Software Engineer-Machine Learning Infrastructure - Remote Eligible
Stellar Cyber
✨ About The Role
Description
Stellar Cyber is a fast-growing Cybersecurity company focused on delivering holistic cyberattack protection to organizations while significantly reducing total costs of ownership with its innovative Open XDR (eXtended Detection and Response) platform based on advanced ML and security technologies. Stellar Cyber has been recognized by Gartner as one of the leading XDR players.
To accelerate our growth, we are seeking a talented DevOps Manager with startup passion, a can-do attitude, and a desire to make an impact, while building a future for themselves and Stellar Cyber. If you are excited to be part of a very fast-growing team with lots of opportunities, Stellar Cyber is a great place to grow your career.
Responsibilities:
- Understanding of Stellar Cyber’s product in depth
- Develop features and improvements to Stellar Cyber’s machine learning infrastructure, including components for machine learning data streaming, preprocessing, and management, and machine learning model training and inference
- Advocate for improvements to product quality, security, and performance
- Craft code that meets our internal standards for style, maintainability, and best practices
- Work with large scale data systems and infrastructure
- Solve technical problems of moderate scope and complexity
- Collaborate with Product Management and other engineering teams (e.g., Platform, UI/UX) to maintain a high bar for quality in a fast-paced environment.