Site Reliability Specialist (Remote)
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Key skills for this role
About the Role
A client in the AI industry seeks a Site Reliability Engineer on a contractor basis to deploy, monitor, and recover containerized AI training environments. The role involves proactive infrastructure troubleshooting, CI/CD pipeline refinement, and collaboration with cross-functional teams.
Key Skills for This Role
Responsibilities
- Lead the deployment, monitoring, and recovery of complex, containerized AI training environments using advanced terminal techniques
- Proactively identify, diagnose, and resolve infrastructure bottlenecks and failures in long running processes
- Orchestrate resilient system builds and infrastructure management, collaborating with engineering teams to refine CI/CD pipelines and automate routine operational tasks
- Collaborate with cross functional teams to identify and prioritize improvements to system architecture, infrastructure, and process
- Manage and optimize filesystem structure to ensure efficient data storage and retrieval
Requirements
- Terminal native problem solving skills with a strong understanding of Linux and containerized environments
- Dynamic infrastructure recovery and containerized environment mastery, with experience in deploying and managing complex systems
- Proficiency in Python, with a strong understanding of software development and testing principles
- Strong collaboration and communication skills, with experience working with cross functional teams
- Ability to adapt to changing priorities and requirements, with a strong focus on delivering high quality results under tight deadlines
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Site Reliability Engineer to work on a contractor basis.
- This Site Reliability Engineer will apply their expertise to help train next generation AI systems, shaping how models learn, reason, and perform through high quality, real world input.
- With no prior experience in AI required, domain knowledge is the key to success in this role.
Key Responsibilities
- Lead the deployment, monitoring, and recovery of complex, containerized AI training environments using advanced terminal techniques, ensuring stability and optimal resource utilization.
- Proactively identify, diagnose, and resolve infrastructure bottlenecks and failures in long running processes, minimizing downtime and ensuring business continuity.
- Orchestrate resilient system builds and infrastructure management, collaborating closely with engineering teams to refine CI/CD pipelines and automate routine operational tasks.
- Collaborate with cross functional teams to identify and prioritize improvements to system architecture, infrastructure, and process, driving continuous growth and improvement.
- Manage and optimize filesystem structure to ensure efficient data storage and retrieval, reducing latency and improving overall system performance.
Required Skills & Qualifications
- Terminal native problem solving skills, with a strong understanding of Linux and containerized environments.
- Dynamic infrastructure recovery and containerized environment mastery, with experience in deploying and managing complex systems.
- Proficiency in Python, with a strong understanding of software development and testing principles.
- Strong collaboration and communication skills, with experience working with cross functional teams to drive business outcomes.
- Ability to adapt to changing priorities and requirements, with a strong focus on delivering high quality results under tight deadlines.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in the AI industry, leveraging their platform to connect domain experts with the development of frontier AI models.
- With a focus on continuous growth and improvement, this role will challenge you to think critically and creatively, driving innovation and excellence in the field of AI systems.
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