Top Tech Jobs & Startup Jobs

Design and implement post-quantum cryptography (PQC) solution architectures, transition systems to PQC standards, analyze OS and network configurations, and apply cybersecurity controls. Support documentation, validation, assessment, and accreditation for information assurance, collaborate with cross-disciplinary teams, and evaluate trust and cryptographic architectures.

The role involves building data pipelines, processing structured and unstructured data, and collaborating with a multidisciplinary team on technology solutions for clients in various sectors.

As a Data Engineer, you will design, build, and maintain scalable data platforms, working on mission-driven projects that analyze big data to derive insights. You will collaborate with multi-disciplinary teams in a fast-paced environment.

The AI and ML Engineer will develop and maintain AI/ML models, collaborate with teams to deliver solutions for national security, and apply algorithms.

The AI Solutions Architect designs AI solutions, mentors team members, and ensures ethical compliance while addressing complex business problems using advanced technology and industry knowledge.

Perform data integration, exploratory analysis, and machine learning to produce predictive models and visualizations for an intelligence community customer. Build ETL pipelines, leverage APIs and geospatial data, and deliver dashboards or lightweight web apps while communicating findings to varied technical audiences.

Design, develop, and modernize ground‑system and real‑time software for space missions. Build microservice-based solutions, migrate legacy apps, implement cloud and containerized deployments, and collaborate cross-functionally to improve performance, resilience, and operational speed for mission-critical GEOINT and space operations.

As a Data Scientist, you will analyze data, develop algorithms, and utilize IoT and machine learning to solve complex problems for clients.

Design, build, and maintain BI dashboards and UIs to visualize structured and unstructured data. Perform data exploration, cleaning, analysis, and create modular, user-centric visualizations. Communicate insights to technical and non-technical stakeholders and support clients' decision-making. Support security clearance eligibility processes.

Designs and implements AI solution architecture, mentors team members, and develops innovative solutions to complex business challenges.