Senior Principal Big Data Engineer

Description

SAIC is seeking a visionary� Senior Principal Big Data Engineer to support and expand our autonomous systems portfolio. This senior-level role requires a rare combination of strategic technology leadership, hands-on AI/ML delivery, enterprise-scale server infrastructure management. The successful candidate will contribute to the growth of the� while driving path-breaking ML/AI solutions and ensure the highest levels of server infrastructure availability, performance, and security.� �

The ideal candidate brings proven IT leadership, a demonstrated history of delivering first-of-kind technology solutions, and the analytical mindset of a strategic visionary capable of operating at both the executive and technical levels across massive server environments.�

This is a Hybrid/Remote role with expectations to be On-Site throughout the week in San Diego, CA. Must be local to area.

JOB DUTIES:

Autonomous Systems & AI/ML

• Lead design and implementation of ML/AI solutions supporting autonomous systems programs.
• Drive Big Data analytics frameworks enabling real-time autonomous decision-making pipelines.
• Apply predictive modeling expertise — including high-frequency algorithmic model development — to autonomous system response and decision architectures.�
• Develop and maintain autonomous systems data pipelines integrating server-side compute resources with edge autonomous platforms.

Server Infrastructure Management & Support

• Plan, deploy, and manage scalable server environments� supporting autonomous systems compute workloads, drawing on proven experience.
• Oversee� end-to-end server lifecycle management� including procurement, provisioning, configuration, patching, performance tuning, and decommissioning.
• Implement and maintain� high-availability (HA) and disaster recovery (DR)� architectures for mission-critical autonomous systems server infrastructure.
• Manage� physical and virtual server environments� including bare-metal, VMware, Hyper-V, and containerized workloads supporting DoD program requirements.
• Drive� server utilization optimization strategies� leveraging allocation-to-utilization based models, achieving measurable efficiency improvements across server fleets.�
• Administer and support� Redhat, Linux (RHEL/CentOS/Ubuntu)� environments in classified and unclassified network enclaves.
• Support� server hardening and STIG compliance� across all managed server assets in accordance with DoD cybersecurity requirements as required.
• Monitor server health, performance metrics, and capacity planning using enterprise monitoring tools (SolarWinds, Nagios, Splunk, or equivalent).
• Manage� storage area networks (SAN), NAS, and direct-attached storage (DAS)� solutions supporting petabyte-scale data requirements.
• Support� GPU server infrastructure� for AI/ML training and inference workloads critical to autonomous systems development.
• Coordinate with network engineering teams to ensure optimal� server-to-network integration� across classified and unclassified environments.
• Maintain� server asset inventory and configuration management databases (CMDB)� in compliance with DoD IT asset management standards.

Data Center & Infrastructure Operations

• Manage Data Center operations supporting autonomous systems compute requirements including� CUI (Controlled Unclassified Information)� compliance and physical security.�
• Implement� Infrastructure as Code (IaC)� practices using Ansible, Terraform, or equivalent tools for automated server provisioning and configuration management as required.
• Drive� cloud-hybrid server strategies� integrating on-premises server infrastructure with Microsoft Azure and other cloud platforms.�
• Manage� server backup and recovery� solutions ensuring data integrity and business continuity for autonomous systems program data.
• Support� data center relocation and consolidation� initiatives leveraging experience with portable, deployable server infrastructure.
• Ensure compliance with� FISMA, RMF (Risk Management Framework), and DoD 8570� requirements across all server infrastructure.

Program & Stakeholder Management

• Support a cross-functional teams across software, data engineering, server administration, mechanical, and electrical disciplines in a matrix organization environment.
• Prepare and deliver technical briefings on server infrastructure status, capacity planning, and modernization roadmaps to internal and external stakeholders including Federal and DoD entities.�
• Support RFP development and proposal responses for autonomous systems and server infrastructure opportunities.�
• Develop and maintain� server infrastructure documentation� including architecture diagrams, standard operating procedures (SOPs), and continuity of operations plans (COOP).

Innovation & Emerging Technology

• Research, prototype, and deliver cutting-edge autonomous and AI-driven technologies leveraging next-generation server platforms.
• Evaluate and recommend� emerging server technologies� including ARM-based servers, composable infrastructure, and software-defined data center (SDDC) solutions.
• Provide technical thought leadership on server infrastructure and autonomous systems capability gaps informing strategic investment decisions.�
• Leverage IoT, NFC, and RFID sensor integration experience to support autonomous platform server-side data ingestion and processing.�
• Drive adoption of� DevSecOps practices� across server infrastructure supporting autonomous systems CI/CD pipelines.

Qualifications

REQUIRED QUALIFICATIONS:

• Experience: 14+ years in senior IT/technology leadership roles.
• Server Administration: 10+ years managing large-scale enterprise server environments (1,000+ servers).
• AI/ML: Hands-on ML/AI solution implementation in production server environments.
• DoD Experience: Prior NAVAIR or equivalent DoD program support.
• Cloud Platforms: Microsoft Azure, AWS, or equivalent hybrid cloud experience.
• Virtualization: VMware vSphere, Microsoft Hyper-V, or equivalent.
• OS Proficiency: Windows Server 2016/2019/2022, RHEL, CentOS, Ubuntu.
• Storage: SAN, NAS, and object storage management at petabyte scale.
• Program Scale: Demonstrated management of programs valued at $500M+.
• Clearance: Active Secret Clearance.
• Education: Bachelor of Science Degree or equivalent.

REQUIRED CERTIFICATIONS:

• � Certified Dataiku ML/AI Practitioner
• � Project Management Professional (PMP)
• � ITIL Foundation
• � Security+
• � OCP (Oracle Certified Professional)
• � MCSE (Microsoft Certified Solutions Expert)
• � CNE (Certified Novell Engineer)
• � MCP (Microsoft Certified Professional)�

Preferred Additional Certifications:

• VMware Certified Professional (VCP)
• Red Hat Certified Engineer (RHCE)
• AWS Solutions Architect
• Microsoft Azure Administrator (AZ-104)
• CompTIA Server+
• DoD 8570 IAT Level II or III

PREFERRED QUALIFICATIONS:

• Prior experience in technology organizations with direct server infrastructure oversight.
• Experience designing and deploying� containerized server solutions� for rapid deployment in austere or forward-operating environments.
• Familiarity with� change data capture (CDC)� methodologies across heterogeneous server and database environments.
• Experience with� GPU cluster management� for AI/ML training workloads.
• Background in� high-frequency trading (HFT) infrastructure� requiring ultra-low latency server configurations.
• Familiarity with� DoD RMF accreditation� processes for server systems.

SERVER INFRASTRUCTURE TECHNICAL COMPETENCIES:

• Server Platforms: Dell PowerEdge, HP ProLiant, IBM Power, Cisco UCS
• Virtualization: VMware vSphere/vCenter, Microsoft Hyper-V, KVM
• Containerization: Docker, Kubernetes, OpenShift
• Operating Systems: Windows Server, RHEL, CentOS, Ubuntu, AIX
• Storage: NetApp, EMC/Dell, Pure Storage, IBM Spectrum
• Monitoring: SolarWinds, Nagios, Splunk, Dynatrace
• Automation: Ansible, Terraform, PowerShell, Bash
• Cloud Integration: Microsoft Azure, AWS GovCloud, DoD Cloud
• Backup/Recovery: Veeam, Commvault, Veritas NetBackup
• Security/Compliance: STIG, FISMA, RMF, CUI, NIST 800-53