Sr. Software Engineer - Cloud, Data Platform

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 also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. 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. Ready to join a mission that matters? The future of cybersecurity starts with you.About the Role:We are seeking a talented Senior Software Engineer to join our Real-Time Streaming Platform team. Our mission is to provide enterprise-grade streaming processing capabilities that empower teams across CrowdStrike to build real-time data pipelines, perform complex event processing, and derive actionable insights from massive data streams. You'll be building the foundational infrastructure that enables our security products to detect threats, analyze patterns, and respond to incidents in real-time.You'll be designing and developing highly scalable streaming services using technologies like Apache Kafka, Apache Flink, Apache Storm and Apache Spark in Java, Python and Go. You'll design and implement data pipelines that process trillions of events daily, ensuring low latency, high throughput, and fault tolerance. Your work will directly impact how CrowdStrike ingests, processes, and analyzes security telemetry at petabyte scale across our global customer base.Have no fear if you haven't worked with all these technologies – we value strong distributed systems fundamentals, the ability to write production-quality code, and the passion for solving complex engineering challenges. We'll support your growth in streaming technologies and expect you'll be comfortable collaborating with teams distributed across various geographies and time zones.Sounds like a challenge? It is! If that's what you're after, we'd love to hear from you.What You'll Do:Design, develop, and maintain streaming microservices in Java and Go that provide real-time data processing capabilities to internal teamsBuild and optimize Apache Flink and Apache Spark based data pipelines running on Kubernetes infrastructureDesign event-driven systems leveraging Kafka for high-throughput, low-latency message streamingTake end-to-end ownership of technical initiatives, from design through deployment and operational support across AWS, GCP, OCI, and on-premises data centersDevelop RESTful APIs and SDKs that enable other teams to easily integrate with streaming platform capabilitiesWork closely with platform consumers, SREs, and engineering teams across the organization to understand requirements and deliver scalable solutionsChallenge the status quo by continuously improving platform performance, reliability, scalability, and developer experienceRelentlessly pursue quality through comprehensive testing strategies, effective monitoring and alerting, chaos engineering practices, and resilient architecture patternsImplement observability solutions using metrics, logging, and distributed tracing to ensure platform health and performanceProvide operational support and participate in on-call rotation for production streaming servicesContribute to platform documentation, runbooks, and best practices for streaming application developmentWhat You'll Need:Be an empathetic and a team player (Remember: One team. One fight!)Bachelor's or Master’s degree in Computer Science or equivalent practical experience8+ years of software engineering experience with proven track record of building production systemsStrong understanding of distributed systems, stream processing concepts, event-driven architectures, and scalability patternsProficiency in Java, Python and/or Go for building resilient, high-performance servicesExperience with Apache Kafka or similar distributed messaging systems (Pulsar, RabbitMQ, etc.)Hands-on experience with Apache Flink and/or Apache Spark for stream and batch processingSolid grasp of containerization and Kubernetes for deploying and orchestrating applicationsProven ability to translate business requirements into technical solutions and lead projects to successful deliveryStrong problem-solving skills with experience debugging complex distributed systems issuesPassion for platform engineering and enabling other teams to build better productsExcellent communication and collaboration skills across functions and organizational levelsOwnership mindset – willingness to take initiative and drive issues to resolutionBonus Points:Experience deploying and operating services across multiple cloud providers (AWS, GCP, Azure, OCI)Knowledge of data serialization formats (Avro, Protobuf, Parquet) and schema managementExperience with observability platforms (Prometheus, Grafana, Datadog, Splunk)Understanding of data governance, security, and compliance requirementsContributions to open-source streaming or distributed systems projectsExperience with CI/CD pipelines and GitOps practicesBackground in building developer platforms or internal toolingKnowledge of exactly-once processing semantics and state management in streaming systems#LI-MZ1Benefits of Working at CrowdStrike: Market leader in compensation and equity awardsComprehensive physical and mental wellness programsCompetitive vacation and holidays for rechargePaid parental and adoption leavesProfessional development opportunities for all employees regardless of level or roleEmployee Networks, geographic nei