Principal SRE (AI Security / Startup)

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Job Overview

Jobot is seeking a highly skilled Principal Site Reliability Engineer (SRE) specializing in AI Security to join our dynamic startup environment. In this pivotal role, you will leverage your extensive background in both site reliability engineering and AI security to design, implement, and oversee automated systems that ensure the security and reliability of our platform. You will collaborate closely with cross-functional teams to promote best practices in system reliability and security, fostering an innovative culture that enhances our product offerings while safeguarding user data and infrastructure integrity.

Job Responsibilities

• Design and implement highly resilient and secure systems for AI applications.
• Monitor system performance, reliability, and security in real-time.
• Develop and refine operational procedures, ensuring best practices are implemented across all teams.
• Collaborate with software development teams to integrate security measures throughout the software development lifecycle.
• Lead incident response and postmortem activities to continuously improve systems.
• Advise on governance frameworks related to AI security and compliance requirements.
• Conduct regular security audits and vulnerability assessments to proactively identify risks.
• Mentor junior engineers and promote a culture of learning within the team.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• Minimum of 7 years of experience in site reliability engineering, with a focus on AI-related projects.
• Strong understanding of AI security measures, vulnerabilities, and best practices.
• Proficiency in programming languages such as Python, Go, or Java.
• Extensive experience with cloud platforms, particularly AWS, Azure, or GCP.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.

Technologies & Tools

The ideal candidate will be proficient in a range of technologies and tools that are essential for maintaining secure and reliable systems. This includes cloud computing services (AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), scripting languages (Python, Go, Java), and monitoring tools (Prometheus, Grafana). Familiarity with CI/CD pipelines, version control systems (Git), and infrastructure as code (Terraform, Ansible) is also highly desirable.

Ideal Candidates

Strong candidates for this position will exhibit a proactive and analytical mindset, demonstrating the ability to navigate complex challenges in AI security and system reliability. They will possess excellent communication skills, allowing them to effectively collaborate across diverse teams and articulate technical concepts to both technical and non-technical stakeholders. A passion for innovation and continuous improvement, coupled with a commitment to fostering a culture of security and reliability, are key characteristics essential for success in this role.