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. 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.
The Role
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.
Required Skills
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 Skills
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.
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