MixMode - Sr. Software Engineer-AI Reliability

• Ability to travel to our office in Santa Barbara, CA, a few times per year • 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, 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 (deep ML expertise is not required) • Ability to improve system architecture and engineering practices through design, code review, and mentorship • Our Interview Process: • Our interview process focuses on real-world production experience and practical systems thinking. We assess how you reason about distributed systems, refactor existing code, and operate under real constraints—not abstract puzzles. We support the use of AI tools in our development, but we want to understand your capabilities first. No AI tools will be allowed for remote interviews early in the process. • The process includes: • Conversations about systems you’ve personally owned, improved, and operated in production • A live refactoring and testing exercise in your choice of Java, Kotlin, or Scala, centered on improving existing code without changing behavior • A distributed systems discussion covering performance, state management, failure modes, and debugging under load • An ML production discussion focused on stabilizing and operating model-driven systems in real environments • The final stage of our interview process includes an in-person conversation at our Santa Barbara office, focused on senior-level ownership, judgment, and technical leadership • We are open to hiring great talent who may have qualifications above or below those specifically listed in this job description. Pursuant to California law, we must display the pay range for this job. Since we are willing to hire within a broad spectrum of qualifications, we also reflect a broad pay range.  The base hourly range that we are targeting for this position is $150,000-$210,000 though we can adjust based on individual qualifications. Individual salary is determined by qualifications, role, level, and location. • Compensation and benefits are competitive based on industry standards. Benefits for full-time team members include: