The role involves being instrumental in groundbreaking research into vulnerabilities and exposures, engineering cutting-edge exploits and robust vulnerability tests, and building and maintaining essential, high-impact tooling.
Compensation
$162,700.00 - $263,175.00/yr
Responsibilities
Develop and maintain a comprehensive, industry-leading repository of vulnerability content to enhance detection and mitigation strategies.
Shape and drive the tactical response to zero-day and critical vulnerabilities across all attack surfaces, ensuring rapid containment and mitigation.
Conduct research and testing, enhance automation processes, and ensure a smooth workflow for identifying, validating and mitigating security risks.
Analyze existing solutions, identify barriers to quality, recommend changes, then implement.
Take part in architecture strategy sessions; design solutions that accommodate the requirements of the various groups across Cortex.
Requirements
Nice to have: patch management
Nice to have: WSUS
Nice to have: SCCM
Nice to have: enterprise/cloud deployed embedded systems
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
Responsibilities
Design, implement, and test enhancements to Control APIs and services, including rule evaluation, policy enforcement, advanced optimizations, and real-time usage insights, using Go on Kubernetes / GCP.
Build scalable systems for telemetry shaping and cost control, such as ingest policies, aggregation, sampling policies, utility scores & recommendations, and usage-based controls.
Partner closely with Product and Design to deliver customer-facing experiences that make it easy to understand telemetry cost drivers and take safe, effective action.
Own the operational quality of what you ship: instrumentation, alerting, debugging, incident response, and performance tuning for production workloads.
Collaborate across product, design, platform, infrastructure, and developer experience teams to integrate Control decisions into the broader ingestion, query, and storage ecosystem.
Lead the technical roadmap and ship features that redefine how teams collaborate during mission‑critical moments for Chronosphere’s observability platform.
Compensation
$147,000.00 - $237,500.00/yr
Responsibilities
Directly impact how customers leverage observability for their infrastructure and services architecture
Leverage AI infrastructure like LLMs, ML to build innovative capabilities for our customers
Design experiences and systems for contextualizing large amounts of telemetry data
Help shape the architecture of a rapidly scaling platform
Collaborate with deeply technical teammates and customers
Lead AI research to advance cybersecurity capabilities of large language models and autonomous AI agents.
Compensation
$163,200.00 - $264,000.00/yr
Responsibilities
Develop high-quality security data, realistic training and evaluation environments, reliable graders, and post‑training methods for complex cybersecurity tasks spanning vulnerability research, threat analysis, detection, investigation, remediation, secure coding, and autonomous security workflows.
Design reproducible training and evaluation environments for complex cybersecurity tasks.
Transform source‑code repositories, vulnerabilities, security incidents, malware samples, threat intelligence, detection logic, patches, test harnesses, and security tools into structured tasks for LLMs and AI agents.
Build reliable graders, verifiers, and reward signals using tests, compilation, runtime behavior, security‑tool outputs, detection results, vulnerability reproduction, and other domain‑specific validation methods.
Design evaluations for security reasoning, code understanding, threat analysis, root‑cause analysis, tool use, long‑horizon execution, and autonomous task completion.
Requirements
BS/MS degree in Computer Science, Machine Learning, Artificial Intelligence, Cybersecurity, or a related field, or equivalent practical experience.
Nice to have: reinforcement learning environments
Sr Principal / Architect Engineer Software - Backend, Alerting (Chronosphere)
Lead and architect backend alerting solutions for a cloud-native observability platform.
Compensation
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
Responsibilities
Design, implement, and ship enhancements and new features to core product capabilities using Go, deployed on Kubernetes across cloud platforms such as AWS and GCP
Design, implement, and deliver complex product features that address key customer pain points, collaborating closely with cross-functional teams—including product management, design, and engineering—to ensure alignment and impact throughout the development lifecycle.
Work closely with talented engineers in a fast-paced environment that fosters accelerated learning, continuous growth, and career development
Think beyond implementation—challenge assumptions, refine designs based on user feedback, and take ownership of delivering polished, effective user experiences.
Lead development of user experiences that surface critical insights at a glance, streamline troubleshooting, and reduce cognitive load during high-pressure situations.
Serve as a primary architect and technical visionary for ADEM Agent/Client software, focusing on performance, security, and stability across millions of endpoints.
Compensation
the starting base salary (for non-sales roles) ... is expected to be the annual range $147,000.00 - $237,500.00/yr. The offered compensation may also include restricted stock units and a bonus.
Responsibilities
Define the long-term architectural vision for the ADEM Agent across Linux, Windows, macOS, and mobile platforms
Lead the 'Design Review Board' for all Agent-side features
Drive the evolution of the Agent's telemetry collection and processing pipeline
Partner with Product Management, Core Infrastructure, and Security teams
Mentor Staff and Senior engineers
Requirements
BS/MS/PhD in Computer Science or a related technical field
The role involves designing and building a core classification engine that powers multiple security solutions across the platform, working at the intersection of large-scale systems and applied AI.
Responsibilities
Build and scale AI-driven data classification and detection capabilities for next-generation data security products
Design systems that identify, classify, and protect sensitive data in real time across cloud and endpoint environments
Lead technical design discussions and influence architecture for large-scale data processing systems
Partner with product, infrastructure, and other engineering teams to deliver tightly integrated solutions
Raise the technical and collaborative bar by mentoring and sharing knowledge