Top Tech Jobs & Startup Jobs

Lead development of advanced analytics and AI/ML solutions (including LLMs/agentic AI) for classified clients. Guide teammates, translate complex data into visual and narrative deliverables, evaluate model performance, and advise leadership on risks and decision criteria.

Design and implement AI solution architecture using Palantir Foundry. Develop Foundry applications and workflows (Workshop, Ontology Manager), build data ingestion pipelines (Code Repos/Pipeline Builder), use Maven Smart Systems, Git, CI/CD, and DevSecOps practices. Mentor teammates, engage stakeholders, and ensure security/compliance. Secret clearance and bachelors required.

Senior ICAM expert responsible for architecting and modernizing identity ecosystems for federal health clients. Advise leadership on ICAM strategy, ensure alignment with federal mandates and Zero Trust, lead solution design across IGA, PAM, non-human identities, federation, and credential lifecycle, and support capture, proposals, technical demonstrations, and delivery across the Health Cyber portfolio.

Manage and architect SharePoint-based knowledge solutions (O365 and on-prem versions), develop low-code/low-maintenance platforms, translate client needs into implementable designs, apply web development skills (JavaScript/HTML/CSS), govern permissions and distribution groups, and advise on architecture, standards, and best practices for cloud modernization.

Support Air Force systems by leading RMF-based cybersecurity engineering: manage controls, conduct risk and vulnerability assessments, implement continuous monitoring and detection, produce ATO/SSP evidence, advise development teams on controls, and mentor a team to secure IL5-ready cloud and enterprise environments.

Design, build, and operate scalable data platforms and pipelines; ingest, clean, query, and store disparate DoW/IC data; select and optimize SQL/NoSQL backends; lead cross-functional teams in agile environments; maintain data management systems for mission-driven analytics.

Lead advanced data science and AI projects for national security: evaluate AI methodologies, perform TEVV and risk mitigation, analyze complex datasets, produce technical narratives, guide teams, and maintain technical documentation aligned with governance.

Design, develop, and implement Appian low-code/no-code solutions from concept to production. Collaborate with clients and teams to translate requirements, craft architecture and design standards, automate workflows, and support cloud modernization while reducing maintenance and development costs.

Lead Software Architect to modernize MATLAB algorithms into scalable Python-based applications, design containerized cloud-ready systems with CI/CD, and architect data solutions using PostgreSQL and Elasticsearch. Lead engineering teams, ensure performance, security, and scalability, and implement DevSecOps practices for production deployments.

The Data Engineer designs and maintains scalable data management systems, implements data governance, and builds ETL workflows to support analytics and reporting needs.