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
The Principal Site Reliability Engineer (SRE) at Jobot will play a pivotal role in ensuring the robustness, scalability, and security of our AI systems. This position entails designing and implementing strategies to enhance the reliability of our applications while collaborating closely with cross-functional teams. The ideal candidate will lead initiatives to secure our AI technologies against emerging threats, utilizing advanced engineering practices to uphold our commitment to excellence in AI security. Your expertise will guide the development of SRE best practices while fostering a culture of operational excellence and innovation within a dynamic startup environment.
Job Responsibilities
- Lead the design and implementation of infrastructure and tooling to improve reliability, scalability, and security of AI systems.
- Develop and maintain SRE best practices across the organization, focusing on operational efficiency and proactive monitoring.
- Collaborate with engineering teams to embed security practices into the development lifecycle of AI applications.
- Implement incident management procedures to mitigate downtimes and optimize response times to production incidents.
- Analyze system performance and reliability metrics to identify areas for improvement and implement actionable solutions.
- Drive automation initiatives to enhance system reliability, reduce operational overhead, and improve deployment processes.
- Conduct regular security assessments and system audits to ensure compliance with industry standards and regulations.
- Mentor and guide junior SRE team members, fostering a culture of continuous learning and improvement.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in site reliability engineering, systems administration, or cloud engineering roles.
- Strong understanding of security principles and practices in the context of AI technologies.
- Proficiency in scripting and programming languages such as Python, Go, or similar.
- Experience with container orchestration platforms (e.g., Kubernetes, Docker) and cloud services (e.g., AWS, Azure, GCP).
- Knowledge of CI/CD pipelines and configuration management tools (e.g., Terraform, Ansible).
- Exceptional problem-solving skills and the ability to work effectively under pressure.
- Excellent communication and collaboration skills, with experience working in cross-functional teams.
Technologies & Tools
In this role, the Principal SRE will utilize a variety of technologies and tools including, but not limited to, cloud platforms such as AWS and Google Cloud, container orchestration tools like Kubernetes, CI/CD tools such as Jenkins or GitLab CI, and configuration management software including Terraform and Ansible. Security monitoring tools and analytics platforms will also be integral to the position, alongside programming languages such as Python and Go for automation and scripting tasks.
Ideal Candidates
The ideal candidates for this position are not only technically proficient but also possess a strong security mindset essential for safeguarding AI systems. They exhibit a proactive attitude towards identifying and mitigating risks, thrive in fast-paced environments, and are passionate about continuous improvement. Excellent collaboration and communication skills are crucial, as the role requires effective teamwork with diverse teams. Furthermore, candidates should demonstrate resilience and adaptability, essential qualities for navigating the challenges of a startup environment.
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