Cloud Storage Engineer

SAIC is seeking a highly skilled and experienced Data & Storage Integration Engineer with a strong background in software integration, data science, and enterprise storage systems. The ideal candidate will bring advanced expertise in scripting, data analytics, storage technologies, and enterprise systems to support complex integration, performance, and analytics objectives across a dynamic IT environment.

Storage Systems & Infrastructure:

• Design, deploy, configure, and maintain Net App storage systems (e.g., FAS, AFF, E-Series, 8200, 8300, A300)
• Manage storage protocols (NFS, CIFS/SMB, iSCSI, FC) and ONTAP operating systems
• Monitor performance, implement provisioning, and configure storage virtual machines (SVMs)

Data Science & Advanced Analytics:

• Develop statistical and operations research models to support business and technical objectives
• Design and execute data mining, graph algorithms, or analytics pipelines

Data Protection & Integration:

• Implement Snap Mirror, Snap Vault, and Snap Restore technologies
• Support data backup, disaster recovery planning, and storage consolidation
• Performance Optimization
• Analyze storage performance metrics and optimize configurations
• Implement quality of service (QoS) policies
• Troubleshoot storage-related performance issues
• Capacity planning and forecasting

Minimum Education & Experience Requirements:

• Bachelor’s Degree with a minimum of 14 years of relevant experience

Required Skills:

• Familiarity with Net App tools including OnCommand, Active IQ, System Manager
• CompTIA Storage+ or equivalent certifications

Preferred Qualifications:

• Experience with AWS cloud storage services (e.g., S3, EBS, FSx, Storage Gateway)
• Integrate with cloud platforms (e.g., AWS, Net App Cloud Manager, FSxN)
• Work with virtualization technologies (e.g., VMware, Xen, KVM)

APIs, ETL, and Application Support:

• Design and implement APIs and ETL pipelines for large-scale data movement
• Collaborate with network, server, application, and database teams to meet data delivery requirements
• Apply scripting languages (Python, R) and tools (Jupyter, Pandas, Num Py, Requests) in support of data science or advanced analytics
• Proficiency with operating systems (Linux, Windows Server) and enterprise networking

Soft Skills:

• Analytical thinking and problem-solving mindset
• Ability to work independently and collaboratively in a 24/7 support environment
• Experience in documenting technical solutions and managing cross-functional projects

MUST BE A US CITIZEN WITH THE ABILITY TO OBTAIN A SECRET SECURITY CLEARANCE

SAIC accepts applications on an ongoing basis and there is no deadline.

SAIC® is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high‑end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission‑critical operations that modernize and enable critical national imperatives.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer.

Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit  For ongoing news, please visit our newsroom.