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Lead and scale global IT and information security operations, define IT/IS strategy and architecture, manage data centers and AWS cloud operations, establish GRC and Secure SDLC practices, lead SecOps and incident response, and support multi-site infrastructure and hardware lifecycle.

Perform security research focused on network devices, topologies, and security products to identify attacker behaviors and develop detection, tools, automations, and mitigations integrated into the platform.

Own end-to-end reliability, automation, and deployment of Dream's platform at customer sites. Lead on-prem and hybrid Kubernetes deployments, manage Helm charts, build Ansible automation, operate Linux infrastructure, troubleshoot networking and storage, support GPU-enabled nodes and air-gapped installs, use Git and AWS (EC2/S3), and travel to customer sites for staging and deployments.

The Senior DevSecOps Engineer will integrate security into CI/CD pipelines, design automated security solutions, and manage secure cloud environments while collaborating with teams to enhance system security and reliability.

The Senior Program Manager will lead multiple squads, manage project workflows, collaborate on cybersecurity solutions, and drive innovation and team performance.

Develop a Cyber Threat Intelligence platform using Python, building infrastructure for AI-powered threat data processing and operational systems, optimizing workflows, and supporting various internal services.

Build and maintain strategic talent pipelines, execute proactive sourcing strategies, provide market intelligence, partner with recruiters and hiring managers, run talent attraction and employer branding initiatives, and measure sourcing effectiveness.

Design intuitive, conversational, and intelligent user experiences for an AI-driven cybersecurity platform. Lead end-to-end product design, evolve the design language and system, translate complex workflows into accessible interfaces, advocate for user trust and transparency in AI, run usability testing, collaborate with cross-functional teams, and own work from concept through post-launch iteration.

Lead end-to-end QA for cyber-focused features: define and execute test plans (functional, integration, API, regression, exploratory), analyze logs, investigate defects, validate automation coverage, collaborate with developers and product, use AI tools to enhance testing, and contribute to QA documentation and release readiness.