Top Tech Jobs & Startup Jobs

Lead Site Reliability and DevOps work for a multi-account AWS platform: design scalable IaC and CI/CD, operate Kubernetes/Docker workloads, improve observability and reliability, troubleshoot production, participate in on-call rotation, and drive reliability and automation best practices across teams.

Design, develop, test, deploy, and support cloud-native full-stack applications using Java/Spring Boot, Vue.js, and Python/FastAPI. Build secure, scalable APIs on AWS with Docker, Kubernetes, and IaC. Own features end-to-end, apply AI-assisted SDLC to accelerate delivery, and contribute automation, CI/CD, and engineering best practices.

Develop, run, and improve high-fidelity simulations of space, airborne, and ISR sensor systems; design analysis scenarios; own modeling tasks end-to-end; build reusable tools and scripts; analyze results, provide recommendations, perform QA/QC, estimate effort, and mentor junior analysts. Work on-site and must hold active TS/SCI clearance.

Lead high-fidelity modeling and simulation of space and airborne ISR systems, define analysis approaches, run large simulation campaigns (cloud/HPC), validate results, advise customers, standardize workflows, and mentor junior analysts to produce defensible recommendations for mission trade studies.

Design, develop, test, deploy, and support cloud-native full-stack applications. Build secure, scalable APIs and services (Java/Spring Boot, Python/FastAPI, Vue.js). Operate on AWS using Docker, Kubernetes, and Infrastructure as Code. Apply AI-assisted development practices to accelerate delivery, automate engineering tasks, and validate AI-generated outputs. Collaborate with product, systems, and architecture teams to deliver production-ready features end-to-end.

Design, develop, test, deploy, and support cloud-native full-stack applications using Java/Spring Boot, Vue.js, and Python/FastAPI. Build and operate on AWS with Docker, Kubernetes, and IaC. Create secure, scalable APIs, collaborate with cross-functional teams, and apply AI-assisted SDLC practices to automate development, testing, and documentation while ensuring software quality and maintainability.

Develop, integrate, and deploy production-quality software for a 24/7 missile warning system. Convert algorithm prototypes into reliable, performant applications, build automated tests and CI tooling, debug and modernize codebases, and collaborate with cross-functional teams to deliver mission-ready capabilities.

Develop and maintain high-performance API-driven services and data-ingest pipelines using Java and Python. Build RESTful microservices, backend integrations, and cloud-native deployments. Collaborate across engineering teams, implement CI/CD and automated testing, troubleshoot distributed systems, and follow secure software development practices for cross-domain deployments.

Lead scientific development and validation of advanced computational and agent-based models for Ubiquitous Technical Surveillance (UTS). Collaborate with data scientists and engineers to ensure ML and simulation outputs are scientifically defensible, characterize UTS risks, assess uncertainty, and deliver transition-ready decision-support tools for operational use.

Design, develop, validate, and deploy data-driven models and analytics for national-defense missions. Perform data preparation, feature engineering, statistical and deep-learning modeling, time-series analysis, model validation, explainable AI, and performance benchmarking. Automate ETL and workflows, process structured/unstructured data with big-data/cloud frameworks, support LLM integration, and document and present results to technical and non-technical stakeholders.