Senior DevOps Engineer- Detection

Dream is a pioneering AI cybersecurity company delivering revolutionary defense through artificial intelligence. Our proprietary AI platform creates a unified security system safeguarding assets against existing and emerging generative cyber threats. Dream's advanced AI automates discovery, calculates risks, performs real-time threat detection, and plans an automated response. With a core focus on the ""unknowns,"" our AI transforms data into clear threat narratives and actionable defense strategies.

Dream's AI cybersecurity platform represents a paradigm shift in cyber defense, employing a novel, multi-layered approach across all organizational networks in real-time. At the core of our solution is Dream's proprietary Cyber Language Model, a groundbreaking innovation that provides real-time, contextualized intelligence for comprehensive, actionable insights into any cyber-related query or threat scenario.

At Dream, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.

The Dream Job:

We are on the lookout for an experienced engineer to join our DevOps team who is passionate about software design, development, and deployment.

The role focuses on designing, building, and maintaining production-grade cloud solutions, ensuring scalability, reliability, and security. You will manage CI/CD pipelines, automate deployments, monitor system performance, and collaborate across development teams to deliver resilient infrastructure in a rapidly evolving environment.

The Dream-Maker Responsibilities:

• Collaborate closely with development teams to define and implement infrastructure requirements that support scalable, secure, and efficient operations.
• Develop and maintain internal tools to automate workflows, streamline development processes, and enhance monitoring and operational efficiency.
• Diagnose and resolve issues across development, testing, and production environments to ensure system stability and optimal performance.
  
  

• 5+ years of DevOps experience.
• Fluent in AWS, Terraform, Helm, and Kubernetes.
• Experience with CI/CD technologies.
• Experience with large-scale deployments.
• Background in MLOps or any AI-related workflows - an advantage.
• Ability to learn new technologies quickly.
• Strong debugging and troubleshooting skills.
• Solid coding skills (python, bash, etc.)