• This position is within a project with one of the foundational LLM companies. The goal is tassist these foundational LLM companies in enhancing their Large Language Models.
• One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves twmain purposes: first, as a basis for fine-tuning their models, and second, as an evaluation set tbenchmark the performance of their models or competitor models.

Requirements:

Technical Expertise:

• Proven 5+ yrs of experience with configuration management and infrastructure automation tools such as Ansible, Terraform, CloudFormation and/or similar platforms.
• Strong exposure tAWS cloud platforms with experience in designing and managing multi-cloud environments.
• Hands-on experience with container technologies (Docker) and container orchestration (Kubernetes).
• Proficiency in scripting languages (Bash, Python, etc.) for automation and tool integration.
• Familiarity with CI/CD tools (Jenkins, GitLab CI, CircleCI, etc.) and version control systems (Git).

Operational Excellence:

• Experience setting up monitoring, logging, and alerting mechanisms tensure system health and quick incident response.
• Knowledge of networking, security best practices, and high availability design in cloud infrastructures.

Professional Skills:

• 5+ years of overall work experience in DevOps or related roles.
• Demonstrable ability tcollaborate with cross-functional teams and communicate complex technical concepts.
• Strong problem-solving skills, with a proactive approach tidentifying and resolving system bottlenecks and vulnerabilities.
• Fluent in conversational and written English communication.