Senior Software Engineer – AI Reliability

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🕒 March 3

🏄 California – Remote

🏄 California – Remote

💵 $150k - $210k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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MixMode

WebsiteLinkedInAll Job Openings

11 - 50 employees

🔒 Cybersecurity

🤖 Artificial Intelligence

💰 $45M Series B on 2022-03

Cybersecurity • Artificial Intelligence

MixMode is a cutting-edge cybersecurity company pioneering the future of threat detection and response with its advanced AI-powered platform. Its platform, built on 'Third Wave AI,' autonomously learns network behavior to detect known and novel cyber threats in real-time, without the need for human intervention or predefined rules. MixMode's technology can identify and respond to threats across cloud, on-premise, and hybrid environments, making it a trusted choice for Security Operations Centers (SOCs) looking to enhance efficiency and reduce alert fatigue. The company aims to revolutionize cybersecurity through its unique self-learning AI, providing unmatched protection against modern cyberattacks, including zero-day and AI-generated threats.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Remote-First Work Culture • 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)