Teams at Stellar Cyber

Build scalable infrastructure for LLM-based agentic AI supporting autonomous security operations. Responsibilities include designing agent orchestration frameworks, LLM inference and resource-management systems, MCP servers, supporting APIs, and distributed backend services. The role collaborates with machine learning, security research, engineering, and product teams. Required experience includes backend infrastructure, distributed systems, APIs, microservices, cloud deployment, containerization, orchestration, and Python, Java, or Go.

Own and evolve cybersecurity platform integrations, parser frameworks, data normalization, and microservice-based solutions. Design secure APIs, process security logs from diverse sources, and ensure ingested data supports detection and analytics. Drive architecture decisions, improve framework reliability, mentor engineers, and use AI tools to accelerate development, testing, parsing, automation, and operational workflows.

Prospect, qualify, and close B2B cybersecurity software opportunities through outbound calls, email, LinkedIn, virtual meetings, demos, and presentations. Build pipeline across North America, engage IT and security stakeholders, maintain CRM data and forecasts, partner with technical teams, and exceed sales quotas in a high-activity inside sales environment.