Principal SRE (AI Security / Startup)

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Jobot, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Principal Site Reliability Engineer (SRE) with a focus on AI Security at Jobot will play a crucial role in establishing and maintaining robust security protocols and practices within our engineering teams. The ideal candidate will lead initiatives to improve system reliability and performance, ensuring that our AI products are secure and resilient. Working closely with cross-functional teams, you will provide guidance on the implementation of security measures, conduct risk assessments, and promote best practices in software development and operations.

Job Responsibilities

• Design, implement, and maintain SRE standards tailored for AI-related projects, focusing on security and reliability.
• Collaborate with engineering teams to develop and enforce security guidelines and practices across the software development lifecycle.
• Monitor system performance and security, identifying areas for improvement and implementing necessary changes.
• Lead incident response efforts and conduct root cause analysis to prevent future occurrences of security vulnerabilities.
• Facilitate training sessions and workshops to educate teams on best practices in security and reliability.
• Stay updated on industry trends and emerging technologies in AI security to proactively address potential risks.
• Assist in developing tools and automation strategies to enhance operational efficiency and streamline security processes.

Qualifications

• Master’s degree in Computer Science, Engineering, or a related field; relevant experience may be considered in lieu of formal education.
• 7+ years of experience in Site Reliability Engineering, DevOps, or similar roles, with a strong emphasis on security.
• Demonstrated expertise in analyzing and implementing security protocols for AI systems.
• Proficient in programming languages such as Python, Go, Java, or C++, with a focus on security best practices.
• Solid understanding of cloud services (AWS, Azure, GCP) and associated security architectures.
• Experience with configuration management and orchestration tools (e.g., Terraform, Ansible, Kubernetes).
• Excellent problem-solving skills and a systematic approach to troubleshooting complex systems.

Technologies & Tools

The Principal SRE will engage with a diverse set of technologies and tools that include cloud platforms (AWS, Azure, GCP), monitoring solutions (Prometheus, Grafana), CI/CD pipelines (Jenkins, GitLab CI), and automation frameworks (Terraform, Ansible). Familiarity with containerization and orchestration tools like Docker and Kubernetes is essential, as well as security frameworks and tools relevant to AI environments for enhanced system protection.

Ideal Candidates

Ideal candidates for the Principal SRE position will possess a strong analytical mindset with an inherent ability to approach challenges creatively. They should demonstrate exceptional communication skills to articulate complex ideas effectively to both technical and non-technical stakeholders. Candidates should be proactive, with a passion for continuous learning and a commitment to driving innovations in security and reliability for AI systems. A collaborative spirit and the ability to work seamlessly in agile environments will also set the right candidate apart.