ML Infrastructure Engineer — Autonomous SOC & LLM Agents

Stellar Cyber; United States; Remote; USD 150,000 - 215,000; Full time

Benefits offered by this job

Pre-IPO Stock Options

Medical, Dental & Vision care

401(k)

Employee Assistance Program

Employee Discount Program

Life Insurance

Paid time off

Referral Program

Rewards and Recognition Program

Job summary

Stellar Cyber is seeking a skilled Machine Learning Infrastructure Engineer to build scalable AI infrastructure powering Autonomous SOC applications on the Open XDR platform. You will design agentic AI frameworks, client-facing APIs, and MCP services while collaborating with cross-functional teams.

The role requires experience in backend infrastructure, distributed systems, and cloud deployment using Docker, Kubernetes, and related tooling, with Python/Java/Go proficiency.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field, or equivalent practical experience.
• 2 years of software development experience or 1 year with an advanced degree in industry.
• 2 years of experience with data structures or algorithms in academic or industry settings.
• 2 years of experience developing backend infrastructure, distributed systems, APIs (REST/gRPC), and microservices for MLOps projects.
• Experience with cloud computing technologies, including containerization, orchestration and deployment (Docker, Kubernetes).
• Experience in Python, Java, or Go.

Responsibilities

• Design and build Agentic AI frameworks to orchestrate LLM-based agents for SecOps tasks.
• Develop scalable LLM inference infrastructure for cost-efficient serving across hosting providers.
• Create MCP servers that interface with Open XDR platform services and LLM agents.
• Develop API services to support Autonomous SOC applications and agent operations.
• Collaborate with ML researchers, UI/backend/infrastructure engineers, and product management.

Skills

LLM frameworks

Python

Java

Go

Distributed systems

MLOps

REST / gRPC

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Docker

Kubernetes

LangChain

LangGraph

AutoGen

vLLM

llama.cpp

Job description

Stellar Cyber is seeking a skilled Machine Learning Infrastructure Engineer to build scalable AI infrastructure powering Autonomous SOC applications on the Open XDR platform. You will design agentic AI frameworks, client-facing APIs, and MCP services while collaborating with cross-functional teams.

The role requires experience in backend infrastructure, distributed systems, and cloud deployment using Docker, Kubernetes, and related tooling, with Python/Java/Go proficiency.