More jobs:
Global Engineering Lead
Job in
Wakefield, West Yorkshire, WF1, England, UK
Listed on 2026-02-11
Listing for:
AAAI Press
Full Time
position Listed on 2026-02-11
Job specializations:
-
IT/Tech
Systems Engineer, Cloud Computing, AI Engineer
Job Description & How to Apply Below
Job Title
Global Engineering Lead
Job Description SummaryBuild 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.
- 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., Type Script/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
.
- Guide the design and development of solutions built with:
- Frontend :
React, Next.js, Type Script, 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 :
Graph
QL, gRPC, REST at scale
- Frontend :
- Drive innovation by embedding AI/ML, automation, prompt engineering, intelligent workflows
, and data interoperability into core products.
- Champion excellence through best practices:
- Enterprise-grade CI/CD (Azure Dev Ops, ArgoCD)
- Automated testing, contract testing, and quality gates
- Observability platforms (Prometheus, Open Telemetry, Grafana, New Relic, Datadog)
- Secure-by-design principles, threat modeling, zero trust patterns
- Oversee engineering delivery across multiple squads ensuring consistency, velocity, and reliability.
- 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
.
- 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.
- 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, Type Script/JavaScript, C#, Java, Rust (bonus), SQL/No
SQL stacks - React, Next.js, Node.js, FastAPI, .NET, Angular Core, microservices, container orchestration (Kubernetes)
- Python, Go, Type Script/JavaScript, C#, Java, Rust (bonus), SQL/No
- Strong command of Dev Ops, CI/CD automation, infrastructure-as-code, and observability.
- 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.
- AI/ML product integration, LLM orchestration, or intelligent agent frameworks.
- Distributed event streaming…
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