Principal SRE (AI Security / Startup)

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

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

We are seeking a Principal Site Reliability Engineer (SRE) specializing in AI Security to join our dynamic team at Jobot. In this leadership role, you will be responsible for designing and implementing robust security practices that enhance the integrity of our AI systems. You will collaborate with multiple teams to create scalable infrastructure solutions, proactively manage risks, and ensure seamless service availability. As a Principal SRE, you will act as a mentor to junior engineers and play a vital role in formulating strategies that align with the company's security objectives and technological innovations.

Job Responsibilities

• Lead the design and implementation of AI security measures across the organization.
• Collaborate with engineering teams to identify and mitigate security risks in AI applications.
• Develop and maintain reliable, scalable, and secure infrastructure for AI workloads.
• Establish incident response protocols and monitor system health to ensure minimal downtime.
• Provide mentorship and guidance to junior engineers, promoting best practices in SRE and security.
• Conduct regular audits and assessments to ensure compliance with security standards and regulations.
• Stay informed about the latest trends in AI and cybersecurity to innovate security practices continually.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 8+ years of experience in Site Reliability Engineering, DevSecOps, or a related discipline.
• Proven expertise in implementing security protocols within cloud environments.
• Strong proficiency in programming languages such as Python, Go, or Java.
• Extensive knowledge of containerization technologies like Docker and orchestration tools such as Kubernetes.
• Experience with security tools and frameworks relevant to AI systems.
• Excellent communication and leadership skills, with the ability to work collaboratively across teams.

Technologies & Tools

In this role, you will work with a variety of cutting-edge technologies and tools. The primary platforms include cloud providers like AWS, GCP, or Azure, alongside configuration management tools such as Ansible and Terraform. You will also engage with security frameworks and services tailored for AI applications, as well as monitoring tools like Prometheus, Grafana, and ELK Stack for observability and alerting.

Ideal Candidates

The ideal candidate will possess a strategic mindset with strong problem-solving abilities. Successful applicants are typically proactive, have a deep technical understanding of system architecture, and are well-versed in AI technologies. Excellent interpersonal skills, enthusiasm for continuous learning, and the ability to guide and inspire others are characteristics that will set you apart. You should be committed to fostering an inclusive team environment and driving the integration of secure practices within fast-paced, innovative projects.