Top Tech Jobs & Startup Jobs

Owns end-to-end execution and integration of a complex satellite constellation across spacecraft, ground systems, communications, suppliers, launch, deployment, commissioning, and mission operations. Manages cost, schedule, technical performance, dependencies, risks, resources, suppliers, and operational readiness for $100M+ efforts. Establishes integrated plans, drives critical-path execution, resolves blockers, develops recovery strategies, and communicates decision-ready assessments to executives and cross-functional stakeholders.

The Cybersecurity Engineer secures space-sensing systems supporting defense and national security missions. Responsibilities include analyzing system performance, identifying vulnerabilities, supporting Risk Management Framework activities, conducting mission-based cyber risk assessments, developing threat scenarios for cyber test events, evaluating cybersecurity architectures and network diagrams, and integrating security throughout the system lifecycle. The role requires collaboration with engineers, operators, and mission stakeholders.

Develop and maintain production AI/ML applications using agent-based workflows, LLM integration, RAG pipelines, REST APIs, and Python services. Design agent architectures, process structured and unstructured data, refine PostgreSQL schemas, and optimize applications for performance, reliability, scalability, and usability. The role also supports full-stack development, enterprise deployment, tool integration, memory management, vector search, and cloud or containerized environments.

Leads complex, cross-domain engineering initiatives and portfolio planning while improving execution visibility, dependency management, risk resolution, and operating cadences. Establishes agentic project-management workflows to automate routine coordination and reporting, with human oversight for ambiguity and consequential decisions. Partners with engineering and product operations leaders to improve systems of record, reduce administrative burden, strengthen governance, and make delivery more predictable.

Supports 24x7 satellite ground-system operations by scheduling backend systems and antenna resources, monitoring telemetry and system health, coordinating anomaly response, troubleshooting hardware and software issues, and managing investigations through resolution. The role develops operational metrics, dashboards, tools, cloud capabilities, processes, and technical documentation while coordinating with customers, vendors, engineering teams, and operations leadership to improve reliability and mission readiness.

Design and administer an enterprise Jira operating model for Product and Engineering. Standardize workflows, governance, data quality, roadmaps, reporting, and portfolio processes across Jira and connected collaboration tools. Build automations, dashboards, and AI-enabled solutions to improve planning, delivery visibility, dependency management, and executive reporting. Lead change management, training, stakeholder alignment, and adoption across a complex organization.

Develops and executes integration plans for space and ground systems supporting Space Force environmental monitoring capabilities. Leads integration across system-of-systems, system, segment, and element levels; researches requirements, technologies, and threats; and applies integration methodologies to remote sensing systems. The role also evaluates technical performance, schedules, costs, risks, contractor data, requirements, interfaces, and verification activities for satellite programs.

Supports data science teams by cleaning and preparing structured and unstructured datasets, automating ETL workflows, and developing scalable data pipelines. Uses Python, SQL, big-data frameworks, cloud services, and dashboarding tools to support analytics, modeling, LLM/NLP workflows, and operational data products. Maintains documentation, assists with data governance and visualization, and contributes to mission-focused intelligence solutions in a highly sensitive environment.

Develops and executes integration plans for space and ground systems supporting military remote sensing missions. The role evaluates and validates system performance, mitigates integration risks, manages configuration changes, and supports DoD acquisition, sustainment, logistics planning, and lifecycle documentation. Responsibilities span system-of-systems, system, segment, and element levels while coordinating with engineers, analysts, logisticians, and financial managers.

Develop scalable data science solutions for large structured and unstructured datasets supporting national security missions. Automate data processing, build machine learning and graph-based capabilities, and integrate LLMs into knowledge management workflows. Translate customer needs into analytical solutions, communicate findings through reports and visualizations, deploy models with engineering teams, and mentor junior data scientists. The role is full-time onsite in Reston, Virginia and requires an active TS/SCI clearance with CI polygraph.