Python or other modern programming languages.
- Practical involvement with backend services, microservices, RESTful APIs, and data ingestion pipelines.
- Proficiency with SQL and NoSQL databases, including designing and scaling solutions for high performance and reliability.
- Proficiency in implementing and handling solutions in AWS and Azure.
- Familiar with core services: compute , storage, networking, monitoring, and automation.
- Understanding of distributed systems, high-availability architectures, and troubleshooting in large-scale Linux and Windows environments.
- Proficiency with AI-powered developer tools (Cursor, Copilot, etc.) to generate, refactor, and accelerate code delivery.
Responsibilities
- Develop high-performance, reliable, and maintainable code that meets our outstanding standards, and participate in all aspects of software development including design, coding, code review, testing, bug fixing, and code/API documentation.
- Formulate, broaden, and advance microservice solutions to elevate performance on AWS and Azure clouds, and enhance tools for managing infrastructure data.
- Solve complex technical problems related to large-scale cloud cost, utilization , and performance data aggregation, workflow automation, and actionable reporting, and collaborate with cross-functional engineering and platform teams to establish and maintain guidelines for cloud cost governance, rightsizing, and performance monitoring.
- Build robust backend services for scalable, reliable data pipelines and dashboards supporting financial and operational decision-making.
- Integrate optimization and governance features into AI workflows for enhanced anomaly detection, forecasting, and recommendations.
- Stay ahead of industry trends in cloud performance engineering and automation and apply innovations where appropriate .
- Creating and managing automation tools for processing and analyzing infrastructure and resource usage data.
Other
- B.S. in Computer Science or equivalent experience, with 1–2 years of professional experience in software or cloud engineering (3+ years preferred).
- Background in developing large-scale systems, technical operations processes, and supporting new services.
- Strong communication and collaboration skills to work across finance, operations, and engineering teams.
- Ability to thrive in dynamic environments with shifting priorities, making decisions guided by policies and business goals.
- Self-driven, conscientious, and committed to attaining quantifiable cost reductions and performance improvements.
