Engineering Manager - Last Mile Platform
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Key skills for this role
About the Role
Americana Restaurants is seeking an Engineering Manager to lead the design, delivery, and operations of scalable cloud-native platforms for last-mile delivery across MENA markets.
Key Skills for This Role
Responsibilities
- Architect, build, and operate large scale event driven microservices in Java, Node.js, and Python platforms powered by Confluent Kafka for real time order processing, delivery orchestration, and logistics intelligence.
- Lead the engineering strategy for last mile delivery systems handling millions of order transactions per month across multiple MENA markets.
- Drive platform scalability, resiliency, observability, and high availability, ensuring enterprise grade SLAs and operational stability.
- Define and implement best practices for distributed systems, asynchronous messaging, API management, and event driven integration patterns.
- Provide technical leadership for cloud native application development using containerized and Kubernetes based architectures.
- Design and manage Azure native enterprise platforms leveraging AKS, APIM, PostgreSQL, Azure Data Lake, Azure AI/ML Services, and event driven integration services.
- Ensure platform reliability with a target uptime of 99.99% through proactive monitoring, disaster recovery planning, and performance optimization.
- Build scalable data pipelines and integrated data ecosystems enabling advanced analytics, AI/ML, and operational reporting.
- Lead integration initiatives across restaurant POS systems, delivery logistics platforms, customer mobile/web applications, financial and reporting systems, and enterprise operational platforms.
- Create unified operational data layers supporting delivery time prediction, logistics efficiency optimization, store performance analytics, customer behaviour analysis, and workforce and capacity planning.
- Partner with analytics and data science teams to ensure platform readiness for enterprise scale data mining and predictive intelligence initiatives.
- Lead deployment and operationalization of AI/ML models using Python based ecosystems including Neural Prophet, XGBoost, Scikit learn, TensorFlow, and predictive analytics frameworks.
Requirements
- Master’s degree in Computer Science, Engineering, Information Technology, or related field
- 15+ years of experience in enterprise software engineering
- At least 3+ years in engineering leadership or architecture management roles
- Strong experience designing and operating event driven architectures using Confluent Kafka or Apache Kafka ecosystems
- Extensive experience with cloud native technologies on Microsoft Azure
- Proven expertise in AKS/Kubernetes, microservices architecture, API first integration, distributed systems, real time data streaming
- Hands on experience with PostgreSQL, Data Lakes, and enterprise integration architectures
- Experience deploying and managing AI/ML solutions using Python frameworks such as TensorFlow and Scikit learn
- Strong understanding of CI/CD, DevSecOps, observability, and platform reliability engineering
- Experience in logistics, QSR, e commerce, supply chain, mobility, or last mile delivery domains is highly preferred
Full Job Posting
Job Purpose
- We are seeking an experienced Engineering Manager to lead the design, delivery, and operations of scalable, cloud native platforms powering last mile delivery across multiple MENA markets.
- This role blends deep technical leadership with strong business acumen to build reliable, high performance systems supporting real time order processing, logistics orchestration, and operational decision making at scale.
- You will collaborate closely with cross functional teams including Product, Operations, Data, and Infrastructure, driving the development of resilient platforms capable of handling high transaction volumes.
Platform Architecture & Engineering Leadership
- Architect, build, and operate large scale event driven microservices in Java, Node.js, and Python platforms powered by Confluent Kafka for real time order processing, delivery orchestration, and logistics intelligence.
- Lead the engineering strategy for last mile delivery systems handling millions of order transactions per month across multiple MENA markets.
- Drive platform scalability, resiliency, observability, and high availability, ensuring enterprise grade SLAs and operational stability.
- Define and implement best practices for distributed systems, asynchronous messaging, API management, and event driven integration patterns.
- Provide technical leadership for cloud native application development using containerized and Kubernetes based architectures.
Cloud & Data Infrastructure
- Design and manage Azure native enterprise platforms leveraging Microsoft Azure Kubernetes Service (AKS), API Management (APIM), PostgreSQL, Azure Data Lake, Azure AI/ML Services, and event driven integration services.
- Ensure platform reliability with a target uptime of 99.99% through proactive monitoring, disaster recovery planning, and performance optimization.
- Build scalable data pipelines and integrated data ecosystems enabling advanced analytics, AI/ML, and operational reporting.
Data Integration & Enterprise Analytics Enablement
- Lead integration initiatives across restaurant POS systems, delivery logistics platforms, customer mobile/web applications, financial and reporting systems, and enterprise operational platforms.
- Create unified operational data layers supporting delivery time prediction, logistics efficiency optimization, store performance analytics, customer behaviour analysis, and workforce and capacity planning.
- Partner with analytics and data science teams to ensure platform readiness for enterprise scale data mining and predictive intelligence initiatives.
AI/ML & Intelligent Automation
- Lead deployment and operationalization of AI/ML models using Python based ecosystems including Neural Prophet, XGBoost, Scikit learn, TensorFlow, and predictive analytics frameworks.
- Enable intelligent operational capabilities such as dynamic order routing, ETA prediction, delivery capacity optimization, and demand forecasting.
- Drive MLOps best practices including model deployment, monitoring, retraining, and lifecycle governance.
Engineering Management & Stakeholder Collaboration
- Manage and mentor high performing engineering teams including backend engineers, DevOps engineers, architects, and data engineers.
- Collaborate with product management, operations, finance, and executive leadership to align technology initiatives with business objectives.
- Drive agile delivery execution, sprint planning, engineering governance, and release management.
- Own technical roadmap planning, architecture reviews, risk management, and vendor coordination.
- Establish engineering KPIs, operational metrics, and platform performance governance.
Required Qualifications
- Master’s degree in Computer Science, Engineering, Information Technology, or related field.
- 15+ years of experience in enterprise software engineering with at least 3+ years in engineering leadership or architecture management roles.
- Strong experience designing and operating event driven architectures using Confluent Kafka or Apache Kafka ecosystems.
- Extensive experience with cloud native technologies on Microsoft Azure.
- Proven expertise in AKS/Kubernetes, microservices architecture, API first integration, distributed systems, real time data streaming.
- Hands on experience with PostgreSQL, Data Lakes, and enterprise integration architectures.
- Experience deploying and managing AI/ML solutions using Python frameworks such as TensorFlow and Scikit learn.
- Strong understanding of CI/CD, DevSecOps, observability, and platform reliability engineering.
- Experience in logistics, QSR, e commerce, supply chain, mobility, or last mile delivery domains is highly preferred.
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