Principal Engineer

Elliman Inc.; Miami Beach, Northern (FL, KY); Hybrid; USD 215.000 - 265.000; Vollzeit

Zusammenfassung

Elliman Inc. is seeking a hands-on Principal Engineer to architect and drive execution across our enterprise agentic AI ecosystem, cloud modernization, and CMS/web platform transformations.

You will lead cross-functional efforts, shift legacy .NET/C# workloads to modern GCP services, and collaborate with strategic partners to ensure scalable, secure deployments.

Qualifikationen

• 10+ years of progressive software engineering, backend architecture, and distributed systems.
• 3+ years in a Staff or Principal Engineer capacity as technical architect.
• Experience delivering agentic AI workloads and multi-agent systems.
• Hands-on Google Cloud Platform architecture across Vertex AI, Cloud Run, Pub/Sub, BigQuery.
• Bachelor's or Master's degree in CS/Software Engineering or equivalent.

Aufgaben

• Design and implement multi-agent architectures with dynamic tool-calling and autonomous reasoning.
• Ensure security, performance, and reliability through automated evaluation and guardrails.
• Lead platform integration with internal data stores, enterprise APIs, and SaaS.
• Architect cloud foundations on GCP and implement DevOps with Terraform and CI/CD.
• Drive legacy .NET/C# modernization and migration to modern cloud-native architectures.
• Collaborate with partners and vendors to co-deliver mission-critical workloads.

Kenntnisse

Software engineering

Backend architecture

Distributed systems

Staff/Principal Engineer

Agentic AI delivery

Ausbildung

Bachelor's or Master's in CS/Software Eng

Tools

Vertex AI

Cloud Run

Pub/Sub

BigQuery

GKE

IAM

CI/CD

Jobbeschreibung

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Principal Engineer

Full Time Technical Miami Beach, FL, US

Salary Range: $215,000.00 To $265,000.00 Annually

Principal Engineer

Role Title: Principal Engineer
Descriptor: Agentic Operations & Cloud Modernization
Location: Remote (US-based)
Reports To: Head of AI Transformation
Employment Type: Full-Time

1. Role Overview

We are seeking an experienced, hands-on Principal Engineer reporting directly to the Head of AI Transformation to serve as technical architect and execution driver across our enterprise agentic AI ecosystem, cloud transformation, and modernization initiatives.

You will work with leadership to shape the technical direction, then own its execution: architecting systems for autonomous AI agents, orchestrating complex workflows, building cloud-native systems on GCP, and driving modern CMS/web platform architecture. You will partner directly with our strategic implementation and cloud transformation partners, steering joint workstreams, ensuring code and architectural rigor, and managing operational knowledge transfer.

You will also guide the bridge between existing systems and target architecture: evaluating legacy services (primarily .NET/C# monoliths and scheduled workflows), decomposing and migrating them to modern GCP services.

2. Key Responsibilities

Strategic Partner Collaboration & AI Workload Delivery

• Partner Co-Engineering & Technical Direction: Serve as the primary internal technical counterpart to our strategic technology and implementation partners across active AI transformation workstreams.
• Joint Workload Delivery: Co-architect, review, and validate milestones with external engineering teams, ensuring AI models, agentic workflows, and cloud deployments align with architectural guidelines and quality benchmarks.
• Knowledge Transfer & Hand-off: Establish architectural review mechanisms, joint CI/CD standards, and documentation so internal teams can take operational ownership of partner-developed systems.

Agentic Systems Architecture & Engineering

• Multi-Agent Orchestration: Design, implement, and deploy production-grade multi-agent architectures with dynamic tool-calling, autonomous reasoning loops, persistent memory, and deterministic human-in-the-loop workflows.
• Evaluation & Guardrails: Establish rigor around agent performance, reliability, and security through automated evaluation suites, hallucination guards, latency controls, and safety filters.
• Platform Integration: Connect agentic layers to internal data stores, enterprise APIs, vector databases, and external enterprise SaaS platforms.
• Cloud Architecture: Architect scalable, secure, resilient cloud foundations on GCP (Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, Cloud Functions).
• Infrastructure as Code & CI/CD: Establish enterprise DevOps and GitOps practices using Terraform, containerized microservices, automated testing, and secure secret management.
• Governance & FinOps: Implement IAM least-privilege models, cost monitoring, and resource optimization across cloud subscriptions and AI API usage.
• Modern Web Platform Architecture: Architect and drive the transition from legacy monolithic website backends to API-first headless CMS and composable web architectures.
• Lead Generation & Data Flow: Connect modern CMS frontends with backend CRM, marketing automation, and AI-driven personalization workflows.
• Performance & Scalability: Optimize web delivery performance, CDN caching, edge routing, and SEO-friendly architectures.

Legacy Bridge & .NET Migration Strategy

• Workload Deconstruction: Analyze existing backend systems and workflows (predominantly .NET/C#) and develop phased migration and decoupling strategies.
• Data & Event Pipelines: Implement event bridges and modern API gateways so legacy systems and new cloud-native agentic pipelines operate together during transition.

Shared Platform Core & Cross-Coverage

• Shared platform core: GCP, Terraform, CI/CD, IAM, Cloud Run, and observability are shared responsibilities between this role and the Senior Cloud Platform Engineer.
• Primary backup to the Senior Cloud Platform Engineer for Terraform, pipelines, and enterprise integrations.
• Documentation: Document architecture and operational procedures so no production system depends on one person.

3. Candidate Requirements

Required Qualifications & Experience

• 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.
• Agentic AI delivery: Production multi-agent systems built with frameworks such as LangGraph, CrewAI, AutoGen, Vertex AI Agent Builder, or custom orchestration engines.
• Google Cloud Platform: Hands-on architecture across Vertex AI, Cloud Run, Pub/Sub, Cloud Storage, BigQuery, VPCs, and IAM.
• Partner and vendor co-delivery: Track record collaborating with external development squads, systems integrators, or cloud partners to co-develop, review, and operationalize mission-critical workloads.
• Distributed systems: 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 Qualifications

• Modern CMS and web platforms: Architecting or replatforming on headless/composable CMS, API-first architectures, and modern web frameworks.
• Observability and LLM-Ops: Telemetry, tracing, and monitoring for LLM and agentic workloads (e.g., LangSmith, Arize Phoenix, GCP Cloud Trace/Monitoring).
• Kubernetes (GKE) and gRPC depth.
• Legacy .NET / C#: Experience with .NET Core and legacy .NET Framework, enabling you to inspect legacy codebases, decouple monoliths, and design clean migration paths.
• Enterprise cloud migrations: Leading migrations from on-premises or Microsoft-centric environments (Azure / Windows Server) to Google Cloud with zero operational downtime.
• Data integration and vector search: Vector indexing, semantic search, and enterprise data warehousing.