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Job Summary:
- Enhance the reliability, performance, and scalability of production AI systems
- Refine and strengthen existing distributed services across application, database, and container orchestration layers
- Collaborate with ML researchers to make our systems more robust and maintainable
Responsibilities:
- Own the reliability, performance, and operational health of production AI services
- Design and implement monitoring, alerting, and debugging tools for high-availability systems
- Contribute to incident response and postmortems, driving continuous improvement
Qualifications:
- 7+ years of professional software engineering experience
- Strong proficiency in Python and at least one JVM language (Java, Scala, Kotlin)
- Proven experience designing, building, and operating distributed systems in production
MixMode
MixMode is a leading provider of AI-powered cybersecurity solutions at scale, pioneering a patented third-wave, context-aware AI approach. They are backed by PSG and Entrada Ventures and headquartered in Santa Barbara, California.