Principal Engineer

🕒 October 2

🐊 Florida – Remote

🐊 Florida – Remote

💵 $215k - $265k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

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Douglas Elliman Real Estate

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1911

🏠 Real Estate

👥 B2C

🏪 Marketplace

Real Estate • B2C • Marketplace

Douglas Elliman Real Estate is a large, licensed residential real estate brokerage specializing in luxury properties and curated high-end listings. The company operates an online property search and listings platform (including exclusives), maintains licenses across many U. S. states and select international markets, and provides consumer resources, agent directories, and legal/disclosure information. The website emphasizes listing data, privacy/consent controls, and fraud warnings for consumers.

📋 Description

• Serve as the primary internal technical counterpart to strategic technology and implementation partners across active AI transformation workstreams • Co-architect, review, and validate milestones with external engineering teams • Ensure AI models, agentic workflows, and cloud deployments meet architectural guidelines and quality benchmarks • Establish architectural review mechanisms, joint CI/CD standards, and documentation for operational hand-off • Design, implement, and deploy production-grade multi-agent architectures with dynamic tool-calling, autonomous reasoning loops, persistent memory, and human-in-the-loop workflows • Establish automated evaluation suites, hallucination guards, latency controls, and safety filters • Integrate agentic layers with internal data stores, enterprise APIs, vector databases, and enterprise SaaS platforms • Architect scalable, secure, and resilient GCP cloud foundations using Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, and Cloud Functions • Establish DevOps and GitOps practices using Terraform, containerized microservices, automated testing, and secure secret management • Implement IAM least-privilege models, cost monitoring, and resource optimization • Drive transition from legacy monolithic website backends to API-first headless CMS and composable web architectures • Connect CMS frontends with CRM, marketing automation, and AI-driven personalization workflows • Optimize web delivery performance, CDN caching, edge routing, and SEO-friendly architectures • Analyze .NET/C# systems and workflows and develop phased migration and decoupling strategies • Implement event bridges and modern API gateways between legacy systems and cloud-native pipelines • Share responsibility for GCP, Terraform, CI/CD, IAM, Cloud Run, and observability • Serve as primary backup to the Senior Cloud Platform Engineer • Document architecture and operational procedures

🎯 Requirements

• 10+ years of progressive experience in software engineering, backend architecture, and distributed systems • 3+ years in a Staff or Principal Engineer capacity, acting as technical architect and driving execution on complex cross-functional systems • Production multi-agent systems built with frameworks such as LangGraph, CrewAI, AutoGen, Vertex AI Agent Builder, or custom orchestration engines • Hands-on architecture across Vertex AI, Cloud Run, Pub/Sub, Cloud Storage, BigQuery, VPCs, and IAM • Track record collaborating with external development squads, systems integrators, or cloud partners to co-develop, review, and operationalize mission-critical workloads • Experience with asynchronous messaging, event-driven architectures, RESTful APIs, containerization, and CI/CD pipelines • Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent practical experience • Preferred: Architecting or replatforming on headless/composable CMS, API-first architectures, and modern web frameworks • Preferred: Telemetry, tracing, and monitoring for LLM and agentic workloads, such as LangSmith, Arize Phoenix, or GCP Cloud Trace/Monitoring • Preferred: Kubernetes (GKE) and gRPC depth • Preferred: Experience with .NET Core and legacy .NET Framework • Preferred: Leading migrations from on-premises or Microsoft-centric environments to Google Cloud with zero operational downtime • Preferred: Vector indexing, semantic search, and enterprise data warehousing

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