Senior Software Engineer, MixMode
AI Reliability
$150-210k
AI-powered cyber security platform
Be an early applicant
AI-powered cyber security platform
21-100 employees
Be an early applicant
$150-210k
21-100 employees
Company mission
MixMode's mission is to reduce false positive security alerts by 95% across our customer base and, eventually, the industry.
Role
Who you are
- 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
What the job involves
- We are hiring a Senior Software Engineer to enhance the reliability, performance, and scalability of our production AI systems. We value clear thinking, incremental improvement, and engineers with real production incident experience
- This role focuses on understanding, refining, and strengthening existing distributed services across application, database, and container orchestration layers. You will collaborate with ML researchers to make our systems more robust, maintainable, flexible, and scalable
- 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
Application 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
- 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
Our take
Cybersecurity solutions providers have long been playing catch-up against attackers, but MixMode is attempting to disrupt the cybersecurity market with an AI-enabled, self-learning platform.
With both a significant talent shortage in the cybersecurity industry and a rapidly shifting attack landscape, MixMode’s platform is designed to anticipate and prevent novel attacks, which make up as much as 80% of successful attacks, while also massively reducing false positives (when an alert wrongly detects a suspicious activity).
MixMode platform is the first of its kind to meet DARPA’s “third wave AI” criteria, meaning that it needs no training data, no manual data input or configuration. It’s little surprise, then, that the company has been quick to raise venture capital backing as it looks to double down on its momentum.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Mar 2022
$45m
SERIES B
Apr 2020
$4m
SERIES A
Total funding: $62.3m
Company benefits
- Compensation and benefits are competitive based on industry standards
- Medical & dental insurance
- Paid time off
- Remote work friendly for most roles
Company HQ
Oak Park, Santa Barbara, CA
Leadership
John Keister
(Co-Founder & CEO)Managing Partner at early stage investment firm Varenne Partners. Co-founded and was President, COO & Board Director at now public Conversation Intelligence company Marchex. Is on the Board of Directors at Limeade, TINYpulse (acquired by Limeade), Portfolium (acquired by Instructure), and SPARQ (acquired by Yahoo!).
Igor Mezic
(Co-Founder, Chief Scientist & CTO)Is a Professor of Mechanical Engineering and Director of the Center for Energy Efficient Design at University of California, Santa Barbara. Former Associate Professor, School of Engineering and Applied Sciences at Harvard. Is on the Board of Directors at iFluidics, Inc. and Aimdyn, Inc.
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