Senior Software Reliability Engineer, MixMode

Artificial Intelligence

Salary not provided

Kubernetes

Python

Scala

Java

Kafka

Postgres

Kotlin

MySQL

Spark

Flink

Senior and Expert level

Remote from US

AI-powered cyber security platform

Open for applications

AI-powered cyber security platform

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataSaaSCyber Security

Open for applications

Salary not provided

Kubernetes

Python

Scala

Java

Kafka

Postgres

Kotlin

MySQL

Spark

Flink

Senior and Expert level

Remote from US

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataSaaSCyber Security

Company mission

MixMode's mission is to reduce false positive security alerts by 95% across our customer base and, eventually, the industry.

Job

Company

Role

Who you are

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., PostgreSQL, 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 productionize predictive systems. (Note: ML expertise is not required.)
Ability to improve system architecture and engineering practices over time through design, code review, and mentorship

What the job involves

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
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 productionize 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, postmortems, and continuous system improvements

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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