Principal Software Engineer | Data Science
Tasks
- Accelerate ML experimentation and production workflows
- Build high performance services pipelines and tooling for ML experimentation
- Contribute to product strategy and roadmap discussions
- Deploy AI ML models for network traffic analysis
- Design write and maintain high performance software
- Develop autonomous AI agent architectures and multi agent workflows
- Drive engineering excellence through code reviews and design reviews
- Establish engineering standards patterns and best practices
- Lead cross-functional technical initiatives
- Mentor software engineers
- Represent engineering to senior leadership and external stakeholders
Perks/Benefits
- 401k employer match
- Educational reimbursement
- Employee assistance program
- Flexible PTO
- Health, dental, vision benefits
- Hybrid work model
- Paid volunteer time
- Parental leave
- Remote work model
Skills/Tech-stack
AI | AI Agent | AWS | Agent systems | Anomaly Detection | Azure | Behavioral Analysis | Data Pipelines | Detection Systems | Docker | Go | Incident Response | Intrusion Detection | Intrusion detection systems | Kubernetes | Lifecycle Management | Machine Learning | Model Lifecycle | Model Lifecycle Management | Monitoring | Multi-Agent | Multi-Agent Systems | Network Protocols | Network telemetry | Python | Statistics | Threat Classification | Threat detection | Training pipelines
Education
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