Top Tech Jobs & Startup Jobs

Lead full-stack engineer role designing, building, and maintaining scalable, event-driven near-real-time systems. Work spans frontend (React/Next), backend (TypeScript/Node), data pipelines (Kafka), databases (Postgres), containerization (Docker), cloud deployments (AWS/Azure/GCP), and CI/CD. Drive architecture, mentor engineers, troubleshoot across stack, and own features from design through production support in a defense/aviation context.

The role involves developing software solutions, optimizing NoSQL databases, and implementing AWS tools, requiring collaboration and problem-solving skills.

Design, build, and deliver end-to-end software systems; lead and mentor team members; ensure solutions align with current/future architecture; develop Linux applications; apply secure, resilient design practices; interact with systems/hardware engineers and produce documentation. Requires TS/SCI with polygraph.

Design, integrate, and deploy end-to-end AI/ML cloud solutions for the Army. Implement IaC, CI/CD pipelines, system administration, and service integrations while ensuring secure, scalable cloud architectures and collaboration with cloud architects and engineers.

Design and build interactive dashboards and UIs using tools like Qlik Sense, Tableau, or Power BI. Clean, wrangle, and analyze data from warehouses and big-data sources. Define reporting objects, metrics, filters, and visual best practices to deliver actionable insights for DoD clients. Work requires Secret clearance and a bachelor’s degree.

Lead development of AI/ML research concepts and government proposals, engage program officers, drive capture and proposal efforts, and transition awards into program leadership overseeing technical execution, milestones, and evaluation. Produce technical storytelling, publications, and presentations to shape high‑risk, high‑reward defense research programs.

Develop and implement computer vision algorithms to extract, track, and analyze imagery features; build production-ready systems using containerization and APIs; create and test modules to meet specifications; participate in design and code reviews; collaborate with cross-functional teams; support deployment in cloud/microservices environments and use DevOps/CI practices as required. Active TS/SCI clearance and STEM degree required.

Apply machine learning and AI to structured and unstructured IoT and other datasets: clean and integrate data, develop and deploy user-facing models, create visualizations/dashboards or lightweight web apps, advise clients, lead teammates, and apply inferential statistics and research design. Requires TS/SCI with polygraph.

Use data exploration, cleaning, modeling, and visualization to turn structured and unstructured data into actionable insights. Develop predictive models and algorithms, work with clients to define questions, and apply ML/AI/NLP techniques to solve problems. Collaborate across teams and support data-driven decision making.

Lead full‑stack engineer who designs and delivers end‑to‑end software systems, oversees a development team, ensures sound architecture and Linux deployment, and meets strict security and clearance requirements.