Sr. Software Reliability Engineer AI

Senior Software Reliability Engineer for AI

Remote

Mix Mode 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 Mix Mode platform delivers self‑supervised, real‑time threat detection for known and unknown threats across cloud, hybrid, and on‑premises environments. Large organizations with big data workloads – including those in enterprise, critical infrastructure, US Department of War and US Intelligence Community – trust

Mode to defend their most important assets. Backed by PSG and Entrada Ventures, Mix Mode is headquartered in Santa Barbara, California. Learn more at https://(Use the "Apply for this Job" box below)..

Job Title:

Senior Software Reliability Engineer for AI

Location:

Santa Barbara, CA or Remote

Job Summary: We are looking for a Senior Software Engineer to improve the reliability, performance, and scalability of our production AI systems. This role focuses on understanding, refining, and strengthening existing distributed services across application, database, and Kubernetes layers. This individual will work closely with ML researchers to make our systems more robust, maintainable, flexible, and scalable.

Responsibilities:

• Own the reliability, performance, and operational health of production AI systems, focusing on improving complex, existing services.
• Lead efforts to refactor and harden the AI codebase to improve observability, maintainability, and resilience.
• Diagnose and resolve issues across distributed systems, including latency, throughput, data pipelines, and resource utilization.
• Design and build monitoring, alerting, and debugging tools for high‑availability services.
• Partner with researchers and ML engineers to product ionize models at scale.
• Establish best practices for testing, deployment, capacity planning, and incident response.
• Serve as a technical leader during on‑call rotations, driving incident response, post‑mortems, and continuous system improvements.

Requirements:

• 7+ years of professional software engineering experience
• Strong proficiency in Python and at least one JVM language (Java, Scala, or Kotlin preferred)
• Proven experience designing, building, and operating distributed systems in production
• Strong understanding of service architecture, concurrency, resource management, and distributed failure modes
• Prior experience with streaming data pipelines (e.g., Spark streaming, Flink, Kafka)
• Hands‑on experience running production services on Kubernetes, including pod lifecycle management and fault tolerance
• Strong experience with relational databases (e.g., Postgre
  
  SQL, MySQL), including query performance analysis, indexing, and connection management
• Demonstrated ability to diagnose and resolve performance, scalability, and reliability issues across application, database, and infrastructure layers
• Experience implementing automated testing (unit, integration, end‑to‑end) and production observability (logging, metrics, tracing)
• Experience collaborating with ML or data science teams to product ionize predictive systems (ML expertise not required)
• Ability to improve system architecture and engineering practices over time through design, code review, and mentorship

Compensation and Benefits: Competitive based on industry standards. Benefits for full‑time team members include:

• Remote‑First Work Culture
• Basic & Voluntary Life and AD&D
• Flexible Spending Account (FSA)
• 401(k) with Employer Match
• Paid Holidays & Flexible Paid Time Off (PTO)

Mix Mode 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.