Senior DevOps On-Premise Engineer

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 are looking for an experienced Senior DevOps On-Premise Engineer who is passionate about software design, development, and deployment. The job involves writing production-grade modern DevOps solutions that will be shipped to on-premise environments.

Responsibilities:

• Build and maintain the best solutions for our on-premise production platform.
• Apply an Everything as Code (EaC) approach using technologies such as Ansible, Terraform, and Kubernetes.
• Develop and maintain tools for automation, deployment, monitoring, and operations specifically tailored for on-premise environments.
• Troubleshoot issues in our development, production, and test environments.
• Collaborate effectively with team members and communicate complex technical issues clearly.

Skills:

• At least 4-5 years of experience with DevOps technologies.
• Experience with the design, build, development, and maintenance of on-premise DevOps solutions.
• Proven experience working with on-premise environments and solutions.
• Experience with deployment technologies and CI/CD technologies in AWS for building and packaging.
• Strong knowledge of networking and security principles, including developing and deploying encryption and signing services.
• Proficient coding capabilities in Python and Bash.
• Hands-on experience with developing infrastructure services that run on-premise, including Kubernetes on-premise.
• Proven track record of delivering packages to remote on-premise sites.
• Experience with air-gapped on-premise solutions is a significant advantage.
• Experience with deploying and maintaining robust and automated pipelines.

Must-Have Skills:

• Kubernetes, Ansible, Python, Bash, Linux, Networking, Docker, Jenkins.

Advantages:

• Experience working on endpoint products (agent/sensors/collectors).
• Experience with AI components (training, inference, serving).

Tech Stack:

• Kubernetes, Jenkins, Ansible, Terraform, Docker + Compose, MLFlow, Kserve, Minio, GitHub, Python, Bash, Linux, MongoDB, RabbitMQ, Redis, Neo4J.