Cloud Infrastructure Engineer

Role Overview

• Build and maintain robust cloud infrastructure on Oracle Cloud Infrastructure (OCI) as the backbone for AI/ML model testing and edge emulation environments.
• Build open source-based solutions that enable the collection of performance metrics, including CPU, GPU, and LLM metrics, into an Oracle Autonomous Database.
• Benchmark models engineered for edge deployment, with simulated size/weight/power (SWaP) configurations.
• Implement MLOps pipelines enabling testing of models against multiple simulated edge devices.
• Operationalize the parameterization of designated edge systems to characterize compute, storage, SWaP, networking, and mission constraints.
• Design, stand up, and maintain a full edge-system emulation environment on OCI, enabling model testing, profiling, and automated deployment optimization.
• Define performance benchmarks and evaluate model behavior under contested and low-bandwidth edge conditions.
• Implement integration of Git to check out models for testing.
• Enhance and manage an emulated edge system, parameters, and performance metrics from testing for external system query and model tuning.
• Support secure data ingest, cross-cloud orchestration, and API-based interoperability across Oracle Cloud, AWS, and Army systems.
• Apply working knowledge of DoD security frameworks, enclave boundaries, and cross-domain workflows to ensure compliant, secure architectures.
• Coordinate with industry partners to ensure alignment with mission objectives, technical baselines, and security requirements.
• Provide technical mentorship to other team members, system developers, data engineers, and system integrators supporting the program.

Requirements

• Must be a US Citizen with a minimum of a Tier 3 Secret clearance
• Bachelor's degree and/or equivalent experience
• 12 years of work experience with 8+ years of hands-on experience in distributed systems or edge computing
• Proficiency in Linux system administration and operations in DoD or defense environments
• Strong working knowledge of DoD programs, security requirements, and defense IT environments, including exposure to database management, Oracle APEX, and secure architecture design
• Experience with database design, management, and API integration
• Strong expertise in Python, deep learning frameworks (PyTorch, TensorFlow), and MLOps tooling
• Deep knowledge of edge compute architectures, SWaP-constrained systems, and model compression/optimization techniques (quantization, pruning, distillation)
• Familiarity with tactical edge data patterns, ISR sensor ingest, and real-time decision models
• Experience designing or running emulation/simulation environments for edge or embedded systems
• Ability to work with government stakeholders in a highly collaborative environment

Tech Stack

• AWS
• Cloud
• Distributed Systems
• Linux
• Open Source
• Oracle
• Python
• PyTorch
• Tensorflow

Benefits

• Comprehensive Health, Dental, and Vision plans
• Premier 401k retirement plan with corporate matching and a 529 college saving plan
• Tax-advantaged Health Savings Account and Dependent Care Flexible Spending Account options
• Legal Resources
• Generous work/life balance opportunities supported by a PTO bank, paid holidays, leave programs and additional flex time off
• Employee referral program
• Employee recognition, gift and reward program
• Tuition reimbursement for continuing education
• Remote or hybrid work options
• Engaging company events such as team building activities, annual awards and kick-off parties
• Employee Resource Groups such as our Values & Women’s Leadership Committees – Focusing on charitable and volunteering events to give back to our community, creating an inclusive environment for all, and fun employee activities
• Health and wellness-focused activities
• Relaxation Spaces
• In-office gourmet coffee, tea, fresh fruit and healthy snacks
• Corporate GREEN approach – tracking energy consumption for reduction and purchasing only environmentally friendly products for our offices