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) focusing on AI Security at Jobot, you will assume a pivotal role in ensuring the reliability, performance, and scalability of our AI-driven applications and systems. You will leverage your expertise in both engineering and operational aspects to design and implement scalable infrastructure, automate processes, and enhance security posture. This role will involve collaboration across multidisciplinary teams to drive the adoption of best practices in SRE while navigating the unique challenges posed by the AI landscape, ensuring that our services are secure, efficient, and resilient in a rapidly evolving environment.
Job Responsibilities
- Design, implement, and maintain robust and scalable systems to support AI application deployments.
- Develop and manage monitoring systems to proactively identify and resolve issues impacting system reliability and security.
- Automate operational processes to streamline deployments and enhance performance in the AI ecosystem.
- Collaboration with software development teams to integrate SRE best practices into the product lifecycle.
- Conduct root cause analysis for outages, addressing potential issues before they impact services.
- Ensure compliance with security protocols and best practices specific to AI technology and infrastructure.
- Lead incident response efforts and post-mortems, fostering a culture of continuous improvement.
- Mentor junior SREs and other team members on SRE methodologies and AI security concepts.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s preferred.
- A minimum of 8 years of experience in Site Reliability Engineering or related roles.
- Strong expertise in cloud infrastructure (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
- Deep understanding of AI/ML systems and their deployment challenges.
- Experience with automation tools and configuration management (Terraform, Ansible, Puppet).
- Proficient in programming/scripting languages such as Python, Go, or Java.
- Strong knowledge of security best practices and tools within AI environments.
- Excellent problem-solving skills and a proactive approach to identifying and mitigating risks.
Technologies & Tools
This position utilizes a range of technologies and tools that are essential for maintaining high levels of performance and security within our AI systems. Key technologies include AWS / Azure / GCP for cloud infrastructure, Kubernetes for container orchestration, and tools such as Terraform and Ansible for infrastructure automation. Additionally, various monitoring solutions, security software, and development frameworks are employed to ensure that our systems are optimally configured for resilience and scalability.
Ideal Candidates
The ideal candidate for the Principal SRE role at Jobot should possess a strong blend of technical expertise and leadership capabilities. They should thrive in fast-paced and innovative environments, demonstrating a deep commitment to enhancing system reliability and security. Key characteristics include a proactive mindset, exceptional communication skills, and the ability to work collaboratively across disciplines. An ideal candidate will be passionate about mentoring others, consistently seeking to share knowledge and foster growth within the team, and will exhibit a strong inclination towards adopting and promoting best practices in AI Security.
The most unemployment pays a week runs from $235 in Mississippi to $1,208 in Washington. Compare the states →
View Similar Jobs
Similar jobs which you may be interested in. Typically using your existing skillset.