Site Reliability Engineer, AI/ML Platforms

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Job Overview

The Site Reliability Engineer (SRE) for AI/ML Platforms at Adobe plays a critical role in ensuring the reliability, availability, and performance of our AI and machine learning services. This individual will collaborate with cross-functional teams to build and enhance scalable systems, drive best practices in technology operations, and work towards automating processes to support Adobe's cloud solutions. The ideal candidate will leverage their expertise in SRE principles to contribute to the continuous improvement of our AI/ML platforms, ensuring that our services meet both business and user expectations.

Job Responsibilities

• Design, implement, and maintain scalable systems for AI/ML applications.
• Monitor system performance and reliability, proactively identifying issues and implementing solutions.
• Develop automation tools to enhance operational efficiency and reduce manual intervention.
• Collaborate with development teams to integrate reliability into the application lifecycle.
• Participate in on-call rotations and incident response, ensuring quick resolution of service disruptions.
• Perform root cause analysis of incidents and drive improvements based on findings.
• Document system architectures, processes, and procedures to maintain a knowledge base.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a Site Reliability Engineer, DevOps engineer, or similar role.
• Strong understanding of cloud computing platforms (e.g., AWS, Google Cloud, Azure).
• Proficient in container orchestration and microservices architecture (e.g., Kubernetes, Docker).
• Experience with monitoring tools (e.g., Prometheus, Grafana, Datadog).
• Programming skills in languages such as Python, Go, Java, or similar.
• Strong problem-solving skills and the ability to work under pressure.

Technologies & Tools

The Site Reliability Engineer will work with a variety of advanced technologies and tools to support AI/ML platforms. This includes cloud service providers like AWS and Google Cloud Platform, container orchestration technologies such as Kubernetes, CI/CD tools for deployment automation, monitoring systems including Prometheus and Grafana, and programming languages such as Python and Go to enhance operational processes and system architectures.

Ideal Candidates

Ideal candidates for the SRE position at Adobe are those who exhibit strong analytical abilities, innovative thinking, and adaptability to a fast-paced environment. They possess excellent communication skills, allowing them to collaborate effectively across various technical teams. Additionally, a proactive mindset towards continuous improvement and a passion for delivering high-quality, reliable services are crucial attributes that define the right candidate for this role.