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) focused on AI Security at Jobot, you will play a crucial role in ensuring the operational excellence and security of our cutting-edge AI systems. You will lead the design, implementation, and maintenance of reliable and scalable infrastructure while collaborating closely with cross-functional teams. Your expertise will be pivotal in establishing best practices, monitoring systems, and incident response protocols as we strive to deliver secure AI solutions in a fast-paced startup environment.
Job Responsibilities
- Designing and implementing robust and scalable infrastructure to support AI-driven applications.
- Collaborating with engineering teams to integrate security protocols and best practices into the development lifecycle.
- Leading incident response efforts, conducting post-mortems, and driving continuous improvement initiatives.
- Developing monitoring and alerting strategies to ensure system reliability and performance.
- Conducting regular security assessments and vulnerability testing to mitigate risks.
- Coaching and mentoring junior SREs and cross-functional teams on SRE practices and tools.
- Participating in on-call rotations to support the 24/7 availability of critical systems.
- Documenting processes and creating knowledge-sharing resources for the team.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in Site Reliability Engineering or related disciplines.
- Strong understanding of AI technologies and security principles.
- Proficiency in cloud services such as AWS, Azure, or Google Cloud Platform.
- Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation.
- Familiarity with container orchestration tools (e.g., Kubernetes, Docker).
- Demonstrated knowledge of CI/CD pipelines and automation strategies.
- Excellent problem-solving skills and the ability to work under pressure.
- Strong communication and interpersonal skills.
Technologies & Tools
In this role, you will engage with a variety of technologies and tools essential for SRE functions. This includes using cloud infrastructure providers like AWS, Azure, or Google Cloud Platform for deployment and scalability, along with tools such as Terraform for infrastructure management. You will also work with monitoring solutions like Prometheus, Grafana, and ELK Stack to ensure operational visibility. Additionally, you will utilize CI/CD tools such as Jenkins, GitLab CI, or CircleCI to automate deployment processes and adhere to security practices during development.
Ideal Candidates
The ideal candidate for this position will possess a robust technical foundation paired with strong leadership qualities. They should be self-motivated, with an innovative mindset and the ability to thrive in a dynamic startup environment. A profound commitment to security and reliability, excellent critical thinking skills, and the capability to communicate effectively with both technical and non-technical stakeholders are essential. Candidates who are adaptable, eager to learn, and passionate about driving improvements in AI security will excel in this position.
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