Senior DevOps Engineer - AI Infra Group

Description

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.  

We're seeking an experienced Senior DevOps Engineer to join our AI Infra Group, responsible for building robust infrastructure and CI/CD pipelines that enable internal teams to rapidly develop and deploy AI-driven products and tools. You'll be a key enabler for our development teams, providing them with streamlined workflows, reliable environments, and modern DevOps practices across hybrid cloud and on-premise infrastructure.

Responsibilities

• Build and maintain CI/CD pipelines and Kubernetes clusters (cloud + on-prem).
• Implement Infrastructure as Code (Terraform, Ansible, Helm) and GitOps practices.
• Automate deployment, monitoring, and scaling workflows.
• Collaborate with engineers to improve developer experience and system reliability.
• Ensure observability, security, and compliance across infrastructure.

Requirements

None

Skills

• 5+ years of DevOps experience.
• Strong Kubernetes and CI/CD expertise (Jenkins, ArgoCD, GitHub Actions).
• Skilled in Terraform, Ansible, Helm, and scripting (Python, Bash, or Go).
• Experience with AWS or hybrid environments.
• Excellent problem-solving and collaboration skills.

Nice To Have

• Experience with GPU infrastructure or ML platforms (Ray, Kubeflow, MLflow).
• Familiarity with observability tools (Prometheus, Grafana) and service meshes (Istio).

Tech Stack

• AWS, Kubernetes, Terraform, Ansible, Helm, Jenkins, ArgoCD, GitHub Actions, Docker, Python, Bash.