Site Reliability Engineer, AI/ML Platforms

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Job Overview

The Site Reliability Engineer (SRE) for AI/ML Platforms at Adobe is responsible for ensuring the reliability, performance, and scalability of our cutting-edge AI and Machine Learning solutions. The ideal candidate will work collaboratively with cross-functional teams to design, implement, and maintain distributed systems that support our AI initiatives. This role demands a proactive approach to monitoring, incident handling, automation, and performance optimization while contributing to a culture of innovation and continuous improvement within the organization.

Job Responsibilities

• Design, implement, and maintain SRE practices and methodologies for AI/ML platforms.
• Monitor system performance, troubleshoot issues, and execute incident response practices to ensure high availability.
• Automate repetitive tasks and processes to enhance operational efficiency.
• Collaborate with software engineers to optimize application performance and reliability.
• Implement observability best practices and tools to provide real-time insights into system performance.
• Conduct capacity planning and manage the lifecycle of infrastructure components.
• Develop documentation and training materials for scalability best practices.
• Participate in on-call rotations to provide 24/7 support for production systems.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in Site Reliability Engineering or equivalent roles.
• Proficient with programming languages such as Python, Go, or Java.
• Experience with container orchestration tools like Kubernetes.
• Strong understanding of cloud services, especially AWS, Azure, or Google Cloud.
• Hands-on experience with monitoring and logging tools such as Prometheus, Grafana, ELK stack, or similar.
• Familiarity with Machine Learning frameworks and tools is highly advantageous.
• Excellent problem-solving skills and the ability to work under pressure.

Technologies & Tools

The Site Reliability Engineer for AI/ML Platforms at Adobe will utilize various technologies and tools to ensure the reliability and performance of our systems. This includes cloud platforms such as AWS, Kubernetes for container orchestration, Prometheus and Grafana for monitoring solutions, and various programming languages like Python and Go for scripting and automation. Familiarity with Machine Learning frameworks such as TensorFlow or PyTorch may also be required to support our AI initiatives effectively.

Ideal Candidates

Ideal candidates for this position will possess a strong technical foundation combined with an ability to work collaboratively within cross-functional teams. They should demonstrate adaptability to evolving technologies and processes related to AI/ML platforms. Excellent communication skills, a proactive attitude towards problem-solving, and a commitment to maintaining high standards of quality and performance will be key to success in this role.