Principal SRE (AI Security / Startup)

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Job Overview

As a Principal Site Reliability Engineer (SRE) specializing in AI Security at Jobot, you will play a pivotal role in ensuring the reliability and security of our AI-driven applications. This leadership position involves not only overseeing the infrastructure and system design but also guiding a talented team towards best practices in AI security and reliability engineering. You will collaborate closely with cross-functional teams to implement robust security measures, optimize system performance, and drive innovation in operational processes, thus enhancing the overall quality and trustworthiness of our platform.

Job Responsibilities

• Design, implement, and manage scalable, reliable, and secure cloud infrastructure.
• Lead the development of best practices for AI security, ensuring data integrity and safety across all operations.
• Collaborate with software engineers to improve system performance and reliability through effective monitoring and troubleshooting.
• Establish incident response protocols and conduct post-mortem analysis to improve system resilience.
• Mentor and guide junior engineers in executing robust SRE practices.
• Develop automation tools and scripts for maintaining infrastructure efficiency.
• Work closely with Product, Engineering, and Security teams to align SRE practices with project requirements.
• Stay updated with the latest trends in AI security and reliability engineering to implement cutting-edge solutions.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; a Master's degree is a plus.
• 8+ years of experience in Site Reliability Engineering, DevOps, or a related role, with a focus on software and system security.
• Strong programming skills in relevant languages such as Python, Go, or Java.
• Extensive experience with automation and orchestration tools, such as Kubernetes, Docker, and Terraform.
• Proficiency in cloud platforms like AWS, Azure, or Google Cloud with a strong understanding of cloud security principles.
• Expertise in implementing monitoring and logging solutions using tools like Prometheus, Grafana, or ELK stack.
• Effective communication skills with a demonstrated ability to work in cross-functional teams.
• Strong analytical and problem-solving abilities, with a proactive approach to identifying and mitigating risks.

Technologies & Tools

This position will require proficiency with various technologies and tools essential for maintaining secure and reliable AI infrastructure. Key tools include cloud service platforms (AWS, Azure, Google Cloud), containerization technology (Docker, Kubernetes), automation tools (Terraform, Ansible), monitoring solutions (Prometheus, Grafana, ELK stack), and programming languages primarily focused on backend development and system automation.

Ideal Candidates

The ideal candidate for the Principal SRE (AI Security) position will be an innovative thinker with a strong background in security best practices applied in AI environments. They should possess a strategic mindset, capable of aligning technical decisions with business objectives, and demonstrate a passion for mentoring others and promoting a culture of reliability and security within the team. Excellent interpersonal skills, a collaborative spirit, and the ability to thrive in a fast-paced startup environment are essential traits of a successful candidate.