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) specializing in AI Security at Jobot, you will play a pivotal role in ensuring the reliability, availability, and performance of our AI-driven applications and services. Your leadership will guide cross-functional teams in implementing best practices for SRE, designed specifically to advance our security posture in an innovative startup ecosystem. You will oversee critical incident management, drive the automation of operational tasks, and contribute to strategic planning, all while fostering a culture of collaboration and continuous improvement.
Job Responsibilities
- Design, implement, and manage AI security protocols to protect applications from a variety of threats.
- Lead incident response efforts and post-incident reviews to ensure continuous improvement.
- Collaborate closely with development teams to incorporate reliability into the software development lifecycle.
- Establish monitoring solutions and performance metrics to provide service health visibility.
- Drive automation initiatives to improve operational efficiency and reduce manual intervention.
- Develop and maintain documentation related to processes, best practices, and incident responses.
- Mentor junior SREs and contribute to building a robust team culture focused on reliability and security.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred.
- Minimum of 8 years experience in Site Reliability Engineering or a related field, with a focus on AI security.
- Proficiency in programming languages such as Python, Go, or Java.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and container orchestration systems like Kubernetes.
- Solid understanding of security protocols, network security, and threat modeling.
- Strong analytical skills with a focus on problem-solving and proactive risk management.
- Excellent communication skills, with the ability to collaborate effectively across teams and stakeholders.
Technologies & Tools
The Principal SRE will primarily work with a suite of technologies and tools that enhance both reliability and security. This includes cloud infrastructure tools such as AWS and GCP, container orchestration platforms like Kubernetes, CI/CD pipelines for deployment automation, monitoring and alerting tools such as Prometheus and Grafana, and security frameworks compatible with AI applications. Familiarity with infrastructure as code (IaC) tools like Terraform or Ansible is also advantageous.
Ideal Candidates
The ideal candidate possesses a deep understanding of both site reliability and the complexities of AI security. They should demonstrate strong leadership abilities, driving collaboration and innovation across teams. Resilience under pressure and a proactive approach to problem-solving are essential characteristics, as well as an eagerness to stay updated with the latest industry trends in AI and security. A commitment to building a culture of continuous improvement and operational excellence will further distinguish successful candidates in this dynamic startup environment.
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