DevOps Engineer

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Design and execute AI-driven workflows utilizing Google Vertex AI and LLMs.

• Lead the strategy and administration of production environments across GCP, AWS, and Azure.

• Create self-healing infrastructure that employs machine learning for predictive maintenance.

• Develop advanced CI/CD pipelines with automated security checks and AI-enhanced code reviews.

• Manage multi-tenant cloud environments with an emphasis on Zero Trust IAM and AI-optimized cost control.

⛳️ Requirements

• Strong grasp of LLMOps and AI automation pipelines.

• Advanced scripting abilities for custom tools using Python or Go.

• Comprehensive understanding of data science principles and analytics, utilizing cloud analytics frameworks like BigQuery.

• In-depth knowledge of cloud administration across public cloud providers, particularly GCP, AWS, and Azure.

• Proficient in networking and infrastructure design skills, including global load balancing setups, Cloud Armor, and more.

• Solid understanding of Infrastructure as Code frameworks such as Terraform or Ansible.

• Excellent diagnostic and structural problem-solving skills for troubleshooting intricate environments.

• Strong communication and cross-functional collaboration abilities, skilled in translating technical metrics for leadership.

🏝️ Benefits

• A description of our employee benefits may be found here.