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.
Analytica has been recognized by Inc. Magazine as the fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. As a core member you’ll work with a diverse team of professionals to solve matters, architect nuisances, and come up with alternatives. 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.
About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
- Application Review: AI tools may help identify skills and experiences relevant to the role.
- Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.
These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.