Platform Engineer

Analytica•Bethesda, MD

About The Position

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.

Requirements

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.

Nice To Haves

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.

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.