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 be instrumental in driving our infrastructure reliability while ensuring our AI systems are secure and efficient. The role encompasses the design, implementation, and management of systems that bolster our AI security framework. You will collaborate with cross-functional teams to optimize performance and troubleshoot complex issues, fostering a culture of continuous resilience and reliability within a fast-paced startup environment.
Job Responsibilities
- Design and implement SRE practices to enhance the reliability of AI infrastructure.
- Develop and enforce security policies to safeguard AI systems against vulnerabilities.
- Monitor system performance, availability, and latency, and take proactive measures to address potential issues.
- Conduct incident response and post-mortem investigations to improve system resilience.
- Collaborate with software engineers to build automated testing and deployment pipelines.
- Participate in on-call rotations for critical incident management and resolution.
- Mentor junior SREs and foster a culture of knowledge sharing and continuous learning.
- Engage with stakeholders to understand business needs and adapt infrastructure accordingly.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
- Minimum of 5 years of experience in Site Reliability Engineering or equivalent role.
- Strong expertise in cloud infrastructure (AWS, Azure, GCP) with a focus on security implementations.
- Proficiency in coding/scripting languages (Python, Go, Ruby, etc.) for automation.
- In-depth knowledge of AI/ML systems and relevant security practices.
- Experience with container orchestration technologies such as Kubernetes or Docker.
- Strong analytical and problem-solving abilities, with attention to detail.
- Excellent communication and collaboration skills in cross-functional teams.
Technologies & Tools
The Principal SRE will work with a variety of tools and technologies, including cloud platforms such as AWS, Azure, or GCP; container management solutions like Kubernetes and Docker; monitoring tools like Prometheus and Grafana; and scripting languages including Python and Go. Familiarity with CI/CD pipelines and security frameworks specific to AI systems is essential to ensure robust operations.
Ideal Candidates
The ideal candidate for the Principal SRE role will possess a deep passion for technology combined with a strategic mindset. They will be proactive, self-driven, and able to thrive in dynamic environments. Exceptional problem-solving skills, along with the ability to communicate complex technical concepts clearly and effectively, are vital. Moreover, candidates should demonstrate a solid commitment to fostering a culture of collaboration and continuous improvement within the team.
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