Top Tech Jobs & Startup Jobs in Seattle, WA

Research and implement macOS detection techniques and build them into production endpoint sensor features. Drive projects from concept through release, collaborate cross-functionally, troubleshoot issues, and apply secure, high-performance engineering practices using Swift/C++ and related tools.

Design and develop Linux software for a cybersecurity product, owning features from design to delivery while collaborating with a distributed team.

Lead CrowdStrike's Data Security product portfolio by defining multi-year strategy, managing senior product managers, aligning cross-functional teams (Engineering, Sales, GTM), influencing executive stakeholders, driving market and go-to-market strategies, and leveraging AI to scale data protection across endpoint, cloud, SaaS, and AI environments.

Design and build a greenfield product that reasons over large-scale data with agentic, LLM-backed systems. Architect high-throughput distributed systems, take AI prototypes to production, ensure reliability, cost and correctness, design safety guardrails for autonomous reasoning, and set engineering standards for quality, testing, and observability.

The Principal Product Manager will oversee strategy and roadmap for CrowdStrike's threat detection technologies, collaborating with engineering and marketing to enhance detection capabilities and engage with customers.

Lead deep-dive Windows sensor performance investigations from triage to shipped fixes. Develop and extend ETW/WPP diagnostic instrumentation, analyze WPA/ETL traces (ETWReader) for bottlenecks and CPU attribution, author performance PRs, and close sensor observability gaps. Interface with customer escalations and drive architectural improvements for Falcon sensor interactions with Windows subsystems.

Design and build tools and automations to deploy and manage CrowdStrike's cloud infrastructure. Collaborate with cross-functional partners to deliver reliable full-stack solutions using React and Go, integrate REST/GraphQL APIs, implement CI/CD and automated tests, emphasize security and documentation, and leverage AI to improve workflows and decision-making.

Design and implement scalable backend services and data pipelines for exposure and risk intelligence. Build Golang/Python microservices, integrate messaging (Kafka), manage databases and cloud infrastructure, ensure reliability and monitoring, mentor engineers, and collaborate cross-functionally to deliver risk scoring, attack-path analysis, and remediation automation for hybrid environments.

Design, build, and scale cloud-side detection systems for large distributed data streams. Implement backend services (primarily in Go), integrate ML models, work with distributed datastores and streaming systems, mentor engineers, and ensure reliable, testable production deployments in cloud environments.

Lead and coordinate large-scale sensor platform and cloud engineering programs, driving schedules, resolving infrastructure and build-system issues, managing cross-functional global stakeholders, and creating AI-powered dashboards, integrations, and agentic workflows to automate reporting and surface operational insights.