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 seeking an experienced Director of DevOps to lead our Platform & DevOps organization across cloud and on-prem (including air-gapped) environments. The role owns reliability, velocity, and cost efficiency for Dream’s products and customer deployments.

• Lead and grow DevOps, SRE, and Platform teams; mentor team leads and establish operating standards.
• Define and execute DevOps strategy, architecture patterns, and golden paths for cloud and on-prem deployments.
• Own Kubernetes at scale (EKS and on-prem): multi-cluster, networking, storage, GitOps, and platform services.
• Drive CI/CD excellence and release engineering for multi-tenant cloud and customer-specific environments.
• Establish SLOs/SLIs, incident management, capacity planning, disaster recovery, and observability.
• Partner with Security to embed DevSecOps (policy-as-code, SBOM, signing, secrets) across SDLC.
• Partner with FinOps on cost governance and GPU/compute efficiency.
• Collaborate with Engineering, Product, Security, and Finance; manage vendors and cloud partnerships.

• 10+ years in DevOps/SRE/Platform with 3+ years leading teams and managers.
• Expert in Kubernetes operations (EKS + on-prem), networking/storage, and GitOps practices.
• Strong hands-on experience with CI/CD, IaC, observability, and incident management at scale.
• Experience with on-prem/air-gapped and regulated customer environments.
• Security mindset: supply-chain hardening, zero-trust, secrets management, policy-as-code.
• FinOps literacy: budgeting, allocation, forecasting, and optimization of GPU/AI workloads.
• Excellent communication and stakeholder management.

Advantages:

• Background in AI/ML infrastructure (training, inference, GPU clusters) and data platforms.
• Experience with endpoint/security products.

Tech Stack:

AWS, Kubernetes (EKS + on-prem), Terraform, Ansible, Helm, ArgoCD, Jenkins/GitHub Actions, Docker + Compose, Prometheus/Grafana/Loki, ELK/OpenSearch, MongoDB, Postgres, Redis, RabbitMQ, Neo4J, S3/MinIO, Service Mesh, OPA/Gatekeeper/Kyverno, Python/Bash/Go, GitHub, ClickHouse, MLFlow, GPUs.