Top Tech Jobs & Startup Jobs

Lead technical pre-sales engagements for cyber defense products, serving as a technical authority and trusted advisor to enterprise security, incident response, and threat intelligence teams. Deliver product demonstrations, presentations, solution architectures, proposals, security assessments, and competitive positioning. Partner with Product and Engineering, support customer evaluations and post-sale success, and provide market feedback. The role requires extensive experience in security architecture, security operations, cloud platforms, containers, CI/CD, and enterprise technical engagements.

Develop and maintain scalable back-end systems, APIs, tools, and applications using Java, Docker, open-source frameworks, and modern architectural approaches. Collaborate cross-functionally to solve complex problems, identify risks, optimize workflows, and support software solutions involving unbounded data streams. The role may also use Kubernetes, Kotlin, Python, Agile practices, and automated testing. An active TS/SCI clearance and willingness to undergo a polygraph are required.

Analyze structured and unstructured data supporting expeditionary logistics. Develop algorithms, predictive models, quantitative analyses, visualizations, and machine learning or natural language processing solutions using Python, R, and data-processing frameworks. Translate complex datasets into actionable insights for client decision-making, potentially leveraging distributed computing, LLMs, generative AI, and agentic frameworks. Candidates must hold a bachelor’s degree and be able to obtain a Secret clearance.

Leads data science initiatives by analyzing complex structured and unstructured datasets, developing algorithms, processing data, creating visualizations and dashboards, and delivering data-driven insights to clients. Uses Python, SQL, ETL processes, APIs, and machine learning techniques while guiding teammates and communicating findings to technical and nontechnical audiences.

Leads implementation, modernization, maintenance, testing, deployment, and support of agile software systems. Develops complex Python solutions, rearchitects legacy applications into microservices, and supports CI/CD and containerization pipelines. Applies advanced software engineering principles, solves highly complex problems independently, and may supervise or develop first-level supervisors or managers. A Secret clearance and bachelor’s degree are required.

Maintains and enhances legacy enterprise applications by troubleshooting operational issues, fixing bugs, upgrading systems, and meeting security requirements. Develops with JavaScript frameworks, databases, APIs, and version control while working in Agile teams. Advises clients on modernizing existing systems and supports application reliability throughout their functional life cycle.

Develop, maintain, and support Agile software solutions using Palantir Foundry to modernize systems and build data-driven applications. Responsibilities include full-stack development, source-code creation, complex problem solving, workflow automation, and collaboration with cross-functional teams. The role may involve data modeling, ontology mapping, visualization, AI/ML integration, React applications, and guiding junior employees. A Secret clearance must be obtainable.

Creates and deploys low-code and no-code applications and workflows using Microsoft Power Platform. Supports business process analysis, automation, UX design, Agile development, product ownership, and architectural planning. Collaborates with change managers and transformation advisors to deliver integrated applications, translate IT needs into implementation plans, and establish design standards and best practices. Works under direct supervision and may support classified government clients after obtaining Secret clearance eligibility.

Supports enterprise cybersecurity education and execution by developing training and awareness content, analyzing data, assisting with vulnerability remediation, maintaining cyber products and vendor relationships, and supporting operational communications. The intern contributes to phishing campaigns, training curriculum, cybersecurity briefings, risk mitigation resources, and execution management while building foundational knowledge of cybersecurity resilience, compliance, and risk management.

Develop algorithms, predictive models, quantitative analyses, and visualizations from structured and unstructured data. Analyze complex datasets, apply machine learning, AI, NLP, and text-mining techniques, and translate findings into actionable insights for clients across government and private-sector challenges.