AI Platform & Cloud Engineer

Axle
Rockville, MDPosted 21 February 2026

Job Description

<div style="font-size: 10pt; font-family: 'Tahoma';">(ID: 2025-0914) <p> </p> <br> <p><strong>Axle</strong> is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).</p> </div> <p> </p> <div style="font-size: 10pt; font-family: 'Tahoma';"> <p><strong>Benefits We Offer:</strong></p> <ul> <li>100% Medical, Dental Vision Coverage for Employees</li> <li>Paid Time Off and Paid Holidays</li> <li>401K match up to 5%</li> <li>Educational Benefits for Career Growth</li> <li>Employee Referral Bonus</li> <li>Flexible Spending Accounts: <ul> <li>Healthcare (FSA)</li> <li>Parking Reimbursement Account (PRK)</li> <li>Dependent Care Assistant Program (DCAP)</li> <li>Transportation Reimbursement Account (TRN)</li> </ul> </li> </ul> </div> <div class="ck-content" style="font-family: Segoe UI; font-size: 11pt;" data-wrapper="true"> <p style="line-height: 115%; margin: 0in 0in 8pt;"><span style="font-family: Tahoma; font-size: 10pt;"><span style="line-height: 115%;"><strong>Overview</strong></span></span></p> <p style="line-height: 115%; margin: 0in 0in 8pt;"><span style="font-family: Tahoma; font-size: 10pt;"><span style="line-height: 115%;">The AI Platform Cloud Engineer will help sustain the hybrid cloud production environment for the SOM Center’s data ecosystem. This role serves as the technical interface between Data Science and IT, focusing on Platform Engineering: building the internal developer platform (IDP) that utilizes the IT-managed Kubernetes infrastructure and cloud resource to scale resources for workflow orchestration, knowledge graph data pipelines, and distributed model inference.</span></span></p> <p style="line-height: 115%; margin: 0in 0in 8pt;"> </p> <p style="line-height: 115%; margin: 0in 0in 8pt;"><span style="font-family: Tahoma; font-size: 10pt;"><span style="line-height: 115%;"><strong>Responsibilities:</strong></span></span></p> <ul> <li style="line-height: 115%;"><span style="font-family: Tahoma; font-size: 10pt;"><span style="line-height: 115%;"><strong>IT Collaboration K8s Support: </strong>Collaborate closely with the dedicated IT team to define compute requirements and orchestrate workloads on the new Kubernetes cluster. The engineer will not manage the cluster directly but will ensure data science applications are correctly containerized and configured to run efficiently on the infrastructure provided by IT.</span></span></li> <li style="line-height: 115%;"><span style="font-family: Tahoma; font-size: 10pt;"><span style="line-height: 115%;"><strong>Infrastructure Strategy: </strong>Define the Infrastructure as Code (IaC) specifications for application-level resources, working with IT to ensure on-premises GPU clusters and public cloud environments (GCP/AWS) are utilized effectively.</span></span></li> <li style="line-height: 115%;"><span style="font-family: Tahoma; font-size: 10pt;"><span style="line-height: 115%;"><strong>Refactoring Model Serving</strong>: Transform experimental code (Jupyter Notebooks, R scripts) developed by NLP and Omics researchers into robust, containerized software packages. Deploy and optimize model inference servers (e.g., vLLM, Triton Inference Server) to expose AI models as reliable internal APIs.</span></span></li> <li style="line-height: 115%;"><span style="font-family: Tahoma; font-size: 10pt;"><span style="line-height: 115%;"><strong>Workflow Orchestration:</strong> Deploy and maintain the Workflow Orchestration platform (e.g., Apache Airflow, Prefe ... (truncated, view full listing at source)
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