Join Behavox as a Senior DevOps Engineer and advance your career in machine learning infrastructure. Your role focuses on scalable development within AWS and GCP environments to optimize ML models.
This position offers a unique greenfield opportunity to create high-impact infrastructure and tools in a collaborative team. You'll be involved in designing data frameworks, managing Kubernetes, and streamlining CI/CD processes. Your contributions will directly enhance the efficiency and success of machine learning initiatives across the organization.
Key Responsibilities:
- Manage complex distributed software systems
- Design and build scalable, secure infrastructure
- Automate software delivery using CI/CD pipelines
- Develop Python tools and services
- Improve overall cloud infrastructure reliability
Requirements:
- Strong expertise in Linux system administration
- Experience with cloud solutions in AWS and GCP
- Hands-on understanding of Kubernetes principles
- Proficiency in development scripting (Python, Bash)
- Passionate about Behavox's mission and technology
Utilize your DevOps skills and passion for machine learning to shape the future of AI at Behavox.
Senior DevOps Engineer in ML in Montréal employer: Behavox
Behavox is an exceptional employer that fosters a high-performance culture, prioritizing speed, experimentation, and technical excellence. Located in Toronto, employees enjoy a hybrid work environment, competitive compensation, and a generous time-off policy of 30 days annually, promoting a healthy work-life balance. With opportunities for real ownership and impact on a global AI platform, Behavox is committed to the growth and development of its team members, making it an attractive place for those seeking meaningful and rewarding careers.
