Job Description
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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
As a Principal Site Reliability Engineer (SRE) focusing on AI Security at Jobot, you will be instrumental in enhancing the reliability, scalability, and security of our cutting-edge AI-driven infrastructure. You will lead a team of engineers to establish best practices in site reliability and security, proactively assess vulnerabilities, and innovate resilient solutions to safeguard our AI systems. Your expertise will contribute to the continuous improvement of our processes, ensuring high availability and performance in a dynamic startup environment.
Job Responsibilities
- Lead the design, implementation, and management of robust site reliability practices for AI systems.
- Collaborate with cross-functional teams to develop security protocols for AI applications.
- Monitor system performance, reliability, and security, identifying areas for improvement.
- Develop incident response plans and facilitate post-incident reviews.
- Implement automation tools to enhance system reliability and operational efficiency.
- Conduct regular security assessments and vulnerability tests on AI infrastructure.
- Mentor and guide junior SRE team members in best practices and methodologies.
- Stay ahead of industry trends in site reliability and AI security through continuous learning and professional development.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- A minimum of 8 years of experience in Site Reliability Engineering, DevOps, or related role.
- Extensive knowledge of security principles, practices, and tools specifically for AI applications.
- Proficiency in scripting and programming languages such as Python, Go, or Java.
- Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).
- Strong understanding of networking, databases, and distributed systems.
- Proven experience with monitoring and observability tools such as Prometheus or Grafana.
- Excellent problem-solving skills and the ability to work under pressure in a fast-paced environment.
Technologies & Tools
The Principal SRE will engage with a diverse array of technologies and tools which may include cloud computing platforms such as AWS, Azure, or GCP, container orchestration platforms like Kubernetes, monitoring and observability tools such as Prometheus and Grafana, along with a variety of security tools relevant for AI applications. Familiarity with configuration management systems and CI/CD pipelines will also be essential to ensure top-tier reliability and security within our infrastructure.
Ideal Candidates
The ideal candidate for this position will possess a deep-seated passion for technology and security, coupled with a proactive attitude towards problem-solving. They will demonstrate excellent communication skills, enabling them to convey complex technical concepts to non-technical audiences. A clear ability to lead teams and mentor junior engineers is crucial, as is an innate curiosity and dedication to continuous improvement within the field of site reliability and AI security.
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