Sr. DevOps

<div class="content-intro"><p><span style="font-weight: 400;">Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.</span></p> <p><span style="font-weight: 400;">Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.</span></p></div><h2>Senior DevOps Engineer</h2> <h1>The Role</h1> <p>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.</p> <h1>Responsibilities</h1> <ul> <li>Design, deploy, and manage highly available, scalable infrastructure using <strong>Kubernetes</strong> and <strong>Docker</strong> across public cloud (e.g., AWS, GCP, Azure) and on-premise data centers.</li> <li>Develop and maintain robust Configuration Management solutions (e.g., Ansible, Terraform) for consistent environment provisioning and management.</li> <li>Implement and manage CI/CD pipelines to facilitate rapid, reliable, and automated software releases.</li> <li>Administer and troubleshoot operating systems, encompassing both <strong>Linux</strong> and <strong>Windows</strong> environments.</li> <li>Implement and optimize observability practices using monitoring tools like <strong>Datadog</strong> for logging, tracing, and alerting.</li> <li>Spearhead the operational deployment, scaling, and maintenance of LLM infrastructure, leveraging tools like <strong>LiteLLM</strong>, <strong>OpenRouter</strong>, or similar LLM orchestration/gateway technologies.</li> <li>Automate repetitive tasks and system operations using scripting languages, primarily <strong>Bash</strong> and <strong>Python</strong>.</li> <li>Collaborate closely with development, MLOps, and security teams to ensure infrastructure supports product requirements and compliance standards.</li> <li>Participate in an on-call rotation to ensure service reliability and responsiveness to incidents.</li> </ul> <h1>Qualifications</h1> <h2>Required Skills</h2> <ul> <li><strong>5+ years</strong> of professional experience in a DevOps, SRE, or infrastructure engineering role.</li> <li>Deep expertise in containerization and orchestration, specifically <strong>Kubernetes</strong> (design, deployment, and troubleshooting) and <strong>Docker</strong>.</li> <li>Strong proficiency in managing infrastructure in both <strong>Cloud</strong> (e.g., AWS, GCP, Azure) and <strong>On-Premise</strong> environments.</li> <li>Expert-level administration skills in <strong>Linux</strong> and strong working knowledge of <strong>Windows Server</strong> environments.</li> <li>Proven experience with Infrastructure as Code (IaC) and Configuration Management tools (e.g., Terraform, Ansible).</li> <li>High proficiency in scripting and automation using <strong>Python</strong> and <strong>Bash</strong>.</li> <li>Extensive experience with monitoring and observability platforms, especially <strong>Datadog</strong> (or comparable tools like Prometheus/Grafana, New Relic).</li> <li>Hands-on experience deploying and managing technologies related to Large Language Models (LLMs), such as utilizing <strong>LiteLLM</strong>, <strong>OpenRouter</strong>, or setting up and managing LLM serving endpoints.</li> </ul> <h2>Nice-to-Have Skills</h2> <ul> < ... (truncated, view full listing at source)