Senior Software Engineer, AI Reliability

Responsibilities

• Own the reliability, performance, and operational health of production AI services
• Refactor and harden existing systems to improve resilience, clarity, and maintainability
• Diagnose and resolve issues across distributed services, data pipelines, and storage layers
• Design and implement monitoring, alerting, and debugging tools for high-availability systems
• Partner with researchers and engineers to productionize predictive systems at scale
• Establish best practices for testing, deployment, capacity planning, and incident response
• Contribute to incident response and postmortems, driving continuous improvement

Requirements

• 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
• Strong understanding of service architecture, concurrency, and resource management
• Experience operating Kubernetes deployments
• Strong experience with relational databases and query performance analysis
• Experience implementing automated testing and production observability
• Ability to travel to Santa Barbara, CA, a few times per year

Preferred Qualifications

• Experience collaborating with ML or data science teams
• Ability to improve system architecture through design, code review, and mentorship

Benefits

• Remote-First Work Culture
• Healthcare (Medical, Dental, Vision, Accident)
• Basic & Voluntary Life and AD&D
• Flexible Spending Account (FSA)
• 401(k) with Employer Match
• Paid Holidays & Flexible Paid Time Off (PTO)

About the Company

MixMode is a leading provider of AI-powered cybersecurity solutions at scale, pioneering a patented third-wave, context-aware AI approach that automatically learns and adapts to dynamic environments.