About the Role:
This is a Leadership (Manager 'or' Sr. Manager) position leading our 'Liveness' Streaming Search Platform & Product team(s), which makes our Threat Graph architecture searchable. That's over 3 Trillion events/day representing active threats in customer environments.
You'll be leading engineers who design and build a high-throughput system to partition, filter, query, and join streaming data at the scale of (as stated above) over three trillion events per day. Customers of this system rely on your team's work to generate everything from high-quality training data for large-scale machine learning models to actionable leads that threat hunters can use to track down malicious actors—all to fulfill our core mission of stopping breaches. You'll be managing an agile, distributed team of collaborative engineers who work on all aspects of the system from cloud and datacenter architecture down to low-level performance tuning of event handling and everything in between. If you enjoy building and leading high-performing teams, making strategic technical decisions, and tackling hard problems that don't have well-defined solutions, then you'll fit right in.
We're looking for a manager with world-class experience in leading distributed services / backend contributor teams, solid understanding of computer science fundamentals around multithreading, memory, and data structures, and the ability to guide a team working on a distributed system at CrowdStrike scale. Major plus if you have actually run streaming search teams. Our team builds a large distributed system primarily written in C++ to achieve high performance. While technical expertise is valuable, your primary focus will be on team leadership, strategic direction, and ensuring your engineers have what they need to succeed. As a leader, you'll need to foster a technically fearless environment where your team works together to find the best solution for the task at hand.
The role is open to either full-time remote work or one of our office locations.
What You’ll Do:
Lead and develop a team of engineers working on our Streaming Search and Analytics Platform
Shape the strategic vision for the platform's next phase of growth, focusing on query experimentation, efficient data storage, performance optimization, and streaming query language development
Drive technical excellence while fostering a collaborative, innovative team culture
Partner with cross-functional stakeholders to align team priorities with company objectives
Make critical architectural decisions that balance technical excellence with business needs
Mentor and grow engineering talent within your team
Oversee the design, development, and maintenance of a streaming platform that processes petabytes of data
Lead technical reviews of products and guide the development of new features and stability enhancements
Drive continuous improvement in service efficiency to delight our customers
Spearhead research and implementation of new ways for both internal stakeholders and customers to query their data efficiently
What You'll Need:
5+ years of engineering management experience, preferably leading teams building distributed systems
Strong technical background with experience designing, building, and operating scalable streaming systems
Deep understanding of distributed system architecture and performance optimization
Ability to work with geographically distributed team
Excellent communication skills and ability to translate complex technical concepts to various audiences
Strategic thinking and ability to navigate ambiguity in large, open-ended problem spaces
Track record of successfully delivering complex technical projects
Strong people management skills with a focus on team development and mentorship
Experience with strongly-typed, object-oriented languages (e.g., C++, Java, C#, or similar)
Proficiency with Unix/Linux environments Experience with Git or similar version control workflows
Bonus P oints:
Experience with distributed applications built on various data stores (RDBMS, NoSQL, streaming solutions, etc.)
Knowledge of RocksDB, Apache Kafka, or similar technologies
Familiarity with cloud services (AWS, Azure, GCP)
Background in C++ applications, especially with modern CMake
Experience with monitoring tools such as Graphite, Prometheus, and Grafana
Prior leadership in cybersecurity or intelligence fields
History of contributions to the open source community
MBA or advanced technical degree
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