Top Tech Jobs & Startup Jobs

Lead IT Infrastructure Architect to modernize the Air Force AOC C2 system. Design hybrid cloud/on‑prem infrastructures, embed RMF/NIST-aligned secure practices, support DevSecOps and container platforms, evaluate emerging technologies, and coordinate cross-functional teams to improve resilience and operational agility. Requires TS/SCI clearance, 7+ years experience, and DoDI 8570.01 Level III IASAE certification.

Full‑stack .NET software engineer responsible for designing, developing, and migrating applications from .NET Framework to modern .NET (5/8/10). Work includes C# Web APIs, Docker containers, Agile delivery, collaborating with product teams, and ensuring production‑ready solutions. Requires Secret clearance and a bachelor’s degree.

Lead architecture and development of end-to-end remote sensing and SDA processing systems. Design radiometric/spectral models, advanced imaging algorithms, ML-based detection and multi-sensor fusion, trajectory estimation, and scalable scientific computing solutions. Mentor engineers, set technical roadmaps, and collaborate with mission stakeholders to deliver secure, production-grade analytics.

Use data science to source, ingest, clean, transform, analyze, and visualize structured and unstructured data in WDP. Develop dashboards and data products (Databricks, SQL, Python, Tableau/Qlik), create visual narratives, and brief senior DoW leadership to support IT portfolio management.

Develop clean, efficient end-to-end software using APIs, analytics, and infrastructure in an agile environment. Analyze architectures, implement production-ready systems, identify improvements, collaborate cross-functionally, and grow technical skills while supporting testing and automation.

Design, implement, and optimize computer vision and multi-sensor fusion algorithms for detection, characterization, and tracking. Build training, evaluation, and deployment pipelines (Python/C++), integrate deep learning (transformers like DINO/CLIP/SAM) with classical estimation (Kalman filters), and support GPU‑accelerated, containerized inference for real‑time GEOINT applications.

Lead data science efforts: explore, clean, analyze structured and unstructured data; design data pipelines; build predictive models and visualizations; guide teammates and advise clients. Communicate findings at strategic and technical levels.

Design, provision, and manage AWS cloud infrastructure and virtual machines; implement Infrastructure-as-Code and Configuration-as-Code; build and maintain CI/CD pipelines; automate with Bash/Python/PowerShell; deploy and operate containerized applications (Docker/Podman/Kubernetes); apply cloud networking, security, and monitoring best practices to support client missions.

Design, build, and deploy production-grade AI/ML systems (NLP/LLMs, computer vision, generative AI). Create scalable data pipelines, microservices/APIs, and cloud- or edge-deployed models. Ensure security, observability, and performance; perform model optimization, versioning, A/B testing, and documentation. Collaborate with engineers, mission SMEs, and product teams to meet operational requirements.

As an AI/ML Engineer, you'll implement machine learning techniques, build AI models, and support national security applications, collaborating with various teams.