Senior Device Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and deliver production software for the identification, fingerprinting, and interaction with network-connected devices across embedded, IoT, and OT/ICS endpoints.

• Create and sustain features within the shared frameworks and services that support device functionality, overseeing the process from design through testing and maintenance.

• Participate in the migration and re-architecture of existing systems.

• Analyze how devices communicate through undocumented web interfaces, protocols, network traffic captures, vendor documentation, and hands-on experimentation, transforming insights into automated product capabilities.

• Diagnose intricate device issues in production, including challenging-to-reproduce and protocol-level problems.

• Utilize AI tools and coding assistants for research, code generation, debugging, test creation, and documentation.

• Author and maintain automated test cases and frameworks to ensure device coverage integrity.

• Guide engineers and engage in code reviews and design discussions.

• Collaborate with product, security research, threat research, and customer-facing teams to translate field requirements into engineering solutions.

⛳️ Requirements

• Over 5 years of experience as a software engineer, demonstrating a successful history of delivering production systems.

• Experience in cybersecurity.

• Strong proficiency in developing and debugging with Node.js, alongside solid foundations in modern JavaScript/TypeScript.

• Familiarity with Go is highly regarded.

• Excellent skills in network protocol analysis: interpreting traffic captures, reconstructing device behavior, understanding undocumented or vendor-specific protocols, and converting findings into patterns and fingerprints (such as regex).

• Proficient in relational databases.

• Strong understanding of Unix/Linux environments, including systems-level debugging and performance analysis.

• Working knowledge of Docker and containerized development and deployment workflows.

• Comprehensive understanding of network transport and application layer protocols (TCP/IP, TLS, HTTP, common authentication schemes, and typical embedded/industrial protocols).

• Experience in effectively using AI coding tools, with discernment regarding when to trust them.

• Strong communication and collaboration capabilities, with the ability to thrive in a fast-paced, evolving, remote-first setting.

• Experience implementing cybersecurity best practices, including secure coding, data protection, and awareness of prevalent threats and vulnerabilities.

• Bonus: experience with ICS/OT environments, embedded systems, or xIoT device security.

• Must successfully pass a background check as a condition of employment.

🏝️ Benefits

• Competitive Equity Package.

• Comprehensive Benefits Plan.