As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We\'re proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. The future of cybersecurity starts with you. CrowdStrike is seeking an experienced Software Development Engineer to join our AI Detection and Response (AIDR) Cloud team. In this role, you will architect and build the next generation of AIDR services that processes millions of AI security events per second and manage petabytes of critical AI data. We\'re seeking innovative problem-solvers who can take ownership of complex technical challenges across our platform. This is an opportunity to work at unprecedented scale with cutting-edge cloud technologies while making a direct impact on organizations worldwide protecting them from sophisticated AI based threats. PLEASE NOTE: This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations. Building reusable platform libraries that accelerate development across multiple engineering teams Drive operational excellence through rapid issue resolution, thorough root cause analysis, and proactive system improvements Collaborating effectively across engineering teams to drive testing best practices Design and implement highly scalable microservices, frameworks and platform components Develop comprehensive tests focusing on reliability, accuracy and performance Drive root cause analysis for production issues and implement preventive measures Mentor team members on secure coding practices, testing methodologies and cloud-native development 10+ years of software development experience in building Enterprise grade products ~5+ years of experience in developing microservices that run in cloud native environments ~ Strong computer science fundamentals (algorithms, data structures, distributed systems) ~ Expertise in at least one cloud native programming language: GO, Python, Java ~ Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Cloud architectures and microservices Web Services: REST, gRPC, Protocol Buffers or similar API technologies Data storage systems: PostgreSQL, Redis or similar databases Docker, Kubernetes or similar orchestration platforms Proven track record of deploying services to at least one of cloud environments (AWS/OCI/Google Cloud Platform/Azure) Experience with cloud monitoring, profiling and optimization tools Bonus Points: Previous experience in cybersecurity companies or security-focused products Deep understanding of AI/ML security challenges, threats and mitigation strategies Experience with real-time data processing systems (Kafka, Pulsar, Splunk) Hands-on experience with working in cloud environments such as Oracle Cloud Infrastructure (OCI), Google Cloud Platform (Google Cloud Platform) and/or Microsoft Azure AWS and API Gateway Golang experience Highly scalable and performant Cloud Native Service experience on AWS MLOps experience including model deployment, monitoring, and lifecycle management Experience with ML model evaluation frameworks and metrics (precision, recall, F1, AUC-ROC, drift detection) Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML Experience implementing CI/CD pipelines for ML models and automated retraining workflows Knowledge of model versioning, experiment tracking, and feature store implementations Experience with A/B testing and canary deployments for ML models in production Experience with ML observability platforms and model performance monitoring in production #Market leader in compensation and equity awards Competitive vacation and holidays for recharge Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities We support veterans and individuals with disabilities through our affirmative action program. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at participates in the E-Verify program. CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. S. candidates is $160,000 - $250,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: orcfeed
- Position Id: 24116_5007291321303612142--ff8da636f32425e9c0dc1da649996ccf
- Posted 6 hours ago
