Top Tech Jobs & Startup Jobs

Develop and improve NLP solutions for spoken and written language data, including automated tokenization and linguistic annotation, analyze speech/text datasets, evaluate model performance against human annotations, and document methods and recommended improvements.

Perform deep packet inspection, protocol analysis, and reverse-engineer network protocols and data to support offensive and defensive cyber missions. Develop protocol-processing capabilities, identify anomalies and vulnerabilities, document findings, and provide technical recommendations to cyber and engineering teams.

Analyze and assess advanced cyber threats and state-sponsored APT activity using customer tools and SIGINT systems. Correlate technical indicators, produce analytic findings and recommendations, and communicate results to SIGINT, cyber, and intelligence mission teams.

Provide advanced discovery and analytical support using machine learning, statistical analysis, scripting, automation, and TechSIGINT tools. Develop analytical prototypes, create data visualizations, document methods and collaborate with analysts and engineers to support mission-focused discovery efforts and adopt new analytical technologies.

Perform advanced malicious binary and assembly analysis, identify IOCs and APT activity, develop YARA and SNORT signatures, analyze network-based threats, assess vulnerabilities, recommend mitigations, and support customer cyber missions.

Develop and maintain data ontologies and metrics, analyze large mission datasets with Python/Jupyter/Pandas, automate workflows, build visualizations and dashboards, interact with APIs, identify data/technical gaps, and present findings to government stakeholders.

Design, develop, and deploy AI/ML-enabled full-stack applications using LLMs, RAG, embeddings, and agentic workflows. Integrate models into secure cloud environments (Azure/AWS), monitor model performance and drift, support retraining, collaborate with cyber analysts, improve vulnerability triage, conduct experiments and AoAs, and provide training and best practices for secure government AI platforms.

Develop, prototype, and transition machine learning, statistical, and graph-based analytics into production. Build models and synthetic data, extract features from diverse data formats, produce visualizations, validate performance using standard metrics, and lead analytic efforts to scale solutions while partnering with software and cloud engineers.

Design, build, and operate a highly available AWS-based platform orchestrating microservices. Implement IaC and scripting, containerization (Kubernetes/EKS/ECS, Docker), CI/CD (GitLab, Argo CD), cloud cost optimization, sprint/task management, troubleshooting, and stakeholder collaboration. Requires active Top Secret/SCI with NSA full-scope polygraph and extensive experience.

The Integration Engineer will integrate software components across platforms, ensuring seamless functionality and system reliability while collaborating with various teams and stakeholders.