Principal SRE (AI Security / Startup)

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Job Overview

As a Principal Site Reliability Engineer (SRE) specializing in AI security at Jobot, you will play a pivotal role in designing and implementing robust and secure infrastructures for advanced AI systems in a startup environment. You will lead efforts in building scalable systems while ensuring their security, reliability, and performance. Your expertise will guide teams in adopting best practices for resilience engineering, incident management, and continual improvement processes associated with AI applications and services.

Job Responsibilities

• Design, implement, and maintain the infrastructure necessary to support secure AI operations.
• Develop and enforce SRE best practices focused on security for AI applications and systems.
• Collaborate with engineering teams to identify, evaluate, and implement appropriate tools and solutions.
• Participate in incident response and post-incident analyses, leading the team's learning efforts.
• Monitor system performance and reliability while identifying potential security vulnerabilities.
• Provide mentorship and guidance to junior SREs and engineering personnel on security protocols and practices.
• Establish metrics for system reliability, operational efficiency, and performance improvement.
• Engage in capacity planning and system architecture reviews to enhance future scalability.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; a Master's degree is preferred.
• A minimum of 7 years of experience in Site Reliability Engineering or a similar role, with a focus on security.
• Strong understanding of cloud services and infrastructure (AWS, Azure, GCP).
• Proficiency in programming and scripting languages such as Python, Go, or Java.
• Experience with containerization technologies (Docker, Kubernetes) and CI/CD tools.
• Knowledge of AI/machine learning frameworks and challenges associated with their deployment.
• Proven track record in implementing security measures in software development life cycles.
• Excellent communication skills and ability to articulate technical concepts to non-technical stakeholders.

Technologies & Tools

This role will leverage a diverse range of technologies and tools, including but not limited to: AWS, Google Cloud Platform (GCP), Docker, Kubernetes, Terraform, Prometheus, Grafana, Splunk, and various programming languages such as Python and Go. Familiarity with CI/CD pipelines and security automation frameworks will also be essential in developing secure and reliable AI systems.

Ideal Candidates

The ideal candidate will possess a mix of technical expertise and leadership skills, demonstrating the ability to navigate the complexities of a fast-paced startup environment. Strong analytical and problem-solving abilities, along with a proactive approach towards security and resilience in AI applications, are crucial. A collaborative spirit, combined with excellent communication skills, will ensure successful relationships with cross-functional teams. Passion for continuous learning and improvement in security and reliability engineering practices will distinguish exceptional candidates in this role.