We are seeking an experienced Platform Engineer to automate and operate infrastructure, containers, CI/CD, configuration, observability, and platform services for a Federal data analytics and AI modernization initiative.
The team will deliver a secure, scalable platform that integrates structured and unstructured data, provides data visualization and traceable AI-assisted analytics, and gives examiners centralized tools for search, review, monitoring, and decision support. The platform will support professional judgment and will not replace authoritative agency financial or grants-management systems or execute financial transactions.
We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.
Key Responsibilities- Design, automate, deploy, and operate infrastructure, container platforms, CI/CD pipelines, configuration management, observability, and platform services.
- Automate infrastructure provisioning and management using Infrastructure as Code (IaC).
- Build and maintain Linux-based environments, containerized workloads, and platform services.
- Develop and maintain CI/CD pipelines, artifact repositories, secrets management, and automated deployment workflows.
- Configure and operate infrastructure supporting applications, databases, data pipelines, and AI/ML workloads.
- Implement monitoring, logging, alerting, and observability across infrastructure and platform services.
- Support networking, scalability, high availability, patching, vulnerability remediation, backup, and disaster recovery.
- Troubleshoot and resolve infrastructure, deployment, networking, performance, and platform reliability issues.
- Develop technical documentation covering infrastructure architecture, configurations, deployment procedures, monitoring, maintenance, and recovery processes.
- Collaborate with software engineering, data engineering, data science, AI/ML, and security teams throughout development and deployment.
- Apply security, privacy, data governance, and compliance requirements throughout infrastructure and platform operations.
Required Qualifications- Experience with platform engineering and infrastructure automation in enterprise or Federal environments.
- Hands-on experience with Linux, containers, Infrastructure as Code, CI/CD, configuration management, secrets management, and artifact management.
- Experience building and operating infrastructure supporting applications, databases, data pipelines, or AI/ML workloads.
- Strong knowledge of observability, monitoring, logging, networking, scalability, high availability, patching, vulnerability remediation, backup, and recovery.
- Experience with automated deployment and infrastructure provisioning.
- Strong understanding of DevOps, DevSecOps, system reliability, and secure infrastructure practices.
- Strong technical communication, documentation, problem-solving, and cross-functional collaboration skills.
- U.S. citizenship and ability to obtain and maintain Top Secret eligibility.
- Active Top Secret clearance highly preferred.
Preferred Qualifications- Experience delivering infrastructure solutions in secure Federal, on-premises, cloud, or hybrid environments.
- Experience with Kubernetes and/or Rancher.
- Experience with Jenkins and CI/CD automation.
- Experience with self-hosted Azure DevOps.
- Strong experience with Linux administration and system automation.
- Experience supporting PostgreSQL and/or Microsoft SQL Server infrastructure.
- Familiarity with Java and/or .NET application environments.
- Experience supporting AI/ML and open-source AI model infrastructure.
- Experience with container orchestration, service networking, and platform security.
- Familiarity with infrastructure monitoring, centralized logging, vulnerability management, and disaster recovery solutions.
