What You'll Do:
Create and maintain high-performance linux system software components. Analyze complex software features, and build effective test strategies and test designs.
Ensure systems and components reliability and performance through monitoring, testing, and debugging. Debug product issues found through test or customer cases to identify root cause and use the input to improve tests.
Work closely with a team of engineers to support and maintain a culture of high product quality and excellence. Collaborate with cross-functional teams to integrate sensor and cloud solutions. Work collaboratively with product and release management to control risk, improve quality, and streamline our release cycles
Participate in code reviews and provide technical guidance to team members. Participate in engineering best practices, including topics like secure coding, testing paradigms, debugging, performance measurement, code reviews, CI/CD and OS internals, to ensure that our sensor code is fast and reliable
Lead strategic technical initiatives focusing on containers and orchestrators security in both public and private cloud
Other projects as assigned
5+ years of experience working on product features on Linux or Unix in C/C++ with the following characteristics:
high concurrency requirements needing strong use of multi-threading
high reliability requirements
detailed requirements on low-level operating characteristics (memory usage, efficient performance, correct conformance to external standards)
Experience developing production eBPF code for security or networking
Experience designing and developing container runtime engines, software that monitors containers. or optimized virtual machine environments to run containers.
Experiences in programming cloud native workload using public cloud platforms and container technologies include AWS, Kubernetes, Docker, etc.
Experience working on a team to ship major features and releases
Ability to communicate, collaborate, and work effectively in a distributed team
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
