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Текст:
TL;DR
Software Engineer II or III (AI) (Python/Vue/Aerospace): Building and sustaining full-stack distributed software for complex aerospace and defense systems with an accent on hardware integration, secure disconnected deployments, and AI-enabled engineering workflows. Focus on designing service-based architectures, integrating software across multi-VM systems and hardware interfaces, and troubleshooting applications across operating systems, networks, containers, and virtualization.
Location: San Diego, California, US; onsite. Minimal domestic travel required.
Salary: $130,000–$160,000 base pay per year.
Company
GALT Aerospace develops architecture solutions, open systems integration, rapid prototypes, and information capabilities for aerospace, defense, and US national security applications.
What you will do
- Own software features from requirements and architecture through implementation, integration, testing, delivery, and sustainment.
- Build full-stack applications with Vue-based interfaces, Python backend services, APIs, and relational or NoSQL data stores.
- Design and integrate distributed services using RPC, publish/subscribe messaging, Protocol Buffers, and service-based architectures.
- Integrate software with external devices and hardware through serial interfaces, network protocols, and device APIs.
- Deploy and troubleshoot software across Linux, Windows, physical, virtualized, multi-VM, secure, and air-gapped environments.
- Develop Ansible automation, containerized applications with Podman, and practical AI agents and LLM workflows for engineering and automation.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related STEM field.
- At least 5 years of professional software development experience.
- Experience with Python or similar languages, modern frontend frameworks, RESTful APIs, Bash or PowerShell, Git, databases, and software design fundamentals.
- Experience with Linux development and troubleshooting, distributed application communication, hardware or external-system integration, containerization, and configuration automation.
- U.S. Citizenship and the ability to obtain and maintain a DoD security clearance are required.
- Onsite work in San Diego, California is required.
Nice to have
- Experience with LLMs, generative AI, AI agents, agentic workflows, tool calling, MCP, RAG, or local AI infrastructure.
- Experience with Protobuf, gRPC, publish/subscribe systems, message brokers, air-gapped deployments, virtualization, networking, and hardware interfaces.
- Familiarity with CI/CD, DevOps, cybersecurity, secure software development, system hardening, vulnerability management, or DoD environments.
- Active or previously held DoD security clearance, an advanced degree, or relevant technical certifications.
Culture & Benefits
- Work on nationally relevant aerospace and defense systems supporting US national security.
- Collaborative environment focused on integrity, trust, respect, ownership, expertise, and measurable results.
- Full-time salaried employment with base-pay progression based on skills, qualifications, and experience.
- Role includes minimal domestic travel and regular computer-based work with occasional movement around the facility.
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