Backend Engineer, Top Secret RL in Classified Systems

Amadeus Search; El Segundo (CA); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

401k

PTO

Healthcare

Paid travel opportunities

Job summary

A technology solutions firm in El Segundo, CA, is looking for a Software Engineer with backend-leaning, full-stack responsibilities. The ideal candidate must have an active Top Secret clearance and strong backend skills, particularly in Python, with experience in Go and TypeScript. The role entails building core product capabilities and deploying machine learning models in classified environments. Competitive compensation of $180k – $200k, along with equity and benefits, is offered for this on-site position.

Qualifications

• Active Top Secret clearance is required.
• Strong backend engineering skills with Python.
• Experience across Go and TypeScript is necessary.
• Ability to productionize machine learning models, especially reinforcement learning.
• Experience building scalable backend infrastructure.
• Comfort working in classified, high-security environments.
• High agency and ownership in fast-paced environments.

Responsibilities

• Build and own core product and backend platform capabilities.
• Deploy and fine-tune reinforcement learning models.
• Integrate classified sensor data into production systems.
• Collaborate with science team to translate models into production code.
• Ensure backend systems are reliable, accurate, and scalable.
• Travel for customer integrations and opportunities.

Skills

Backend engineering skills

Python

Go

TypeScript

Productionizing machine learning models

Integrating classified data

Working in classified environments

High agency

Job description

A technology solutions firm in El Segundo, CA, is looking for a Software Engineer with backend-leaning, full-stack responsibilities. The ideal candidate must have an active Top Secret clearance and strong backend skills, particularly in Python, with experience in Go and TypeScript. The role entails building core product capabilities and deploying machine learning models in classified environments. Competitive compensation of $180k – $200k, along with equity and benefits, is offered for this on-site position.