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 Platform Engineer who is passionate about software design, development, and deployment. The job involves writing production-grade modern DevOps/Platform solutions and will be part of building Dream Computing Services layer which will be deployed anywhere.

Responsibilities:

• Develop, build and maintain the best services and solutions for our Dream Computing Services platform.
• Apply an Everything as Code (EaC) approach using technologies such as Python, Ansible, Terraform, and Kubernetes.
• Build and develop services that will be part of Dream Computing Services and will run on remote infrastructure.
• Develop and maintain tools for automation, deployment, monitoring, and operations specifically tailored for remote 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 or Platform technologies.
• Experience with the design, build, development, and maintenance of DevOps services and solutions.
• Proven experience working with remote environments and solutions like on-premise or customer private cloud.
• 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 remotely, including customized Kubernetes.
• Proven track record of delivering packages to remote customer sites.
• Experience with air-gapped on-premise solutions is a significant advantage.
• Experience with deploying and maintaining robust and automated services/pipelines.

Must-Have Skills:

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

Advantages:

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.