Top Tech Jobs & Startup Jobs

Develop and maintain CrowdStrike's macOS sensor using C/C++ and Swift. Design and deliver core endpoint features across OS subsystems (file system, memory, process, networking), optimize for concurrency, performance, and reliability, own features end-to-end, collaborate with distributed teams, and troubleshoot customer-reported issues.

Design and train LLMs and agentic systems for cybersecurity using RLHF/RLAIF and supervised fine-tuning. Build agent architectures, tooling, retrieval/memory, and evaluation pipelines with rigorous statistical benchmarking. Optimize prompts and inference, collaborate with engineers to productionize prototypes, and drive research on agent planning, safety, and reliability.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

Conduct cloud-focused Red Team/Blue Team (CRTBT) engagements, emulating adversary TTPs against customer cloud environments, collaborate with client SOC/IR teams, manage engagements end-to-end, develop automation and tooling for adversary emulation, and recommend long-term enhancements to improve cloud detection and response.

Perform proactive and active threat hunting across government cloud environments, analyze adversary activity, develop and implement detections, conduct intrusion and forensic analysis, contribute to threat intelligence and detection engineering, and communicate findings to technical and executive stakeholders while enhancing Falcon platform capabilities.

Design and build automation tools, dashboards, and systems to deploy and manage cloud-based infrastructure. Collaborate with cross-functional teams to analyze requirements, implement reliable full-stack solutions (React front-end, Go back-end), improve CI/CD pipelines, and maintain production stability while meeting government background/clearance requirements.

Lead research and engineering of production-grade LLM/GenAI systems for cybersecurity: design models and architectures, drive data labeling and evaluation, collaborate with product and engineering to deploy scalable solutions, mentor data scientists, set technical strategy, and advance AI safety, red-teaming, and applied ML innovations for detection and operational use.

Design and build highly scalable cloud-native microservices and platform components for AI Detection and Response, ensure reliability through testing and root-cause analysis, integrate with CrowdStrike services/APIs, mentor engineers, and drive operational excellence for production systems handling massive event rates.

Design and build highly scalable cloud-native microservices and platform components for AI Detection and Response. Own architecture, testing, monitoring, and operational excellence; integrate with CrowdStrike services; troubleshoot distributed systems; mentor engineers and drive secure, reliable deployments at scale.

Build and scale test automation and contract testing frameworks for AI-driven detection systems across cloud, agent, and browser extension surfaces. Expand unit, integration, contract, and end-to-end coverage, define AI efficacy testing, implement observability and quality telemetry, and collaborate with SRE and engineering to ensure reliable, high-performance SaaS deployments.