Senior Platform Engineer

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 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. 

Requirements

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.