Senior Principal Big Data Engineer

SAIC
San Diego, US
Hybrid

Job Description

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

Skills & Requirements

Technical Skills

Ml/ai solutionsBig data analyticsPredictive modelingHigh-frequency algorithmic model developmentAutonomous systems data pipelinesServer infrastructure managementServer lifecycle managementHigh-availability (ha) and disaster recovery (dr) architecturesRedhatLinux (rhel/centos/ubuntu)Server hardeningStig complianceServer health monitoringStorage area networks (san)NasDirect-attached storage (das)Gpu server infrastructureNetwork engineeringServer asset inventoryConfiguration management databases (cmdb)Infrastructure as code (iac)AnsibleTerraformData center operationsCui (controlled unclassified information) compliancePhysical securityServer infrastructure documentationArchitecture diagramsStandard operating procedures (sops)Continuity of operations plans (coop)Strategic technology leadershipHands-on ai/ml deliveryEnterprise-scale server infrastructure managementIt leadershipAnalytical mindsetOperating at both the executive and technical levelsCollaborative mindsetCommitment to maintaining a positive and professional working environmentAutonomous systemsAi/mlServer infrastructureData center operations

Employment Type

FULL TIME

Level

Mid-Level

Posted

4/28/2026

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