Top Tech Jobs & Startup Jobs

Design and maintain DevOps infrastructure for services that aggregate infrastructure data, detect deployment discrepancies, enforce best practices, and support compliant customer operations. Responsibilities include managing GitLab CI/CD pipelines, operating Kubernetes and Rancher environments, deploying and monitoring AWS workloads, maintaining Grafana, Prometheus, and Elastic APM monitoring, and communicating technical concepts to customers. The role requires active TS/SCI clearance with full-scope polygraph and 12 years of experience.

Develop full-stack web applications integrating AI, machine learning, and computer vision models. Build and test software using Java, Spring Boot, Python, React, MongoDB, and Docker; collaborate with data science teams, customers, and stakeholders; enhance the company website; and contribute to products throughout their lifecycles.

Develop and test mobile exploits, reverse-engineer mobile applications and SDKs, conduct vulnerability research, debug applications and exploits, and perform software development. The role requires programming in C/C++ or Python, static and dynamic analysis experience, mobile platform knowledge, and an active TS/SCI clearance with full-scope polygraph. This position is fully onsite.

Lead the architecture and development of scalable LLM-powered applications, AI infrastructure, and full-stack services. Build reliable platforms, automation, monitoring, and deployment systems for enterprise-scale AI workloads. Conduct capacity planning, performance tuning, incident response, and post-mortems. Collaborate with product teams, improve development processes, and mentor engineers while supporting rapid and reliable delivery of AI features.

Develops, deploys, monitors, and maintains operational network infrastructure and CI/CD capabilities. Responsibilities include Infrastructure as Code, GitLab administration, containerization, automation tooling, metrics collection, system reliability, and end-to-end solutions for mission customers. The role uses Packer, Terraform, Ansible, Docker, Linux, databases, and scripting technologies to automate infrastructure deployment and improve production resilience. It is fully on-site and supports mission operations.

Design, develop, debug, and modify embedded software. Participate in code reviews, documentation, developer testing, integration testing, and development of support software interfacing with embedded systems. Requires low-level programming experience in Windows, Linux, or RTOS environments, along with C/C++ and Python proficiency. An active TS/SCI clearance with full-scope polygraph is required.

Develop and maintain analytic and UI-based software tools supporting CNO operators and analysts. Responsibilities include resolving application issues, gathering customer requirements, rapidly prototyping solutions, automating workflows, and collaborating with cross-functional teams. The role emphasizes frontend and UI development while also involving APIs, backend services, DevOps, databases, Python, CI/CD, and containerization.

Build and own full-stack web applications connecting AI/ML capabilities with intelligence customers. Responsibilities include developing CMO’s website and workflow tools, collaborating with computer vision and data science engineers, prototyping new capabilities, engaging stakeholders and users, and testing and deploying software throughout its lifecycle.

Develop, test, debug, and reverse engineer CNO software across Linux, Windows, Android, and/or iOS platforms. The role requires proficiency in C, C++, and Python, understanding of x86 and/or ARM architectures, and an active current TS/SCI clearance with full-scope polygraph. This position is fully on-site in Maryland.

Develop graph data models, optimize Neo4j and Cypher queries, build Python data parsers, validate mission data, and support near-real-time graph analysis. Translate analyst and customer requirements into graph-based solutions, collaborate with software developers, document schemas and processes, and address operational challenges through data modeling and graph technologies.