Amadeus Search
Role: Software Engineer (Backend-leaning, Full-stack responsibilities)
Location: El Segundo, CA (On-site, 5 days/week, up to 25% travel)
Compensation: $180k – $200k + competitive equity
About the Role Smack Technologies is seeking a backend-leaning Software Engineer with full-stack responsibilities to join their small, mission-driven team. This role requires an
active Top Secret (TS) clearance
and is highly hands-on, with ownership of backend systems, deployment of reinforcement learning models, and integration of classified sensor data. As an early team member, you’ll help shape both the product and the engineering culture while solving high-stakes defense challenges.
What You Will Do
Build and own
core product and backend platform capabilities .
Deploy and fine-tune reinforcement learning models
in classified environments.
Integrate
classified sensor data
into robust production systems.
Work closely with the science team to
translate advanced models into production code .
Ensure backend systems are
highly reliable, accurate, and scalable .
Travel (~25%) for
customer integrations , including opportunities in Hawaii.
What You Will Bring
Active Top Secret clearance
(required).
Strong backend engineering skills with
Python
and experience across
Go and TypeScript .
Ability to
productionize machine learning models , especially reinforcement learning.
Experience building
scalable backend infrastructure
and data integrations.
Comfort working in
classified, high-security environments .
High agency and ownership — able to thrive in a
fast-paced startup environment .
Compensation and Perks
Salary:
$180k – $200k
Equity:
Competitive
Benefits:
401k, PTO, Healthcare
Other:
Paid travel opportunities (including customer work in Hawaii)
Why Join Us
Mission-driven impact : Work on defense systems that strengthen deterrence and ensure national security.
Small, elite team : Collaborate with ex-Meta, ex-Palantir, and military leaders.
High ownership : Be an early member with influence over core product direction.
Cutting-edge tech : Deploy reinforcement learning models in real-world, high-stakes scenarios.
Fast-moving startup : Combine purpose with rapid growth opportunities.
#J-18808-Ljbffr
Location: El Segundo, CA (On-site, 5 days/week, up to 25% travel)
Compensation: $180k – $200k + competitive equity
About the Role Smack Technologies is seeking a backend-leaning Software Engineer with full-stack responsibilities to join their small, mission-driven team. This role requires an
active Top Secret (TS) clearance
and is highly hands-on, with ownership of backend systems, deployment of reinforcement learning models, and integration of classified sensor data. As an early team member, you’ll help shape both the product and the engineering culture while solving high-stakes defense challenges.
What You Will Do
Build and own
core product and backend platform capabilities .
Deploy and fine-tune reinforcement learning models
in classified environments.
Integrate
classified sensor data
into robust production systems.
Work closely with the science team to
translate advanced models into production code .
Ensure backend systems are
highly reliable, accurate, and scalable .
Travel (~25%) for
customer integrations , including opportunities in Hawaii.
What You Will Bring
Active Top Secret clearance
(required).
Strong backend engineering skills with
Python
and experience across
Go and TypeScript .
Ability to
productionize machine learning models , especially reinforcement learning.
Experience building
scalable backend infrastructure
and data integrations.
Comfort working in
classified, high-security environments .
High agency and ownership — able to thrive in a
fast-paced startup environment .
Compensation and Perks
Salary:
$180k – $200k
Equity:
Competitive
Benefits:
401k, PTO, Healthcare
Other:
Paid travel opportunities (including customer work in Hawaii)
Why Join Us
Mission-driven impact : Work on defense systems that strengthen deterrence and ensure national security.
Small, elite team : Collaborate with ex-Meta, ex-Palantir, and military leaders.
High ownership : Be an early member with influence over core product direction.
Cutting-edge tech : Deploy reinforcement learning models in real-world, high-stakes scenarios.
Fast-moving startup : Combine purpose with rapid growth opportunities.
#J-18808-Ljbffr