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Cloud Engineering Developer

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: Mythics
Full Time, Seasonal/Temporary position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer
  • Engineering
    Systems Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Cloud Engineering Developer

Posted Date: 2 days ago (2/2/2026 5:13 PM) |   | # of Openings 1 | Category Technical Consulting | Security Clearance Level Secret | Maximum Expected Travel None | Type Regular Full-Time

Job Overview & Responsibilities

Mythics is seeking a Cloud Engineering Developer to work in our Cloud Center of Excellence group that will support the design, development, deployment, and operation of a secure Multicloud architecture—centered on Oracle Cloud Infrastructure (OCI)—to host model repositories, simulation environments, and advanced edge system emulation capabilities. This role focuses on building scalable compute environments that leverage bare metal and virtual machine instances, high-performance CPUs, NVIDIA GPUs, and low-latency RDMA networking to support large-scale CPU/GPU distributed workloads within an IL5-designated region.

The developer will collaborate closely with customer stakeholders, industry partners, and edge device providers to parameterize diverse edge systems and build cloud-based emulation environments that drive model performance testing and recommendation engine outputs.

Job Responsibilities
  • Multicloud Architecture & Environment Deployment:
    Contribute to the definition, design, and deployment of a Multicloud architecture including Oracle Cloud Infrastructure (OCI) for hosting model gardens, models, and emulation workloads.
  • Build and scale compute environments using high-performance OCI bare metal and virtual machine instances with GPU acceleration and RDMA cluster networking.
  • Ensure all architectures and deployments comply with IL5 security requirements and Army-approved design patterns.
Edge System Parameterization
  • Lead the parameterization effort to capture and formalize edge device characteristics required for realistic cloud-based emulation.
  • Develop and maintain a structured database that documents CPU, RAM, storage, specialized hardware, network configurations, communication protocols, sensor specifications, power constraints, and other relevant system parameters.
  • Coordinate and run industry working groups, sprints, technical exchanges, and collaborative sessions to gather and refine edge system data.
  • Provide regular progress readouts, recommendations, and technical updates to government leadership.
Edge System Emulation Development
  • Collaborate with edge device vendors, Army stakeholders, and industry partners to identify and implement appropriate emulation software for designated edge systems.
  • Configure OCI compute, storage, networking, and platform services to run edge system emulation workloads at scale.
  • Capture emulation results in a cloud-based emulation warehouse for the purpose of model testing, performance scoring, and recommendation engine development.
  • Demonstrate emulation capabilities of specified edge systems in support of ARIA Team Black demonstration events.
Qualifications
  • Must possess Active Secret Clearance
  • Bachelor's degree and/or equivalent experience
  • 12+ years work experience
  • Experience developing in cloud environments, preferably including Oracle Cloud Infrastructure (OCI)
  • Hands-on experience deploying high-performance computing (HPC), GPU-accelerated workloads, or distributed compute using RDMA networks
  • Experience with cloud-native technologies, infrastructure-as-code, and automated deployment tools
  • Ability to work across multiple stakeholders including government teams, industry partners, and hardware/software vendors
  • Familiarity with system modeling, hardware parameterization, or simulation/emulation frameworks
Desired Qualifications
  • Experience in DoD environments, secure cloud regions, or Impact Level 5 (IL5) cloud deployments
  • Prior work with edge computing systems, embedded devices, or sensor-driven architectures
  • Knowledge of AI/ML model deployment workflows, model evaluation, or model garden environments
  • Experience supporting technical demonstrations, engineering reviews, or cross-functional technical working groups
Company Overview

As a federal government contractor and a recipient of federal funding, Mythics and Emergent is required to abide by the Drug-Free Workplace Act, which requires Mythics and Emergent to provide a drug-free workplace,…

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