Lead Principal Software Engineer

What you'll do

• Define the long-term architecture and technical roadmap for physical network automation and AI-driven operations.
• Design distributed, event-driven systems to ingest and correlate global network failure and performance data.
• Architect AI decision systems for anomaly detection, fault diagnosis, and capacity forecasting.
• Direct the development of agent workflows to discover, invoke, and coordinate approved network capabilities.
• Establish controls for production network actions, including identity, authorization, approval gates, and audit trails.
• Define evaluation and observability standards to measure the accuracy and quality of AI-driven capabilities.
• Set engineering standards for APIs, backend services, data pipelines, and production operations.
• Mentor principal and senior engineers while advising senior leadership on technical investments and risks.

What we're looking for

• At least 15 years of experience in software engineering, network automation, cloud infrastructure, or a related field.
• Bachelor’s degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
• Strong programming skills in Java and Python with experience building and operating production software.
• Deep experience designing distributed systems, APIs, event-driven data pipelines, workflow systems, or cloud-native services.
• Experience defining technical architecture and leading complex projects from concept through production operation.
• Experience with network operations, data center infrastructure, or other large-scale infrastructure systems.
• Experience building AI/ML or LLM-based capabilities to operational problems, including evaluating output and defining human review requirements.
• Strong knowledge of Linux, software development practices, CI/CD, observability, and production incident response.