Senior DevOps, Archer

• 5+ years of professional experience in a DevOps, SRE, or infrastructure engineering role
• Deep expertise in containerization and orchestration, specifically Kubernetes (design, deployment, and troubleshooting) and Docker
• Strong proficiency in managing infrastructure in both Cloud (e.g., AWS, GCP, Azure) and On-Premise environments
• Expert-level administration skills in Linux and strong working knowledge of Windows Server environments
• Proven experience with Infrastructure as Code (IaC) and Configuration Management tools (e.g., Terraform, Ansible)
• High proficiency in scripting and automation using Python and Bash
• Extensive experience with monitoring and observability platforms, especially Datadog (or comparable tools like Prometheus/Grafana, New Relic)
• Hands-on experience deploying and managing technologies related to Large Language Models (LLMs), such as utilizing LiteLLM, OpenRouter, or setting up and managing LLM serving endpoints

Desirable

• As a Senior DevOps Engineer, you will be a key contributor to our infrastructure strategy, focusing on automation, stability, and performance across both cloud and on-premise environments.
• You will drive best practices in CI/CD, configuration management, and monitoring, with a specific focus on optimizing the deployment and operation of large language models (LLMs) and related technologies
• Design, deploy, and manage highly available, scalable infrastructure using Kubernetes and Docker across public cloud (e.g., AWS, GCP, Azure) and on-premise data centers
• Develop and maintain robust Configuration Management solutions (e.g., Ansible, Terraform) for consistent environment provisioning and management
• Implement and manage CI/CD pipelines to facilitate rapid, reliable, and automated software releases
• Administer and troubleshoot operating systems, encompassing both Linux and Windows environments
• Implement and optimize observability practices using monitoring tools like Datadog for logging, tracing, and alerting
• Spearhead the operational deployment, scaling, and maintenance of LLM infrastructure, leveraging tools like LiteLLM, OpenRouter, or similar LLM orchestration/gateway technologies
• Automate repetitive tasks and system operations using scripting languages, primarily Bash and Python
• Collaborate closely with development, MLOps, and security teams to ensure infrastructure supports product requirements and compliance standards
• Participate in an on-call rotation to ensure service reliability and responsiveness to incidents