DevOps Early Hire Engineer - Interested in large-scale LLM inference? 6-month Equity Trial to FT Hire. Join us.

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Job Overview

Subconscious AI is seeking a DevOps Early Hire Engineer who is enthusiastic about large-scale LLM inference and eager to contribute to our dynamic team during an initial six-month equity trial period. In this role, you will play a pivotal part in shaping our infrastructure, optimizing deployment processes, and ensuring the scalability and performance of our AI solutions. You will collaborate closely with cross-functional teams to implement best practices in DevOps and contribute to the continuous improvement of our systems.

Job Responsibilities

• Design, implement, and maintain scalable infrastructure for LLM inference.
• Automate deployment processes and streamline continuous integration/continuous deployment (CI/CD) pipelines.
• Monitor system performance and make recommendations for improvements and optimizations.
• Collaborate with Data Scientists and Software Engineers to ensure seamless integration of machine learning models into production workflows.
• Participate in troubleshooting and resolving complex infrastructure issues.
• Ensure security, scalability, and reliability of all DevOps practices and processes.
• Assist with capacity planning and resource allocation to meet project demands.
• Document infrastructure designs, processes, and workflows to facilitate knowledge sharing within the team.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience in DevOps or Site Reliability Engineering roles.
• Strong understanding of cloud platforms (AWS, GCP, or Azure) and relevant DevOps tools.
• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
• Familiarity with CI/CD tools and practices.
• Knowledge of infrastructure as code (IaC) using tools like Terraform or CloudFormation.
• Proficiency in scripting languages (Python, Bash, etc.).
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Technologies & Tools

As a DevOps Early Hire Engineer, you will be working with a variety of technologies and tools including cloud service providers such as AWS and GCP, containerization tools like Docker, Kubernetes for orchestration, CI/CD platforms like Jenkins or GitLab, and infrastructure as code tools such as Terraform. Familiarity with monitoring solutions such as Prometheus or Grafana will also be beneficial to ensure the performance and reliability of our systems.

Ideal Candidates

The ideal candidate for this position will possess a strong blend of technical expertise and interpersonal skills. They should demonstrate a proactive mindset, being able to anticipate issues before they arise and develop effective solutions. Excellent communication skills are essential to work collaboratively with diverse teams. A passion for innovation and a genuine interest in AI and large-scale machine learning systems will set you apart as a valuable asset to our organization.