Global Engineering Lead

Job Title

Global Engineering Lead

Job Description Summary

Build the next generation of scalable, AI powered software with modern tools, cloud native systems, and world class engineering practices.
Cushman & Wakefield is investing heavily in modernizing and transforming its global technology platforms — and we are looking for an Engineering Lead who wants to own technical direction end to end. You will guide full stack teams using modern languages, advanced frameworks, and state of the art engineering tooling, creating platforms used by global clients across industries.
If you’re motivated by technical breadth, architectural influence, and building elite engineering teams — you’ll thrive here.

Job Description

Technology Strategy & Vision

• Define multi‑year architectural direction across full‑stack systems, cloud platforms, and AI‑driven products — focusing on scale, resilience, security, and global performance.
• Shape engineering roadmaps using best‑in‑class development stacks (e.g., TypeScript/Node.js, Python, Go, C#, React, Next.js, microservices, event‑driven architectures).
• Foster a modern engineering culture emphasizing automation, craftsmanship, clean architecture, and continuous improvement.

Hands‑On Full‑Stack & Platform Engineering Leadership

• Guide the design and development of solutions built with:
  • Frontend: React, Next.js, TypeScript, Tailwind, micro‑frontends
  • Backend: Node.js, Python (FastAPI), Go, .NET Core, event‑driven microservices
  • Cloud & Infra: Azure (preferred), AWS, Kubernetes (AKS/EKS), serverless architectures, Terraform
  • Data & AI: Databricks, Azure Data Lake, Spark, MLflow, vector databases, LLM integration
  • APIs: GraphQL, gRPC, REST at scale
• Drive innovation by embedding AI/ML, automation, prompt engineering, intelligent workflows, and data interoperability into core products.

Execution, Quality & Delivery Excellence

• Champion excellence through best practices: 
  • Enterprise‑grade CI/CD (Azure DevOps, ArgoCD)
  • Automated testing, contract testing, and quality gates
  • Observability platforms (Prometheus, OpenTelemetry, Grafana, New Relic, Datadog)
  • Secure‑by‑design principles, threat modeling, zero trust patterns
• Oversee engineering delivery across multiple squads — ensuring consistency, velocity, and reliability.

Architecture, Governance & Platform Integrity

• Lead architectural reviews and key design decisions across services, domains, and integrations.
• Establish patterns for scalability, fault tolerance, global data compliance, and cost optimization.
• Maintain high standards in coding, cloud security, API governance, and data interoperability.

Stakeholder Alignment & Technical Influence

• Partner with Product, Architecture, Operations, and Client Technology to prioritize work, unblock teams, and drive outcomes.
• Represent engineering in executive and governance forums with clarity around architectural options, tradeoffs, and investment needs.
• Translate complex engineering realities into clear business insights that support strategic decision‑making.

What You Bring

Technical Background

• Bachelor’s/Master’s in Computer Science, Engineering, or related field.
• 8+ years of software engineering experience and 3+ years leading technical teams or engineering managers.
• Deep experience with modern full‑stack development, cloud-native systems, distributed architectures, and high‑scale platforms.
• Hands-on expertise with several advanced languages and frameworks such as: 
  • Python, Go, TypeScript/JavaScript, C#, Java, Rust (bonus), SQL/NoSQL stacks
  • React, Next.js, Node.js, FastAPI, .NET, Angular Core, microservices, container orchestration (Kubernetes)
• Strong command of DevOps, CI/CD automation, infrastructure-as-code, and observability.

Leadership Competencies

• Strategic engineering thinker who balances innovation with disciplined execution.
• Proven ability to mentor engineers, grow high‑performing teams, and attract top talent.
• Ability to influence across product, business, and technical leadership.
• Comfortable making architectural decisions that require both technical depth and business awareness.

Bonus Experience (Highly Attractive)

• AI/ML product integration, LLM orchestration, or intelligent agent frameworks.
• Distributed event streaming (Kafka, EventHub)