Teams at Quantum Sky Engineering LLC

Lead corporate strategy development and execution, including market analysis, strategic initiatives, performance monitoring, mergers and acquisitions, partnerships, financial modeling, due diligence, and integration. Advise business unit leaders and support enterprise-wide strategic projects while evaluating competitive, industry, and technology trends. The role is hybrid in Reston, Virginia, and requires advanced corporate strategy or development experience.

Design, build, and operate GCP and Kubernetes infrastructure supporting AI/ML training, inference, and data workloads. Responsibilities include GKE platform engineering, GPU/TPU capacity, Terraform automation, GitOps, hybrid connectivity, observability, security, disaster recovery, and incident response. The engineer will support Vertex AI and Kubeflow users, create self-service platform components, mentor engineers, lead architecture reviews, and coordinate infrastructure workstreams across teams.

Leads research into cybersecurity detection using network traffic and machine learning. Designs labeling taxonomies, weak-supervision and active-learning methods, ground-truth processes, packet-data representations, evaluation strategies, and reproducible experiments. Partners with offensive operations and model engineers to translate adversary behavior into scalable learning targets and detection models. The role requires advanced quantitative expertise, practical experience with found-data labeling challenges, and strong Python and PyTorch skills.