Top Tech Jobs & Startup Jobs

Design, build, and maintain scalable cloud-based software for geospatial data extraction, analytics, and visualization. Work onsite with US government customers, participate across the SDLC, apply DevSecOps/CI-CD, and collaborate with analysts to deliver mission-focused data products.

Serve as a senior technical authority defining and integrating complex software-intensive mission systems across software, cloud, networking, cybersecurity, and operations. Lead architecture, trade studies, risk mitigation, cross-domain integration, and customer engagement. Mentor engineers, establish systems engineering practices, and apply AI-assisted engineering to improve analysis, documentation, and workflows for mission-ready capabilities.

Senior technical authority responsible for integrating cybersecurity and compliance into software-intensive mission systems. Translate security requirements (NIST/CMMC/RMF) into architecture and engineering solutions, assess risk and gaps, support accreditation and continuous compliance, mentor engineers, and enable secure DevSecOps and cloud practices while maintaining mission performance in classified and unclassified environments.

Lead system design, architecture, implementation, testing, and production rollout for EW-resistant autonomous drone hardware. Build and hire the team, collaborate with software leads to deliver rapid prototypes, engage directly with customers, and drive productization for Project Darwin.

Design, develop, and productionize multimodal AI systems (VLMs, LLMs, reasoning models) and end-to-end ML pipelines for geospatial data. Build training/experiment frameworks, synthetic datasets, scalable inference, monitoring, and collaborate with research, engineering, and product teams to deliver Earth intelligence solutions.

The Account Executive will drive revenue and adoption of geospatial products within USSOCOM, leveraging relationships and collaborating with internal teams.

The role involves designing and implementing machine learning solutions for geospatial data, participating in multi-discipline teams, and mentoring internal teams while ensuring efficient project execution and client communication.

Develop and maintain backend services for a data platform, ensuring reliability and performance. Collaborate on scalable data models and contribute to architecture decisions.

Design, build, and maintain scalable full-stack software for geospatial intelligence. Perform ELT and cloud-based processing, analyze and visualize large geospatial-temporal datasets, develop analytics and AI/ML-enabled products, apply DevSecOps/CI-CD practices, lead small teams, and support the full software development lifecycle from design through deployment and maintenance.

Design, deploy, tune, and maintain PostgreSQL environments for a large-scale government analytics platform. Ensure high availability, replication, backup/recovery, performance optimization, monitoring, automation (IaC/scripting), and collaborate with application, data engineering, and DevSecOps teams to deliver secure, scalable database services in cloud/hybrid/containerized environments.