Principal SRE (AI Security / Startup)

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Job Overview

The Principal Site Reliability Engineer (SRE) at Jobot will lead the implementation of cutting-edge AI security initiatives in a dynamic startup environment. This role involves designing, optimizing, and maintaining scalable systems while ensuring the safety and resilience of our AI applications. The Principal SRE will collaborate closely with cross-functional teams to establish best practices in security, reliability, and performance, driving forward our mission of delivering robust AI solutions that instill trust and compliance.

Job Responsibilities

• Design and implement secure, scalable, and reliable systems for AI applications.
• Monitor and troubleshoot incidents, ensuring prompt resolution and minimal downtime.
• Develop and enforce best practices for security and compliance across all platforms.
• Collaborate with engineering teams to integrate security measures into the development lifecycle.
• Conduct risk assessments, vulnerability management, and routine security audits.
• Optimize performance and reliability of cloud infrastructure and related services.
• Mentor junior engineers and promote a culture of continuous learning and improvement.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• Minimum of 7 years of experience as an SRE or in a related role focusing on security.
• Strong understanding of cloud architectures and services, particularly AWS, GCP, or Azure.
• Deep knowledge of security protocols, cryptography, and compliance standards (e.g., ISO 27001, GDPR).
• Experience with monitoring tools, incident management, and response frameworks.
• Proficiency in scripting and programming languages such as Python, Go, or Bash.
• Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Technologies & Tools

The Principal SRE will utilize various technologies and tools to ensure system reliability and security, including cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), CI/CD pipelines (Jenkins, GitLab), monitoring solutions (Prometheus, Grafana), and scripting languages (Python, Bash). A strong familiarity with security testing tools and frameworks is also essential to effectively implement and monitor secure practices.

Ideal Candidates

The ideal candidate for the Principal SRE role will possess a strong blend of technical acumen, leadership capabilities, and a strategic mindset toward security in AI applications. They will be proactive in identifying potential vulnerabilities and innovative in developing solutions. Effective communication skills and a collaborative approach are critical, as the role involves working with cross-functional teams and mentoring junior staff. Candidates should also demonstrate resilience in navigating the rapidly evolving startup landscape, accompanied by a passion for AI technology and commitment to security excellence.