As a Computer Scientist at Adobe, you ll develop scalable cloud solutions focused on cost optimization, automation, and governance across AWS and Azure enhancing performance, efficiency, and compliance.
You will:
Develop automated solutions to improve the performance, optimize costs, and strengthen governance across cloud services (AWS & Azure).
Design and build scalable software and data analytics systems using modern engineering practices.
Create and maintain clear technical documentation to support collaboration and knowledge sharing.
Drive process simplification and partner across global teams to deliver impactful cloud projects.
Basic Qualifications
We are looking for candidates with a proven track record and a passion for technology. The ideal candidate will have:
5+ years of experience in designing and developing complex software and automation systems.
Strong experience in AWS or Azure, focused on optimizing cloud services for performance and cost.
Proficient in Python with solid understanding of modern development practices and automation.
Familiarity with DevOps and observability tools such as Grafana, NewRelic, Splunk, Jenkins, Git, Docker, Kubernetes, and Linux environments.
Strong communication skills , with the ability to articulate technical concepts clearly and collaborate across teams.
Self-driven, with the ability to make independent decisions and adapt in fast-changing, global environments.
Preferred Qualifications
While not required, the following qualifications will set you apart:
Experience applying AI or machine learning techniques to drive insights or automation in cloud environments.
Experience in NodeJS and React for developing cloud-integrated web applications and user interfaces.
Familiarity with FinOps tools and frameworks for driving cloud cost visibility and accountability.
Qualities
At Adobe, we value individuals who are:
Strong communicator with the ability to convey complex technical concepts clearly and effectively.
Adaptable and quick to learn new technologies, tools, and methodologies.
Self-motivated and capable of independently driving projects with minimal guidance.
Actively engaged in PoCs , technical blogging , or community contributions .
Contributes to a positive, collaborative work environment with a touch of humor.
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Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Blockchain Quality Assurance EngineerEmployement Type: Full time