Senior Principal Big Data Engineer
SAIC•Coronado, CA
•Hybrid
About The Position
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, and 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.
Requirements
- Proven IT leadership
- Demonstrated history of delivering first-of-kind technology solutions
- Analytical mindset of a strategic visionary capable of operating at both the executive and technical levels across massive server environments
- Experience with server hardening and STIG compliance
- Experience with enterprise monitoring tools (SolarWinds, Nagios, Splunk, or equivalent)
- Experience managing storage area networks (SAN), NAS, and direct-attached storage (DAS) solutions
- Experience supporting GPU server infrastructure for AI/ML training and inference workloads
- Experience coordinating with network engineering teams
- Experience maintaining server asset inventory and configuration management databases (CMDB)
- Experience managing Data Center operations
- Experience with CUI (Controlled Unclassified Information) compliance and physical security
- Experience implementing Infrastructure as Code (IaC) practices using Ansible, Terraform, or equivalent tools
- Experience driving cloud-hybrid server strategies
- Experience managing server backup and recovery solutions
- Experience supporting data center relocation and consolidation initiatives
- Experience ensuring compliance with FISMA, RMF (Risk Management Framework), and DoD 8570 requirements
- Experience supporting cross-functional teams in a matrix organization environment
- Experience preparing and delivering technical briefings
- Experience supporting RFP development and proposal responses
- Experience developing and maintaining server infrastructure documentation
- Experience researching, prototyping, and delivering cutting-edge autonomous and AI-driven technologies
- Experience evaluating and recommending emerging server technologies
- Experience providing technical thought leadership
- Experience leveraging IoT, NFC, and RFID sensor integration
- Experience driving adoption of DevSecOps practices
Nice To Haves
- High-frequency algorithmic model development expertise
Responsibilities
- 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
- 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
- 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
- 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)
- 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
Benefits
- SAIC is an Equal Opportunity Employer.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
1-10 employees
