CrowdStrike
Sr. Software Engineer - Data Platform (London, Hybrid)
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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 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
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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
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Benefits Of Working At CrowdStrike:
Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. 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 recruiting@crowdstrike.com for further assistance.
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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
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