Top Tech Jobs & Startup Jobs

Develop predictive models, algorithms, data pipelines, quantitative analyses, and visualizations from structured and unstructured data. Collaborate with clients to identify data-driven solutions, lead complex technical initiatives, guide teammates, and communicate findings strategically. The role requires data exploration, cleaning, analysis, visualization, statistical programming, and a Secret clearance.

Monitor, detect, investigate, and respond to cybersecurity alerts and incidents in a Tier 2 SOC environment. Review logs, tool outputs, and threat intelligence; assess affected systems; support mitigation and recovery; identify attacker patterns; recommend security improvements; prepare reports; and follow escalation procedures while supporting 24/7 operations.

Develop offensive cyber capabilities and conduct vulnerability research involving large-scale network exploitation and SIGINT. Perform software development, reverse engineering, network vulnerability assessments, and exploitation of adversary systems. Solve complex technical problems, develop innovative approaches, operate independently, and mentor or supervise technical personnel. A Top Secret clearance is required or must be obtainable.

Develops cyber and SIGINT exploitation capabilities for large-scale networks, researches vulnerabilities, performs reverse engineering and vulnerability assessments, and creates innovative solutions for emerging adversary capabilities. The role requires network exploitation expertise, Python and C software development, technical leadership, mentoring, and eligibility for a Top Secret clearance.

Manage large technical and cybersecurity projects from concept through completion. Develop project management plans and program documentation aligned with DoD regulations, coordinate stakeholders and technical teams, review contracts and project costs, produce reports, analyze program performance, advise senior leadership, and support strategic planning. The role requires an active TS/SCI clearance and obtaining a DoD 8570 IAT Level II certification.

Design, develop, and secure container platforms and CI/CD pipelines on AWS. Build and manage Kubernetes deployments, Helm-managed tools, and infrastructure-as-code. Support production applications, evaluate container security, and inform platform strategy while meeting client standards and obtaining required certifications and clearance.

Leads ACAS modernization and enterprise vulnerability management for DoD clients. Designs STIG compliance frameworks, standardizes scanning and baselines, integrates cyber risk outputs with POA&M, ATO, GRC, and ticketing processes, and advises stakeholders on remediation and risk acceptance. Produces executive briefings and defensible compliance evidence while partnering with engineering and RMF teams. Automates workflows using scripting and IaC and supports continuous monitoring, Zero Trust initiatives, and enterprise cybersecurity modernization.

Develop and evaluate cloud security architectures for Intelligence Community systems. Assess security documentation, compliance, risk thresholds, software assurance, and accreditation requirements under the Risk Management Framework. Recommend security tools and capabilities across on-premises, cloud, and hybrid environments. Collaborate with clients, leaders, engineers, and managers to establish policies, procedures, and strategic security objectives while troubleshooting cloud security challenges.

Build, automate, and standardize enterprise network and systems infrastructure across hybrid multi-cloud and on-premises environments. Use Terraform, Ansible, and Python to implement repeatable infrastructure, support CI/CD, monitor systems, troubleshoot complex environments, and reduce configuration drift. Translate strategic architectures into production-ready implementations while enforcing architectural, compliance, and documentation standards. The role requires deep networking, cloud, Linux, automation, and diagnostic expertise, along with TS/SCI clearance and polygraph eligibility.

Build and improve data pipelines that turn client needs into reliable data products. Responsibilities include gathering requirements, writing SQL and Python for data processing, profiling and validating data, troubleshooting quality issues, documenting data definitions and transformations, collaborating with stakeholders and technical teams, supporting Databricks solutions, and contributing to Agile delivery.