Full Time

Principal SRE (AI Security / Startup)

Jobot
$150,000 - $200,000* / year

Job Description

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

As a Principal Site Reliability Engineer (SRE) focused on AI Security at Jobot, you will play a critical role in ensuring the robustness, security, and scalability of our AI-driven solutions. You will lead initiatives to optimize system performance, enhance reliability, and implement security best practices, acting as a key liaison between development, operations, and security teams. Your expertise will guide our infrastructure strategy, as well as the deployment of innovative AI technologies, shaping the future of our platform in a dynamic startup environment.



Job Responsibilities

  • Design and implement scalable, reliable, and secure infrastructure for AI-powered applications.
  • Lead incident response efforts and drive post-incident reviews to continually improve system resilience.
  • Develop and maintain CI/CD pipelines, ensuring rapid and reliable deployment of software.
  • Collaborate with cross-functional teams to identify and mitigate security vulnerabilities in our services.
  • Monitor system performance and reliability metrics, leveraging automation for operational tasks.
  • Establish and promote best practices for SRE and AI security within the organization.
  • Conduct training sessions and workshops for internal teams on security compliance and incident management.


Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
  • Minimum of 7 years of experience in Site Reliability Engineering or a related field.
  • Strong knowledge of cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
  • Solid experience with security frameworks and practices related to AI and data privacy.
  • Proficient in scripting languages such as Python, Bash, or equivalent.
  • Experience with configuration management and automation tools (Terraform, Ansible, etc.).
  • Demonstrated ability to mentor junior engineers and lead technical projects.


Technologies & Tools

In this position, you will work with a suite of technologies and tools, including but not limited to: cloud platforms such as AWS and Google Cloud; containerization technologies like Docker and Kubernetes; monitoring tools like Prometheus and Grafana; security frameworks that incorporate best practices for safeguarding AI systems; as well as CI/CD tools such as Jenkins, CircleCI, and GitLab.



Ideal Candidates

The ideal candidate for this role will exhibit a strong blend of technical acumen and leadership qualities. You should possess excellent problem-solving skills, a deep understanding of site reliability and security paradigms, and a proactive approach to finding innovative solutions. Being a strong communicator and collaborator is essential, as you will work closely with various teams to drive security initiatives. A passion for emerging technologies and a commitment to maintaining operational excellence will further distinguish you as the perfect fit for Jobot’s dynamic environment.

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