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Senior DevOps Engineer

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Archer Aviation

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Location:
United States , San Jose

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

133400.00 - 200000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • Experience with specific Kubernetes distributions (e.g., K3s, Rancher, OpenShift)
  • Familiarity with network configuration, firewalls, and security best practices for hybrid environments
  • Experience in MLOps workflows and related tools (e.g., MLflow, Kubeflow)
  • Certifications such as CKA, CKAD, or relevant cloud provider certifications

Additional Information:

Job Posted:
March 10, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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