Computer Scientist II DevOps
Adobe
Job Overview
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Job Description
Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
About the Team
Our engineering team is responsible for the Adobe Experience Platform, a foundational technology that provides innovative capabilities for data integration, governance, advanced analytics, and machine learning. This platform enables our customers to deliver outstanding digital experiences with high fidelity and velocity. By joining our team, you'll have the outstanding opportunity to work on world-class technology that supports thousands of customers globally.
What You'll Do as a Computer Scientist II DevOps
- Be involved in application development from inception to deployment and operations.
- Decide between Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) for extensive requirements.
- Investigate and resolve complex issues spanning the entire technology stack.
- Proactively improve key application metrics such as uptime, performance, and incident resolution time.
- Drive continuous improvement in areas like monitoring, automation, and performance tuning.
- Apply software engineering principles to scale systems and improve reliability.
- Practice balanced incident response and conduct blameless postmortems.
What You Need to Succeed
- MS/BS in Computer Science or equivalent experience is helpful but not required.
- Hands-on experience with public clouds like Azure or AWS.
- 7+ years of relevant experience.
- 6+ years managing document databases like MongoDB, Aerospike, or FoundationDB.
- Familiarity with developing AI Agents and bringing to bear A2A, MCP or equivalent experience.
- Proficiency in programming languages such as Java, Python, Go, Perl, or Ruby.
- Expertise in algorithms, data structures, and Unix/Linux systems.
- Experience with Docker, microservices, and container orchestration.
- Familiarity with monitoring tools like Grafana, Prometheus, and New Relic.
- Understanding of DevOps concepts like SLAs, SLOs, and error budgets.
- Preferred: Contributions to open-source big data projects or roles within the Apache Software Foundation or Cloud Native Computing Foundation.
Key skills/competency
- Public Cloud (Azure/AWS)
- Document Databases (MongoDB, Aerospike)
- Programming (Java, Python, Go)
- Docker/Microservices
- Container Orchestration
- Unix/Linux Systems
- Algorithms/Data Structures
- Monitoring Tools (Grafana, Prometheus)
- DevOps Principles (SLA, SLO)
- Big Data/Open Source
How to Get Hired at Adobe
- Research Adobe's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight experience with public clouds, document databases, and DevOps methodologies.
- Showcase technical expertise: Emphasize proficiency in Java, Python, Docker, and monitoring tools for scalable systems.
- Prepare for system design: Focus on architectural solutions for Big Data, fault tolerance, and high availability.
- Demonstrate problem-solving: Be ready to discuss complex issue resolution, incident management, and continuous improvement.
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