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# SVP of Engineering

- **Company:** Rolesenior
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Software as a Service, Continuous Delivery, Continuous Integration, Data Architecture, DevOps, Graph Database, Machine Learning, Performance Tuning, Release Management, Cloud Services, Data Streaming, Systems Architecture, Datadog, Pulumi, Enterprise Software Applications, Large Language Models, Snowflake, Grafana, Multi-Agent Systems, Prompt Engineering, Event Driven Architecture, Kubernetes, Apache Flink, Apache Kafka, Spark Streaming, Machine Learning Operations, Cloud Migration, Api Design, Api Gateway, Terraform, Stream Processing, Azure Synapse Analytics, Serverless Computing, Databricks, Microservices
- **Published:** June 23, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/39665831/

## About the Role

domain expertise across System of Execution and System of Intelligence components of supply chain.Proven track record leading platform transformation from on-prem to cloud-native SaaS at enterprise scale (100+ enterprise clients, $50M+ ARR platform).Direct experience delivering production-grade, customer-facing AI/ML capabilities at scale.Familiarity with competitive supply chain platforms and experience working with retailers/CPG clients.Technical DepthStrong architectural fluency: microservices, API-first, event-driven architecture, multi-tenant isolation, Kubernetes/container orchestration, serverless patterns.Working knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure Synapse) and real-time streaming (Kafka, Flink, Spark Streaming).Familiarity with generative AI patterns (LLM fine-tuning, RAG, prompt engineering, function calling, agent frameworks) and graph/knowledge graph technologies.DevOps/SRE practices at scale: CI/CD, IaC (Terraform, Pulumi), observability
(Datadog, Grafana), incident management.Leadership QualitiesBuilder mentality with hands-on orientation; executive presence and strong communication skills; collaborative and bias for action; comfort with ambiguity.Preferred QualificationsExperience at leading supply chain technology vendors or major retailers/CPG companies.Prior experience with data monetization, retail media intersection, outcome-based pricing, and multi-geography engineering organizations.Fluent in French and English; advanced quantitative degree (MS/PhD) a plus.SkillsTechnology Vision System Architecture Cloud Migration AI Strategy ML/AI Productionization MLOps Microservices Event-driven Architecture DevOps/SRE CI/CD Infrastructure as Code Observability Incident Management Data Architecture Streaming Systems Client-facing Communication Stakeholder Management M&A Technical Due Diligence Organizational Leadership Change Management
#J-18808-Ljbffr

## Description

TransformationLead data model modernization, API gateway design, tenant isolation, and migration strategies for enterprise clients (parallel runs, phased cutovers).Modernize data architecture to support real-time streaming and graph-based modeling (Kafka, Flink) and unified analytics for operations and ML training.Transition release management from quarterly waterfall to continuous deployment with feature flags while protecting enterprise stability.Strategic & Organizational LeadershipPartner with the CEO on division strategy, planning, budgeting, and investment priorities.Align technology investments with market demand and ARR growth; own technology budget and resource allocation.Build a diverse engineering culture and chair a Technical Advisory Board of external supply chain and AI experts.RequirementsExperience & Background15+ years in enterprise software engineering and technology leadership; at least 5 years at VP/SVP/CTO level in supply chain, retail, or CPG technology.Deep


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