Engineer III, Cloud-Falcon For IT (Remote)

About CrowdStrike

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 Product: Falcon For IT

Falcon For IT is our newest product release which helps IT & Security teams to get answers to the most difficult questions about their infrastructure, apps and endpoints, utilizing our Charlotte AI to ease usability and speedup response and remediation of issues. The product is a cloud based solution allowing customers to query their entire endpoints to address IT challenges working in synergy with our Sensor, which is a driver installed on client machines that observes system activity and apps, recognizes malicious behavior, then provides on-box prevention capability and remote telemetry to the cloud.

About the Role

We are seeking an experienced Back-End engineer to be part of the core Falcon For IT product group. In this role, you will be part of the cloud engineering team, responsible for the heart of the Falcon For IT module, working closely with other teams such as UI and Sensor.

• Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products.
• Leverage and build cloud-based systems in a micro-service driven environment.
• Brainstorm, define, and build collaboratively with members across multiple teams.
• Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team.
• Be mentored and mentor other developers on web, backend and data storage technologies and our system.
• Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability.
• Be an energetic ‘self-starter’ with the ability to take ownership and be accountable for deliverables.
• Use and give back to the open-source community.

We embrace a remote-first culture and this role is fully remote.

What You'll Use

• Go (Golang)
• AWS
• Kafka
• GIT
• ElasticSearch
• Redis
• Python

What You'll Need

• Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems).
• The ability to scale backend systems – sharding, partitioning, scaling horizontally are second nature to you.
• The desire to ship code and the love of seeing your work run in production.
• Deep understanding of distributed systems and scalability challenges.
• Deep understand multi-threading, concurrency, and parallel processing technologies.
• Team player skills – we embrace collaborating as a team as much as possible.
• A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.
• The ability to thrive in a fast paced, test-driven, collaborative and iterative programming environment.
• The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

Bonus Points

• Authored and lead successful open-source libraries and projects.
• Contributions to the open-source community (GitHub, Stack Overflow, blogging).
• Existing exposure to Go, Scala, AWS, Cassandra, Kafka, Ela