Research Platform Engineer

At Dream, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; It’s a Dream job. Dream is where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Let’s build something extraordinary together.

Dream's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our Dream's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.

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:

As a Research Platform Engineer, you will build and operate the shared platforms that power DREAM’s cyber research: data ingestion, connectivity to internal/external systems, scalable analysis environments, and self-serve tools which allow the team moving faster.

You’ll partner closely with CyberAI researchers to translate research needs into reliable, secure, cloud-deployed capabilities used across the group. Your goals are to reduces “research-toil,” improves reproducibility and code quality, and accelerates the path from prototype to shared capability.

The Dream-Maker Responsibilities:

• Design, implement, and iterate on internal platforms that support research workflows (e.g., data ingestion, enrichment, indexing, search, labeling, evaluation harnesses, experiment tooling).
• Develop durable pipelines and connectors to bring in and normalize research data sources.
• Create reusable libraries, templates, CLIs, and services that enable researchers to run analyses and experiments safely and repeatably.
• Own deployments, reliability, observability, access control, and cost/performance of the research stack so it’s usable by all researchers.
• Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.
  
  

• 5+ years of experience building and operating production systems (platform engineering, data engineering, infra, or backend engineering).
• Strong software engineering fundamentals (clean architecture, testing, CI/CD, code review, documentation).
• Hands-on experience with cloud infrastructure and modern deployment patterns (containers, orchestration, serverless and/or Kubernetes; infrastructure-as-code such as Terraform is a plus).
• Experience designing data pipelines and service integrations
• Ability to work closely with researchers: turn ambiguous needs into clear requirements, make pragmatic tradeoffs, ship incrementally, and support adoption.
• Familiarity with cybersecurity research workflows such Threat Hunting, Malware Research, CTI and more- an advantage.