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 teams
- Build and optimize Apache Flink and Apache Spark based data pipelines running on Kubernetes infrastructure
- Design event-driven systems leveraging Kafka for high-throughput, low-latency message streaming
- Take end-to-end ownership of technical initiatives, from design through deployment and operational support across AWS, GCP, OCI, and on-premises data centers
- Develop RESTful APIs and SDKs that enable other teams to easily integrate with streaming platform capabilities
- Work closely with platform consumers, SREs, and engineering teams across the organization to understand requirements and deliver scalable solutions
- Challenge the status quo by continuously improving platform performance, reliability, scalability, and developer experience
- Relentlessly pursue quality through comprehensive testing strategies, effective monitoring and alerting, chaos engineering practices, and resilient architecture patterns
- Implement observability solutions using metrics, logging, and distributed tracing to ensure platform health and performance
- Provide operational support and participate in on-call rotation for production streaming services
- Contribute to platform documentation, runbooks, and best practices for streaming application development
What 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 experience
- 8+ years of software engineering experience with proven track record of building production systems
- Strong understanding of distributed systems, stream processing concepts, event-driven architectures, and scalability patterns
- Proficiency in Java, Python and/or Go for building resilient, high-performance services
- Experience 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 processing
- Solid grasp of containerization and Kubernetes for deploying and orchestrating applications
- Proven ability to translate business requirements into technical solutions and lead projects to successful delivery
- Strong problem-solving skills with experience debugging complex distributed systems issues
- Passion for platform engineering and enabling other teams to build better products
- Excellent communication and collaboration skills across functions and organizational levels
- Ownership mindset – willingness to take initiative and drive issues to resolution
Bonus Points:
- Experience deploying and operating services across multiple cloud providers (AWS, GCP, Azure, OCI)
- Knowledge of data serialization formats (Avro, Protobuf, Parquet) and schema management
- Experience with observability platforms (Prometheus, Grafana, Datadog, Splunk)
- Understanding of data governance, security, and compliance requirements
- Contributions to open-source streaming or distributed systems projects
- Experience with CI/CD pipelines and GitOps practices
- Background in building developer platforms or internal tooling
- Knowledge of exactly-once processing semantics and state management in streaming systems
Core Skills: Data Pipelines, Apache, Kafka, Flink, Storm
Other Skills: Spark, Java, Python, Low Latency, Microservices
Seniority: Senior
