About The Role

Join Stellar Cyber, a leading cybersecurity company, as a Senior Staff Software Engineer. In this role, you will be responsible for designing and implementing scalable data processing components for our Open XDR platform. You will collaborate closely with machine learning researchers, UI/UX, and product management to ensure alignment with evolving product needs and business goals. This position offers pre-IPO stock options, medical, dental, and vision care, a 401(k) plan, and more.

Design and implement scalable data processing components and supporting features for cybersecurity applications.
Monitor and resolve production stability issues related to the aforementioned components and features.
Collaborate closely with machine learning/security researchers, UI/UX, and product management to ensure alignment with evolving product needs.
Experience in one or more of the following programming languages: Python, Java, Go
Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience
Proficiency in communicating over a text-based medium (e.g., Slack) and can succinctly describe, discuss, and document technical details
3 years of experience with data structures and algorithms in either an academic or industry setting
Experience with cloud computing technologies, including containerization, orchestration, and deployment (Docker, Kubernetes, etc)
3 years of experience with software development or 2 years of experience with an advanced degree in an industry setting
2 years of experience with developing backend functionalities, distributed systems, APIs (REST / gRPC), and microservices for machine learning or other data intensive projects
PhD in Computer Science with a research focus on software systems
Experience with developing backend components, such as threat detection engines, in a cybersecurity product
Experience working on machine learning platform teams and/or building tools and frameworks for researchers
Experience with observability frameworks and practices in machine learning systems
Knowledge of machine learning and/or SecOps concepts is a plus

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