Top Tech Jobs & Startup Jobs

Provide on-site system administration and security support for a government client: manage Windows systems, Active Directory, patching/IAVA, STIG implementation, virtualization (VMware/Hypervisor), VDI (Citrix), storage and SQL maintenance, PACS administration, troubleshooting, documentation, and occasional travel. Ensure compliance and train users with minimal supervision.

Lead test engineering for a mission-focused cloud software application: develop test plans and procedures, support integration and requirement sign-off, coordinate with technical teams, support client briefings, and perform occasional travel for demonstrations and meetings.

Support development and implementation of a mission-focused cloud software application: capture CONOPS, create UI mock-ups, author technical documentation, generate Agile user stories, manage backlog and sprint planning, engage customers, and coordinate system design, implementation, integration, and verification with software and test engineers. Occasional travel for demos and meetings.

Develop, deploy, and maintain full-stack applications and databases within a DevOps/Agile environment. Automate analytical processes, provide Tier 3 support, ensure code integrity, and collaborate on features, deployments, and release documentation. Support off-hours deployments.

The role involves researching Windows kernel vulnerabilities, developing CNO/CNE tools for Windows, and performing reverse engineering on Windows binaries and components. It requires strong C/C++, Assembly, and knowledge of Windows internals. Collaboration with teams and producing technical documentation are also key responsibilities.

The Application Support Engineer maintains customer applications, resolves system anomalies, and collaborates with various technical teams to address operational issues.

This role involves leading data science projects, designing technical solutions, implementing machine learning methodologies, and developing data workflows for cybersecurity applications.

The Data Scientist II will develop machine learning algorithms, architect data solutions, and support cybersecurity initiatives by analyzing complex data sets.

Analyze cyber threat intelligence to identify adversary TTPs and IOCs, create reports, queries, threat matrices, and briefings. Apply MITRE ATT&CK, D3FEND, Diamond Model, and kill-chain analysis to enrich detection, support vulnerability management, threat hunting, pen testing, SOC/IR, and produce intelligence products for senior leadership.

Design, integrate, test, and deploy IP/MPLS transport and network virtualization solutions. Architect highly available IP-based networks, execute validation test plans in integration labs, document designs/installations, and provide project management support.