About The Position

Join a highly skilled team delivering advanced cloud engineering capabilities for a mission-critical, security-sensitive initiative. This role builds the data and compute backbone for advanced modeling and simulation, blending data engineering with scalable AWS compute to support demanding analytical workloads securely and efficiently. The work supports a highly classified modernization initiative, helping build cloud infrastructure and integration platforms that connect intelligence, operational data, and mission systems through APIs, MCP servers, and cloud-native technologies. This is a full-time, on-site position. The employee must reside within commuting distance of an approved secure work location in Herndon, Virginia; Washington, DC; Seattle, Washington; or Denver, Colorado. Regular on-site work in an approved secure facility and occasional work at authorized customer facilities may be required. The position requires U.S. citizenship and an active TS/SCI clearance, with eligibility for applicable SCI read-on/indoctrination and additional program-specific access approvals.

Requirements

  • At least 5 years of experience in data engineering, modeling and simulation, or related technical engineering.
  • Hands-on AWS experience with data pipelines and compute-intensive workloads.
  • Ability to design reliable data processing and storage solutions.
  • Hands-on AWS cloud experience and ability to work effectively in highly controlled environments.
  • Active TS/SCI clearance and eligibility for applicable SCI read-on/indoctrination and additional program-specific access approvals.
  • Must reside within commuting distance of an approved secure work location in Herndon, VA; Washington, DC; Seattle, WA; or Denver, CO.
  • Must be a U.S. citizen.

Nice To Haves

  • Experience with simulation platforms or scientific computing workloads.
  • Experience with GPU-enabled EC2, AWS Batch, HPC, and large-scale scenario data.
  • Relevant AWS professional or specialty certifications; Security+ or CISSP where applicable.

Responsibilities

  • Design data ingestion, storage, and processing pipelines for simulation workloads.
  • Support GPU-enabled compute and scalable workloads using Amazon EC2, AWS Batch, or HPC patterns.
  • Optimize the movement, organization, and retrieval of large datasets.
  • Work with engineers and analysts to improve repeatability, performance, and reliability.
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