Site Reliability Engineer (SRE) Intern

About the Team/Role 

WEX seeks a curious and driven Site Reliability Engineer (SRE) Intern who is passionate about applying AI/ML to improve system reliability. This role will be with our SRE team. As an SRE Intern with an AI focus, you will have the opportunity to contribute to real-world projects that leverage cutting-edge AI/ML techniques to enhance the reliability and performance of our systems.  Our team fosters a collaborative and innovative environment where you can learn from experienced engineers and make a tangible impact. This internship offers a unique opportunity to gain practical experience at the intersection of SRE and AI.
 

How you'll make an impact

• Collaboratively contribute to developing and improving AI-driven automation tools and scripts for system management and deployment.
• Proactively research and evaluate new technologies and tools, including AI/ML frameworks and platforms, to identify opportunities for enhancing system reliability and efficiency.
• Creatively explore and implement machine learning algorithms and techniques for anomaly detection, predictive maintenance, and automated root cause analysis.
• Effectively participate in incident response and troubleshooting, learning to identify and resolve issues quickly and efficiently while considering how AI/ML could improve these processes.
• Document processes, procedures, and troubleshooting steps.
• Collaborate with development, operations, and other teams to ensure system reliability and performance, including exploring potential AI/ML collaborations.
• Contribute to post-incident reviews, investigating how AI/ML could have prevented or mitigated incidents.
• Continually learn and apply SRE principles and best practices, focusing on how AI can be integrated to improve system reliability.
   

Experience you'll bring 

• Currently pursuing a Bachelor's degree in Computer Science, Engineering, or a related field with a focus on Machine Learning/Artificial Intelligence.
• Educational experience working with machine learning algorithms and techniques.
• Basic understanding of operating systems (Linux preferred) and networking concepts.

Preferred Qualifications

• Familiarity with scripting languages (e.g., Python, Bash).
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Contributions to open-source projects, especially in AI/ML or SRE.