CrowdStrike

Engineer

• Ensure a reliable and tested platform that provides comprehensive application performance monitoring and distributed tracing
• Architect, test and build a large scale observability platform leveraging Sentry and distributed tracing solutions
• Design and implement end-to-end tracing across microservices architecture
• Build, test and deliver kubernetes operators
• You will participate in 24x7 on-call rotations (monthly or bi-monthly)
• Participate in regular retros, capacity and planning meetings with your team, allowing team collaboration and discussions in a high fidelity manner
• Be part of "lunch and learn" demos: for new POCs or design sessions to work out new architectures
• Responsible for reviewing new design proposals from your peers

Senior Engineer – Observability Tracing

Sales

• Facilitate, operationalize, and enrich SDR onboarding, ramp & readiness enrichment programs, and contribute to ongoing development and delivery of existing sales excellence internship enrichment curriculum and technical series
• Cross-departmental collaboration to facilitate IT onboarding, HR onboarding & New Hire 2 Week onboarding
• Deliver engaging and inclusive in-person and virtual content, freeing up front line manager bandwidth
• Provide learning admin support, including intranet communications, and content repository site management
• Provide coach-backs to SDR sellers to ensure an optimal ramping experience
• Streamline & measure the success of enrichment offerings through collection of data via our feedback loop of excellence
• Provide insight into your region’s unique enrichment needs based on feedback, data analysis, and interactions with new hires & sales development employees
• Effectively communicate the "WHY" for enrichment programs and materials, and ensure sales development adoption

Sales Programs Enrichment Specialist

DevOps Engineer

• Deploy and configure AI-powered network monitoring, alerting, and analytics platforms
• Implement and maintain AI-driven anomaly detection systems for proactive network correlation and issue identification
• Configure and optimize automated remediation workflows using intelligent platforms and existing tools
• Ensure network telemetry and metrics are properly integrated with machine learning platforms for effective analysis
• Fine-tune intelligent alerting systems to reduce noise and improve signal quality for network operations
• Utilize smart correlation tools to accelerate incident detection and resolution processes
• Support and maintain AI-enhanced infrastructure, ensuring high availability and performance
• Identify opportunities to enhance network operations through better utilization of intelligent automation capabilities
• Create and maintain documentation for automated procedures, configurations, and best practices
• Work with Network Engineering and TechOps teams to integrate intelligent solutions into existing workflows
• Participate in a 24x7 on call rotation to ensure continuous support of network operations

Network Reliability Engineer III

Analyst

• Provide technical leadership for a Fireteam consisting of Analysts
• Coach and mentor through one-to-one sessions with the Analysts, supporting the Fireteam Manager in creating development plans and goals for the team
• Conduct monitoring and perform in-depth analysis of security alerts, and execute on incident handling processes across Windows, Mac, and Linux platforms
• Develop and improve processes for incident detection, triage, and the execution of countermeasures
• Produce high-quality written and verbal communications, recommendations, and findings to leadership
• Serve as the technical escalation point and lead for high severity incidents
• Provide oversight and quality assurance for the Fireteam, including the delivery of constructive feedback to help with development and performance planning
• Work with leadership to create and manage projects and activities that align with the Falcon Complete mission and goals

Principal Analyst, Falcon Complete

Sales Engineer

• Deliver technical product presentations & demonstrations.
• Configure product installations and customisations in a POV engagement
• Collaborate with the Product Management team as a liaison for key accounts and their technical product requirements.
• Provide informal training to the Sales team on CrowdStrike technology and support for technical sales and competitive messaging.
• Work as a Trusted Advisor within our prospects and customers in order to gain mind-share and ensure project success.

Regional Sales Engineer, West Africa

Customer Success Manager

• Execute operational activities to support Customer Success, including reviewing price quotes, assigning account team members, formatting and sending automated customer communications
• Work closely with Customer Success, and with cross-functional teams, to ensure effective execution of operational activities
• Develop and maintain a deep understanding of our Customer Success tools, processes and procedures
• Provide internal end-user support for Customer Success tools
• Identify areas for process improvement and propose solutions to increase efficiency and scalability

Customer Success Operations Analyst II

Developer Relations

• Own the Vendor Schema Registry: You will build and maintain the systems that ingest, parse, and version vendor API specifications like OpenAPI, Swagger, Smithy, and others.
• Build the Semantic Validation Pipeline: Correctness, not throughput, is your SLO.
• Build the Developer Experience: You will design and maintain the internal tooling, SDKs, scaffolding, and documentation systems.
• Close the Loop Between Schema and Graph: You will work closely with the Knowledge Engineers and Ontologists.
• Raise the Floor for Downstream Teams: You will invest in the documentation, tooling, and validation guardrails.

Senior Software Engineer, Vendor Semantics, Developer Experience

Infrastructure Engineer

• Provision and configure large GPU clusters and compute resources for LLM training, finetuning, and inference workloads.
• Develop and optimize LLM model-serving infrastructure, including deployment and optimization of various inference frameworks.
• Lead model lifecycle management including versioning, checkpointing and reproducibility across training and inference deployments.
• Design and champion robust evaluation frameworks to assess model performance, accuracy, and reliability, ensuring AI systems are consistently at production-ready standards.
• Identify and address GPU utilization and GPU memory efficiency bottlenecks and apply techniques like quantization, batching, and caching.
• Architect and maintain data platforms and pipelines specifically designed to support LLMs, Retrieval-Augmented Generation (RAG), and AI Agentic Systems at scale.
• Deliver production-ready code with a focus on performance, maintainability, and testing rigor, ensuring the ability to ship fast without compromising quality.
• Apply expertise in data modeling, normalization, and semantic cataloging for AI/ML workloads.
• Define and enforce best practices for MLOps/DataOps surrounding LLMs, including monitoring, observability, and zero-touch recovery mechanisms for AI services.
• Document architectural designs thoroughly and communicate technical decisions clearly to stakeholders.
• Collaborate across the organization with Data Scientists, Product Managers, and other engineering teams to transform research prototypes into robust, production-grade services.

Senior AI Infrastructure Engineer, LLM/AI Platforms

Risk

• Define and lead the enterprise data governance strategy, framework, and operating model
• Establish policies, standards, and procedures for data quality, metadata, lineage, privacy, and lifecycle management
• Align governance initiatives with business objectives, regulatory requirements, and risk management priorities
• Lead and facilitate data governance councils, working groups, and steering committees
• Partner closely with business leaders, data owners, and data stewards to drive accountability and decision-making
• Ensure clear accountability for data quality, definitions, and usage
• Establish and monitor data quality frameworks, KPIs, and remediation processes
• Oversee implementation and adoption of data catalog and metadata management tools
• Ensure adherence to data-related regulatory requirements (e.g., privacy, security, retention)
• Drive widespread adoption of data governance practices across the organization

Director, Data Governance

• Own and expand relationships within 10-15 strategic Defence and National Security accounts, including MOD, Intelligence agencies, CNI
• Build multi-year account strategies aligned to departmental cyber roadmaps, capability development programmes, and procurement cycles
• Navigate complex stakeholder environments including SROs, CISOs, CTOs, and military leadership up to 2*/equivalent grade
• Articulate how CrowdStrike's Threat Graph, elite adversary intelligence, and sub-second response capabilities defend against APT groups actively targeting UK national security
• Position our platform within the context of NCSC guidance, Defence Cyber Strategy, and compliance mandates
• Build and manage a robust pipeline through strategic opportunity identification
• Orchestrate complex, multi-stakeholder sales cycles typical of government procurement
• Deliver accurate forecasting in alignment with fiscal year and departmental budget cycles
• Lead virtual teams including Solutions Engineers, Threat Intelligence briefers, technology specialists, Public Sector policy experts, and C-suite executives
• Collaborate with strategic partners and systems integrators embedded in defence programmes
• Coordinate with our Government Affairs team on policy alignment and strategic initiatives

Regional Sales Manager, Public Sector

Product Manager

• Own the product strategy and roadmap for your area of the sensor, and connect it to the security outcomes customers and the business care about.
• Prioritize work by customer value, risk reduction, performance impact, and engineering cost, making the tradeoffs explicit so decisions stay visible and defensible.
• Partner closely with sensor, platform, and cloud engineering teams to break large technical initiatives into sequenced, shippable milestones.
• Run the full lifecycle for your features: discovery, requirements, rollout, and iteration, with telemetry that tells you whether the bet is working while you can still change course.
• Gather and synthesize input from customers, field teams, detection content teams, and other internal product teams to understand real workflows and adoption blockers.
• Work with engineering on sensor reliability, performance, and resource use across operating systems, including safe rollout patterns such as staged deployment, kill switches, and fallback paths.
• Define and track the metrics for your area (deployment coverage, upgrade velocity, crash rates, performance budgets, feature adoption) and use them to guide what comes next.
• Write clear problem statements, PRDs, and success metrics that engineering can build against.

Senior Product Manager – Falcon Sensor

AI Engineer

• Design, develop, and deploy production-ready AI agents that support critical workflows across the enterprise.
• Deliver cost-effective, secure, and scalable solutions that integrate seamlessly into business processes.
• Rapidly prototype, test, and refine agents to ensure high performance and adoption.
• Build evaluation datasets, measure outcomes, and optimize for both functionality and cost.
• Work with stakeholders across the business to identify where AI can deliver real value.
• Redesign workflows with agents at the center, balancing innovation with empathy for change management.
• Share hands-on expertise, frameworks, and tools that help colleagues across CrowdStrike build better agents.
• Continuously evaluate new AI capabilities, frameworks, and standards, adapting solutions to ensure long-term impact, security, and scalability.

Senior AI Agent Developer

Analytics Engineer

• Implement cost monitoring and alerting solutions across cloud platforms under senior guidance
• Develop scripts and automation tools to support cost optimization workflows
• Assist in building cost allocation and tagging implementations for accurate cost attribution
• Create and maintain cost optimization dashboards and reporting tools
• Support integration efforts between cloud billing APIs and internal systems
• Contribute to tooling development that supports FinOps processes across product and platform groups
• Help implement cost guardrails and automated policies to prevent cost overruns
• Assist in developing cost data collection and processing pipelines
• Support technical documentation creation for cost-efficient infrastructure patterns
• Participate in code reviews and technical design discussions
• Work closely with senior engineers to learn FinOps best practices and cost optimization techniques
• Collaborate with product engineering teams to understand cost optimization opportunities
• Support Infrastructure Foundations Program technical initiatives
• Monitor and maintain existing cost management tools and systems
• Assist in troubleshooting cost-related technical issues
• Help implement and test cost optimization recommendations
• Support data quality initiatives for cost reporting accuracy
• Participate in on-call rotation for cost management systems

Engineer II – FinOps Data Analytics

Cloud Engineer

• Develop Go-based microservices to support new and existing features which help detect cyber attacks
• Take end-to-end ownership for the delivery of projects of increasing complexity
• Relentlessly pursue quality by following engineering best practices
• Utilize Kafka for event-driven workflows; and Cassandra, ElasticSearch, or PostgreSQL for data storage
• Provide on-call monitoring and operational & customer support for production services owned by our team
• Reflect thoughtfully to improve architecture, models, user experience, performance, and stability following rapid prototyping

Software Engineer III – Cloud Security

Technical Product Manager

• Define and own the long-term product vision and strategy for the Product Analytics team, ensuring alignment with organizational goals, customer needs, and market trends while influencing executive-level product decisions.
• Lead the development, maintenance, and communication of a multi-horizon product roadmap, making strategic prioritization decisions that weigh short-term delivery with long-term platform investment.
• Own and govern the full product backlog, ensuring all initiatives are clearly defined, properly prioritized, and aligned to business value and customer impact.
• Drive the end-to-end requirements process from stakeholder discovery through to detailed user stories and acceptance criteria, thus ensuring engineering teams have the clarity needed to deliver with confidence.
• Serve as a deeply engaged technical partner to Engineering teams, contributing to architectural discussions, evaluating technical trade-offs, and ensuring proposed data solutions are scalable, maintainable, and aligned to product goals.
• Build and maintain strong relationships with executive and senior leadership stakeholders, proactively communicating roadmap progress, risks, trade-offs, and strategic recommendations with clarity and confidence.
• Lead engagement with internal and external stakeholders to gather feedback, validate product decisions, and champion the voice of the customer throughout the product development lifecycle.
• Establish and own the framework for measuring product success, defining KPIs, interpreting analytics, and using data to continuously refine and improve the product experience.
• Partner with operations, enablement, and customer success teams to lead the go-to-market strategy for new features and capabilities, including rollout planning, documentation, training, and stakeholder communication.
• Proactively identify, escalate, and mitigate risks, dependencies, and trade-offs across the product portfolio, ensuring leadership has full visibility into delivery health and strategic implications.
• Mentor and provide guidance to junior product owners, managers, and analysts by conducting reviews, sharing best practices, and contributing to the overall growth and maturity of the product management discipline at CrowdStrike.
• Lead ongoing research into industry trends, competitive landscape, and emerging technologies relevant to managed detection and response, translating findings into strategic product opportunities.
• Define and maintain the highest standards for product data documentation including product analytics metrics, defined operational standards, and product data catalog.