Top Tech Jobs & Startup Jobs

Develop and maintain full-stack simulation and modeling systems for military rehearsal and exercise programs. Responsibilities include coding in Java, C++, or C#, CI/CD pipeline administration, system integration, architecture improvements, software releases, deployment, troubleshooting, hardware installation, lifecycle management, and onsite operational support. The role works within an Agile Scrum team and requires knowledge of DIS networking and classified simulation environments.

Perform SIGINT-focused target discovery and technical targeting to develop access leads, perform vulnerability analysis, network mapping/exploitation, and fuse complex all-source data. Support offensive cyber operations (CNO), produce actionable intelligence products for mission owners, and collaborate across teams and agencies. Requires clearance and substantial SIGINT experience.

Design, manage, and secure container platforms and cloud-native solutions. Build and support containerization, orchestration, and CI/CD deployments on AWS or Azure. Inform platform strategy, troubleshoot tooling, and ensure standards and secure operations for client environments.

Develop front-end features for AI-driven applications, including responsive dashboards, data visualizations, API integrations, and real-time interfaces. Ensure performance, accessibility, reliability, and usability while collaborating with AI/ML engineers, product teams, and UX designers. Troubleshoot issues, participate in code reviews, and contribute to design-system and front-end development standards.

Develop and maintain scalable back-end systems, APIs, custom tools, and web applications using modern architectures and open-source technologies. Collaborate with cross-functional teams to solve complex problems, identify risks, modernize systems, and improve performance. Responsibilities may include Python development, server-side and middleware integration, CI/CD pipeline management, automated testing, virtualization, and workflow automation. The role requires a TS/SCI clearance with polygraph.

Designs and leads implementation of secure, scalable on-premises, hybrid, and cloud infrastructure solutions for Public Health data modernization. Responsibilities include enterprise analytics architecture, tool evaluations, MVP engagements, CI/CD pipeline development, cloud security, automation, governance, and cost optimization. The role collaborates with engineers, product teams, and stakeholders, leads technical teams, and supports federal IT and scientific-computing environments.

Develops data science solutions using structured and unstructured data, machine learning, natural language processing, and production data pipelines. Responsibilities include data exploration, cleaning, analysis, visualization, mining, governance, quality monitoring, security, and stakeholder collaboration. The role translates complex data into actionable insights and supports cloud-based applications and client decision-making. A bachelor's degree and eligibility for Public Trust or government suitability determination are required.

Develop and maintain cloud capabilities in secure DoD environments using AWS, Azure, GCP, IaC, DevSecOps, containers, networking, and CI/CD. Responsibilities include developing automation and applications, supporting cloud workloads, monitoring systems, responding to incidents, troubleshooting, and building deployment pipelines. The role requires Secret clearance, software engineering experience, cloud expertise, containerization skills, and the ability to obtain DoD 8570 IAT Level II certification.

Performs advanced data analysis, modeling, visualization, and predictive analytics for client and federal applications. Designs and automates HR performance dashboards, queries relational databases, develops transformation scripts, supports data governance and migration, and recommends measurable process improvements. Serves as a subject matter expert, mentors team members, communicates findings to technical and executive stakeholders, and supports classified national-security-related work.

Build scalable cybersecurity data pipelines and analytic workflows supporting AI-enabled threat detection, anomaly detection, automated triage, and real-time Cyber Fusion Center operations. Use Python, SQL, Apache Spark, Databricks, ETL, and version control to deliver production-ready solutions. Collaborate with cyber operators and AI engineers to prioritize datasets, shape requirements, and enable autonomous cyber defense capabilities.