Remote (Global)

MixMode is hiring a Sr. Software Engineer-AI Reliability

About the Role

MixMode is seeking a Senior Software Engineer focused on AI Reliability to enhance the resilience, performance, and scalability of our production AI systems. You will be responsible for refactoring and hardening distributed services, diagnosing complex issues, and building robust monitoring tools in close collaboration with ML researchers.

What You'll Do

  • 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.

What We're Looking For

  • Ability to travel to our Santa Barbara, CA office a few times per year.
  • 7+ years of professional software engineering experience.
  • Strong proficiency in Python and at least one JVM language (Java, Scala, or Kotlin).
  • Proven experience designing, building, and operating distributed systems in production.
  • Strong understanding of service architecture, concurrency, resource management, and distributed failure modes.
  • Experience operating Kubernetes deployments.
  • Strong experience with relational databases, including query performance analysis, indexing, and connection management.
  • Demonstrated ability to diagnose and resolve performance, scalability, and reliability issues across system layers.
  • Experience implementing automated testing and production observability (logging, metrics, tracing).
  • Experience collaborating with ML or data science teams.
  • Ability to improve system architecture and engineering practices through design, code review, and mentorship.

Technical Stack

  • Languages: Python, Java, Scala, Kotlin
  • Infrastructure: Kubernetes
  • Data: Relational Databases

Team & Environment

You will collaborate closely with ML researchers and engineers to productionize and scale predictive systems.

Benefits & Compensation

  • Compensation range: $150,000-$210,000.
  • 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).

Work Mode

This is a remote position.

MixMode provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Required Skills
PythonJavaScalaKotlinKubernetesRelational DatabasesAI/MLSREMonitoringObservabilityIncident ManagementDistributed SystemsAutomationCI/CDCloud Platforms
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About company
MixMode

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. The MixMode platform delivers self-supervised, real-time threat detection for known and unknown threats across cloud, hybrid, and on-premises environments.

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Job Details
Category infrastructure
Posted 22 days ago