Site Reliability Specialist (Remote)
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Key skills for this role
About the Role
We are hiring a Site Reliability Engineer on a contractor basis to apply expertise in deploying, monitoring, and recovering complex AI training environments. You will identify infrastructure bottlenecks, orchestrate resilient systems, and collaborate with engineering teams.
Key Skills for This Role
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
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 to drive business outcomes
- 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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