CrowdStrike

Artificial Intelligence

• Design, develop, test, and deploy features that directly impact CrowdStrike products
• Collaborate with engineers, data scientists, and product teams to build scalable backend systems and AI-powered capabilities
• Deploy machine learning techniques to develop highly accurate models
• Solve complex technical problems with a high degree of ownership and autonomy
• Build and maintain reliable APIs, data pipelines, and backend services
• Apply machine learning and AI technologies to improve product capabilities and user experiences
• Develop automated tests and contribute to overall software quality and reliability
• Participate actively in architecture, design, and code reviews
• Continuously learn new technologies, industry trends, and emerging research relevant to AI and cybersecurity
• Contribute ideas and innovations in a fast-paced, customer-focused environment

Engineer I, Agentic AI

Cloud Engineer

• Design and maintain the overarching Atlassian Cloud architecture, defining standardized templates, reusable patterns, and user permissions across various business units.
• Lead end-to-end migrations (Data Center and Cloud) or other toolchains to Atlassian Cloud.
• Evaluate, approve, and manage Atlassian Marketplace applications for security, scalability, and operational fit.
• Translate business and engineering needs into structured workflows and practical automation rules to reduce manual friction.
• Design traceability models linking requirements to delivery, testing, and operational handovers to ensure regulated SDLC practices are maintained.
• Bridge the gap between non-technical stakeholders and engineering teams and provide technical mentorship.

Atlassian Cloud Architect

Data Scientist

• Lead the architecture and technical strategy for large-scale retrieval, ranking, vector search, RAG, and anomaly detection systems operating at enterprise scale
• Drive innovation across LLMs, AI-powered discovery, personalization, and autonomous AI workflows
• Define the future direction of AI-driven reasoning, ranking and investigation capabilities across the platform
• Own end-to-end AI/ML architecture, including data pipelines, feature engineering, model development, deployment, monitoring, evaluation, and continuous improvement
• Establish scalable architecture patterns, engineering standards, experimentation frameworks, and operational best practices across multiple teams
• Drive foundational investments and technical direction across AI platforms, retrieval infrastructure, model-serving systems, and ML tooling
• Balance model quality, customer experience, latency, scalability, reliability, security, and infrastructure cost when making architectural decisions
• Define evaluation methodologies, experimentation strategies, and success metrics to assess product, model, and business impact
• Partner closely with Product, Engineering, Security, Infrastructure, and Operations teams to identify high-value opportunities and deliver scalable AI solutions
• Communicate technical trade-offs, recommendations, and results clearly to both technical and executive audiences
• Lead highly ambiguous, multi-quarter initiatives spanning Product, Engineering, Data Science, and other stakeholders
• Influence organization-wide technical strategy, investment priorities, and long-term AI roadmap decisions
• Represent the organization in executive reviews and drive alignment on major technical and product initiatives
• Mentor junior scientists while fostering a culture of technical excellence and innovation

Senior Data Scientist – Hybrid

• Own the alignment and interpretability research agenda for security-domain AI
• Set priorities, personally lead the hardest open problems, and develop methods that explain model behavior mechanistically: not just what models do, but why, and what that implies at the edges of their training distribution
• Build and apply techniques for detecting offensive-misuse signal in model internals, including probing for latent representations of vulnerability knowledge, circuit analysis to understand how security-relevant capabilities are encoded, and activation analysis to surface risk that behavioral testing alone would miss
• Work closely with the adversarial evaluation team to close the loop between what they find in testing and what you find in the weights
• Develop alignment methodology for security-domain AI and own the evaluation framework that makes it measurable
• Contribute original research through publications and external engagement
• Recruit, develop, and retain a lean team of research scientists

Director, AI Alignment and Interpretability

Director

• Own and personally drive the full post-training pipeline for security-domain AI — SFT, RLHF/RLAIF, agent-RL, and reward modeling.
• Set research priorities and architectural direction, and lead experimental work on the hardest problems yourself rather than delegating them away.
• Design reward modeling methodology grounded in verified security outcomes rather than proxy signals, drawing on both human expert feedback and automated adversarial evaluation.
• Define data curation standards across sourcing, filtering, quality scoring, and domain weighting that drive measurable capability improvement.
• Build and maintain agent-RL training environments that simulate realistic cyber workflows contributing directly to environment design and reward shaping.
• Lead the design and build of the agent harnesses that run on top of those trained models: scaffolding architecture, tool-calling interfaces, planning and reasoning loops, and memory and context management.
• Develop and own evaluation methodology for the full agentic stack, not model capability in isolation, but harness behavior, tool-use reliability, planning coherence, and end-to-end task completion across realistic security workflows.
• Partner closely with other teams to ensure post-training and agentic work integrates cleanly with the broader model development loop.
• Contribute original research through publications, external presentations, and open-source artifacts where appropriate, building CrowdStrike's credibility as a research-first organization in this space.

Director, Model Post-Training and Agentic Research

Analyst

• Perform initial triage and analysis of security alerts and respond to customer requests and queries.
• Manage the Falcon platform and perform administrative tasks such as configuration changes and tuning.
• Assist incident handling processes across Windows, Mac, and Linux platforms.
• Perform basic malware analysis.
• Produce high-quality written and verbal communications, recommendations, and findings to customer management.

Associate Analyst, Falcon Complete

Security Engineer

• Help us protect CrowdStrike and its customers from the most advanced threats by assessing, designing, and implementing security controls and systems associated with all aspects of the software supply chain.
• Perform technical security assessments of current and new pipelines, monitor for emerging vulnerabilities and anomalous system behaviors, create tooling for known gaps, and deploy large-scale security/monitoring systems.
• Responsible for management of cross-cutting projects to further harden internal systems and processes against active and emerging threats.
• Assess risk and provide security guidance to engineers across the company on systems and software implementations.
• Design and implement tools and processes to secure and monitor software build pipelines, including signing.
• Harden open source code usage, development, and distribution.
• Investigate systems and applications to understand and improve security posture.
• Advocate for best-security practices to the entire engineering organization.
• Manage end-to-end delivery of large-scale, cross-cutting security initiatives to harden CrowdStrike software supply chain systems and processes

Engineer III, Software Assurance – Product Security

Engineering Manager

• Lead multiple disciplinary teams (backend, frontend, SDET, DevOps, etc.) across Core API and Cloud Provisioning domains to drive roadmap execution and technical strategy.
• Scale our API gateway infrastructure implement AI-powered SKU enablement and service orchestration workflows
• Ensure robust audit data pipelines.

Senior Engineering Manager, CoreAPI, Cloud Provisioning

Threat Intelligence Specialist

• Protect our customer's networks by identifying and understanding intrusions using Falcon Endpoint data and the broader CrowdStrike product suite.
• Analyze adversary activity and communicate those findings to customers as part of our fast-paced time sensitive mission to help stop breaches.
• Undertake research to improve our detection capabilities, understand our adversaries, build tools, or work with other CrowdStrike teams across a broad range of topics and projects.
• Participate in active and passive threat hunting and gain fast-paced experience in dealing with threat actors

Threat Hunter

Backend Engineer

• Build and evolve cloud-based systems to flawlessly manage and distribute configuration information to a fleet of millions of endpoints, collaborating with other cloud, front-end, and endpoint developers
• Brainstorm, design, and build collaboratively with members across multiple teams
• Build elegant and performant solutions for complex technical problems in Go
• Read and critique code in the multiple programming languages in use in our environment (including Go, Python, Unix shell, Typescript, C++, among others), and provide technical guidance and feedback to team members
• Focus on continual learning, raising the bar for both yourself and your teammates
• Leverage our understanding of engineering best practices, including topics like appropriate testing paradigms, effective peer code reviews, logging, and resilient architecture patterns, to ensure that our code is clean
• Be an energetic ‘self-starter’ with the ability to take ownership and be accountable for deliverables, both individually and when leading a team
• Deliver and accept feedback with grace and courtesy
• Collaborate on determining root causes of production outages and adding quality improvements to prevent outages in the future

Senior Engineer, Backend/Cloud – Policy

Program Manager

• Partner and facilitate directly with sensor engineering, cloud engineering, and research teams at all levels; from debugging deployment issues with engineers to providing executive updates on project initiatives
• Demonstrate technical fluency in architecture, cloud infrastructure, build systems, and platform engineering practices in order to align with business objectives and drive project deliverables, resources, and timelines
• Drive technical decision-making processes, facilitating discussions between engineering teams to resolve architectural challenges, infrastructure dependencies, and build system optimizations, exercising sound judgment in decisions involving people, data, and technology trade-offs
• Create and drive project delivery schedules for endpoint and cloud platform initiatives, working with engineering management on task assignments and managing progress of portfolio phases through detailed implementation tasks, including dependencies within and across teams
• Collaborate with multiple worldwide business units (including platform engineers, cloud engineers, SREs, product management, and other engineering teams) to clearly identify, explain, and communicate project involvement, goals, expectations, and deliverables for programs, ensuring alignment with strategic imperatives and customer-facing security capabilities
• Proactively track status of engineering activities and ensure schedules and priorities are met for releases
• Ensure critical infrastructure issues are identified, tracked through resolution, and escalated appropriately, creatively addressing complex problems and managing risks at both project and cross-portfolio levels
• Manage daily/weekly project communication and status reporting for complex platform initiatives
• Coach distributed teams and cross-functional partners on frameworks and shared accountability, synthesizing complex portfolio insights to drive aligned, executable outcomes across the organization

Senior Program Manager – Engineer, CTIO

Full-stack Engineer

• Design and develop software for deployment on macOS systems
• Own features from design to delivery
• Collaborate with multi-functional team in various physical locations
• Troubleshoot issues with the product as reported from customers responsively
• Other projects as assigned

Senior Software Engineer – Sensor, macOS

DevOps Engineer

• Maintain a deep understanding of the data components - including Cassandra, ElasticSearch/OpenSearch, Kafka, Zookeeper, MySQL and PostgreSQL, and use that understanding to operate and automate properly configured clusters.
• Operate and manage databases in Kubernetes (K8s) environments, including cluster orchestration, container image management, and workload deployment.
• Design and implement Kubernetes-native solutions for data services, including StatefulSets, persistent volumes, and resource management for stateful applications.
• Develop infrastructure services to support the CrowdStrike engineering team's pursuit of a full devops model.
• Work closely with Engineering and Customer Support to troubleshoot time-sensitive production issues, regardless of when they happen.
• Keep petabytes of critical business data safe, secure, and available.

Database Reliability Engineer

• Collaborate with all the sensor development teams, across the company, on architecture and strategic initiatives.
• Conceptualize and develop new product features.
• Provide guidance and support to development teams in designing and implementing software for cross-platform delivery (Windows, macOS, Linux).
• Take ownership of features throughout the entire lifecycle, from initial design to final delivery, including presenting product demonstrations at the conclusion of each sprint.
• Engage in cross-functional collaboration with teams situated in various locations.

Senior Software Engineer, Windows Sensor

• Lead efforts in defining and implementing significant components of our new cloud architecture, collaborating with our most senior technologists
• Deliver low-latency and highly scalable services
• Partner closely with our desktop agent and AI teams
• Drive continuous improvement in hiring, design reviews, post mortems, and growing the technical skills our team needs to excel.