Principal Software Engineer – Sensor, Telemetry & Observability (Hybrid)

Location: USA - Remote, OR

Salary: $195,000–$290,000 per year, plus bonus eligibility, equity grants, health insurance, 401(k), and paid time off.

Company

Cybersecurity company building an AI-native platform that protects organizations through large-scale distributed systems and endpoint security.

What you will do

• Own the architecture and technical strategy for a unified telemetry and observability platform spanning endpoint collection SDKs, cloud ingestion, decoding, and analytics.
• Design crash-survivable, resource-efficient telemetry collection with priority stream separation and performance-sensitive execution paths.
• Drive structured logging, type safety, data governance, PII auditability, and privacy compliance for telemetry collected at scale.
• Evolve the platform without breaking existing consumers and provide technical direction across multiple sensor teams.
• Own designs through shipped code across endpoint and cloud components on Windows, macOS, and Linux.
• Lead and mentor a distributed engineering team while raising technical standards.

Requirements

• Deep hands-on experience architecting production telemetry, observability, or crash-reporting platforms end to end.
• Strong low-level and systems engineering experience in C/C++, including performance-sensitive and resource-constrained design.
• Experience with structured logging, telemetry governance, and privacy or PII handling at scale.
• Experience evolving platforms without breaking consumers and influencing technical direction across teams.
• Strong debugging skills involving crashes, memory issues, contention, and system performance.
• Ability to lead, mentor, and collaborate in a distributed team, including experience using AI technologies to improve decision-making and efficiency.

Nice to have

• Experience with lightweight, high-performance systems and OS internals across multiple platforms.
• OS-level performance and diagnostic instrumentation such as ETW or PMU/hardware telemetry.
• Experience with KQL, SQL, Snowflake, data lake and analytics stacks, or Go-based cloud services.
• Endpoint security knowledge and experience in Agile, frequently shipping teams.

Culture & Benefits

• Flexible, autonomous work environment with a focus on responsible AI adoption and innovation.
• Comprehensive physical and mental wellness programs.
• Competitive vacation, holidays, and paid parental and adoption leave.
• Professional development opportunities, employee networks, neighborhood groups, and volunteer programs.
• Office culture with world-class amenities and global workplace certification.