Senior Software Engineer, CrowdStrike

• 7+ years of production-level experience in building, delivering, and maintaining distributed services architecture at scale
• Bachelor's Degree in Computer Science or relevant experience in Data Structures, Algorithms and Distributed Systems
• Ability to design scalable and resilient microservice-based architectures, including clean REST APIs and streaming communication channels
• Strong programming skills either in Go or in Java, C++, Node.js or similar, with willingness to use Go
• Deep understand of multithreading, concurrency, and parallel processing
• A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code
• Cloud Infrastructure Knowledge: AWS or GCP / Azure
• Team player skills – we embrace collaborating as a team as much as possible
• Lead and Mentor junior team members with task detailing and directing execution for software development
• Communication with product management to understand and execute requirements
• Collaborate with multi-functional team in various physical locations

Desirable

• Organizations are scaling their data environments at an increasing rate, leaving massive gaps in visibility into activity on endpoints, in particular, knowing what endpoints are there to begin with
• These evolving, heterogeneous environments are immensely difficult to protect because there’s no single-pane-of-glass visibility clarifying what machines (both virtual and physical) comprise the environment to begin with
• Our team is looking to hire a Sr. Cloud Engineer to join our Falcon Exposure Management team
• You'd be a part of the engineering and delivery of an infinitely scalable and instantly deployable real-time application that allows companies to quickly identify and eliminate malicious or noncompliant activity by providing unmatched visibility into the devices, containers, systems, users and applications in their network
• You’d be joining a team of backend-focused developers who work primarily in Golang, Kafka, Cassandra, Elasticsearch, Docker/Kubernetes, and AWS-native services, making use of distributed/micro-services based architecture to build features for our highly available cloud SaaS platform, Falcon
• Lead the engineering efforts and architectural design of an application meant to scale to billions of processed data points
• Work with and mentor a team of highly skilled and dedicated engineers
• Work collaboratively with members across multiple teams in order to define cross-functional technical features
• Drive the design and implementation of the main business data flows
• You’ll use: Golang, Kafka, Cassandra, Elasticsearch, Redis, AWS, Git, Docker, Kubernetes