Emergent, LLC is a company focused on providing advanced cloud solutions and consulting services. They are seeking a Cloud Infrastructure Engineer to build and maintain robust cloud infrastructure on Oracle Cloud Infrastructure (OCI) for AI/ML model testing and edge emulation environments, while ensuring compliance with DoD security frameworks and collaborating with industry partners.
Responsibilities:
- 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
- Develop both web interfaces and RESTful APIs for the emulation management console using Oracle APEX
- 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
- Experience with DoD programs, C5ISR, or tactical edge AI systems
- Knowledge of Kubernetes, containerization, and cross-cloud orchestration
- Experience with Oracle Cloud Infrastructure (OCI), Oracle Autonomous Database, Ansible, and REST APIs
- Understanding of multicloud security architectures, cross-domain workflows, and enclave boundary constraints