Job Opportunities API

(ID: 2026-1537)   Axle 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).   Benefits We Offer: 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN)   Axle is seeking a Computer Programmer to build and optimize scalable cloud and hybrid platforms using DevOps and SRE practices. This role focuses on automation, CI/CD, and supporting modern workloads like AI/ML, with an emphasis on reliability and efficiency.   Responsibilities: Design and operate scalable, resilient, and secure infrastructure platforms across cloud and hybrid environments  Champion DevOps and SRE practices including Infrastructure as Code, CI/CD, observability, and reliability engineering  Build developer-friendly platforms (“golden paths”) that simplify deployments, reduce friction, and improve velocity  Enable and optimize infrastructure for AI/ML workloads, including:  Data pipelines and storage systems  Model training and inference environments  GPU-enabled and high-performance compute workloads  Develop and maintain automated CI/CD pipelines for applications, data, and ML workflows  Implement observability frameworks (metrics, logs, traces) to ensure system health and performance  Define and manage SLOs, SLIs, and error budgets to drive reliability improvements  Lead incident response, root cause analysis, and postmortems with a focus on continuous improvement  Automate provisioning, configuration, patching, and environment lifecycle management  Build and manage containerized and orchestrated platforms (Docker, Kubernetes)  Support cloud migration, modernization, and platform standardization initiatives  Ensure systems meet security, compliance, backup, and disaster recovery requirements  Evangelize DevOps practices to development community on the AI driven tool integrations for  code standards, qualitative tools, security tools in the shift-left automation Mentor engineers and promote best practices in DevOps, SRE, and platform engineering Stay abreast of new technologies in your areas but not limited to AIOps, MLOps, cloud computing & deployment, site reliability engineering, infrastructure automation, security best practices, data engineering etc.    Requirements: Must have 6+ years of Hands-on Linux experience that includes specific technical experience with Ubuntu/ CentOS /Red Hat operating systems, containers, dependency management and administration support Must have 4+ years of experience automating Infrastructure-as-Code (IaC) deployments to one of the following cloud platforms Amazon AWS, Google GCP and Microsoft Azure Must have 4+ years in DevOps / SRE roles supporting production systems Must have 4+ years with CI/CD and automation tools such as Terraform, Ansible, Chef, Puppet, Jenkins, GitHub Actions