Metal Engineer Jobs
639 Jobs Found
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>The Senior Presales Engineer – Enterprise & End-User Solutions is responsible for designing, positioning, and supporting enterprise infrastructure and end-user computing solutions for customers across the region. The role serves as a trusted technical advisor throughout the sales lifecycle, supporting strategic customer engagements, solution architecture, technical proposals, and solution validation activities.</p>
<p>Working closely with sales, vendors, and delivery teams, the engineer develops scalable, secure, and modern infrastructure solutions aligned with customer business and technical requirements. The role focuses on enterprise infrastructure, virtualization, hybrid cloud, end-user computing, and business continuity solutions while supporting digital transformation and data center modernization initiatives.</p>
<h4>Requirements:</h4>
<h4>Solution architecture & presales leadership</h4>
<ul>
<li>Lead the design and positioning of enterprise infrastructure and end-user computing solutions aligned with customer requirements and business objectives</li>
<li>Develop:
<ul>
<li>High-level designs (HLD)</li>
<li>Solution architecture documents</li>
<li>Technical proposals</li>
<li>Bill of materials (BoM)</li>
<li>Compliance matrices</li>
<li>RFP/RFI/RFQ responses</li>
</ul>
</li>
<li>Lead solution sizing, architecture validation, and technical assessments for complex customer environments</li>
</ul>
<h4>Customer engagement & technical advisory</h4>
<ul>
<li>Conduct customer workshops, technical presentations, demonstrations, and architecture discussions</li>
<li>Engage with enterprise and government customers to understand business and technical requirements</li>
<li>Translate customer challenges into scalable infrastructure and end-user solutions</li>
<li>Support opportunity qualification and strategic solution positioning alongside sales teams</li>
<li>Lead proof of concepts (PoCs) and technical evaluation activities</li>
</ul>
<h4>Enterprise infrastructure solutions</h4>
<p>Design and position solutions across:</p>
<ul>
<li>Servers (rack, blade, hyperconverged)</li>
<li>Enterprise storage solutions (SAN, NAS, SDS)</li>
<li>Virtualization platforms</li>
<li>Hyperconverged infrastructure (HCI)</li>
<li>Backup and disaster recovery solutions</li>
<li>Data center modernization initiatives</li>
</ul>
<p>Design high availability and business continuity architectures aligned with customer requirements</p>
<h4>Cloud & platform solutions</h4>
<ul>
<li>Support hybrid cloud and private cloud architecture initiatives</li>
<li>Contribute to container platform discussions including:
<ul>
<li>Kubernetes</li>
<li>OpenShift</li>
</ul>
</li>
<li>Support automation and orchestration solution positioning with foundational knowledge of cloud-native technologies</li>
</ul>
<h4>End-user computing solutions</h4>
<ul>
<li>Design and support solutions across:
<ul>
<li>VDI and desktop virtualization</li>
<li>Endpoint management (UEM)</li>
<li>Collaboration solutions</li>
<li>Laptops, workstations, and thin clients</li>
<li>OS deployment and lifecycle management</li>
</ul>
</li>
</ul>
<h4>Vendor & cross-functional collaboration</h4>
<ul>
<li>Coordinate with vendors for:
<ul>
<li>Design validation</li>
<li>Technical alignment</li>
<li>Commercial and pricing support</li>
</ul>
</li>
<li>Work closely with sales and delivery teams to ensure successful solution alignment and project handover</li>
<li>Support customer success initiatives through ongoing technical engagement where required</li>
</ul>
<h4>Technical leadership & knowledge sharing</h4>
<ul>
<li>Mentor junior and mid-level engineers across enterprise infrastructure technologies</li>
<li>Lead internal technical knowledge-sharing and enablement sessions</li>
<li>Contribute to technical standards, reusable templates, and best practice frameworks</li>
<li>Support certification and capability development initiatives within the team</li>
</ul>
<h4>Documentation & best practices</h4>
<ul>
<li>Maintain accurate technical documentation and solution records</li>
<li>Ensure proposed solutions align with customer standards and industry best practices</li>
<li>Contribute to continuous improvement of technical templates, solution frameworks, and presales processes</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in Computer Engineering, Information Technology, or a related field</li>
<li>7+ years of experience in enterprise infrastructure presales, solution architecture, or system integration environments</li>
<li>Strong expertise in:
<ul>
<li>Enterprise infrastructure and data center technologies</li>
<li>Virtualization and HCI platforms</li>
<li>Backup and disaster recovery solutions</li>
<li>End-user computing and VDI environments</li>
<li>Hybrid cloud and private cloud architectures</li>
</ul>
</li>
<li>Strong architecture, sizing, and infrastructure design capabilities</li>
<li>Good understanding of:
<ul>
<li>Containers and Kubernetes platforms</li>
<li>Automation and orchestration concepts</li>
<li>High availability and disaster recovery architectures</li>
</ul>
</li>
<li>Hands-on or presales experience with one or more of the following vendors and technologies:
<ul>
<li>Dell Technologies (Servers, Storage, VxRail, PowerStore)</li>
<li>Nutanix</li>
<li>VMware / Broadcom</li>
<li>Red Hat OS and OpenShift</li>
<li>Veeam / Cohesity</li>
<li>Huawei</li>
<li>Citrix / Omnissa (VDI)</li>
<li>IBM Hardware</li>
</ul>
</li>
<li>Proven experience designing and positioning enterprise data center and end-user solutions</li>
<li>Strong experience preparing technical proposals, compliance matrices, and customer presentations</li>
<li>Experience supporting enterprise and government customer engagements is preferred</li>
</ul>
<h4>Certifications (Preferred)</h4>
<ul>
<li>VMware (VCP)</li>
<li>Nutanix (NCP)</li>
<li>Dell Technologies certifications</li>
<li>Veeam, Cohesity, or backup-related certifications</li>
<li>Red Hat certifications</li>
<li>Oracle Hardware certifications</li>
<li>Huawei certifications</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>The Senior Presales Engineer – Enterprise & End-User Solutions is responsible for designing, positioning, and supporting enterprise infrastructure and end-user computing solutions for customers across the region. The role serves as a trusted technical advisor throughout the sales lifecycle, supporting strategic customer engagements, solution architecture, technical proposals, and solution validation activities.</p>
<p>Working closely with sales, vendors, and delivery teams, the engineer develops scalable, secure, and modern infrastructure solutions aligned with customer business and technical requirements. The role focuses on enterprise infrastructure, virtualization, hybrid cloud, end-user computing, and business continuity solutions while supporting digital transformation and data center modernization initiatives.</p>
<h4>Requirements:</h4>
<h4>Solution architecture & presales leadership</h4>
<ul>
<li>Lead the design and positioning of enterprise infrastructure and end-user computing solutions aligned with customer requirements and business objectives</li>
<li>Develop:
<ul>
<li>High-level designs (HLD)</li>
<li>Solution architecture documents</li>
<li>Technical proposals</li>
<li>Bill of materials (BoM)</li>
<li>Compliance matrices</li>
<li>RFP/RFI/RFQ responses</li>
</ul>
</li>
<li>Lead solution sizing, architecture validation, and technical assessments for complex customer environments</li>
</ul>
<h4>Customer engagement & technical advisory</h4>
<ul>
<li>Conduct customer workshops, technical presentations, demonstrations, and architecture discussions</li>
<li>Engage with enterprise and government customers to understand business and technical requirements</li>
<li>Translate customer challenges into scalable infrastructure and end-user solutions</li>
<li>Support opportunity qualification and strategic solution positioning alongside sales teams</li>
<li>Lead proof of concepts (PoCs) and technical evaluation activities</li>
</ul>
<h4>Enterprise infrastructure solutions</h4>
<p>Design and position solutions across:</p>
<ul>
<li>Servers (rack, blade, hyperconverged)</li>
<li>Enterprise storage solutions (SAN, NAS, SDS)</li>
<li>Virtualization platforms</li>
<li>Hyperconverged infrastructure (HCI)</li>
<li>Backup and disaster recovery solutions</li>
<li>Data center modernization initiatives</li>
</ul>
<p>Design high availability and business continuity architectures aligned with customer requirements</p>
<h4>Cloud & platform solutions</h4>
<ul>
<li>Support hybrid cloud and private cloud architecture initiatives</li>
<li>Contribute to container platform discussions including:
<ul>
<li>Kubernetes</li>
<li>OpenShift</li>
</ul>
</li>
<li>Support automation and orchestration solution positioning with foundational knowledge of cloud-native technologies</li>
</ul>
<h4>End-user computing solutions</h4>
<ul>
<li>Design and support solutions across:
<ul>
<li>VDI and desktop virtualization</li>
<li>Endpoint management (UEM)</li>
<li>Collaboration solutions</li>
<li>Laptops, workstations, and thin clients</li>
<li>OS deployment and lifecycle management</li>
</ul>
</li>
</ul>
<h4>Vendor & cross-functional collaboration</h4>
<ul>
<li>Coordinate with vendors for:
<ul>
<li>Design validation</li>
<li>Technical alignment</li>
<li>Commercial and pricing support</li>
</ul>
</li>
<li>Work closely with sales and delivery teams to ensure successful solution alignment and project handover</li>
<li>Support customer success initiatives through ongoing technical engagement where required</li>
</ul>
<h4>Technical leadership & knowledge sharing</h4>
<ul>
<li>Mentor junior and mid-level engineers across enterprise infrastructure technologies</li>
<li>Lead internal technical knowledge-sharing and enablement sessions</li>
<li>Contribute to technical standards, reusable templates, and best practice frameworks</li>
<li>Support certification and capability development initiatives within the team</li>
</ul>
<h4>Documentation & best practices</h4>
<ul>
<li>Maintain accurate technical documentation and solution records</li>
<li>Ensure proposed solutions align with customer standards and industry best practices</li>
<li>Contribute to continuous improvement of technical templates, solution frameworks, and presales processes</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in Computer Engineering, Information Technology, or a related field</li>
<li>7+ years of experience in enterprise infrastructure presales, solution architecture, or system integration environments</li>
<li>Strong expertise in:
<ul>
<li>Enterprise infrastructure and data center technologies</li>
<li>Virtualization and HCI platforms</li>
<li>Backup and disaster recovery solutions</li>
<li>End-user computing and VDI environments</li>
<li>Hybrid cloud and private cloud architectures</li>
</ul>
</li>
<li>Strong architecture, sizing, and infrastructure design capabilities</li>
<li>Good understanding of:
<ul>
<li>Containers and Kubernetes platforms</li>
<li>Automation and orchestration concepts</li>
<li>High availability and disaster recovery architectures</li>
</ul>
</li>
<li>Hands-on or presales experience with one or more of the following vendors and technologies:
<ul>
<li>Dell Technologies (Servers, Storage, VxRail, PowerStore)</li>
<li>Nutanix</li>
<li>VMware / Broadcom</li>
<li>Red Hat OS and OpenShift</li>
<li>Veeam / Cohesity</li>
<li>Huawei</li>
<li>Citrix / Omnissa (VDI)</li>
<li>IBM Hardware</li>
</ul>
</li>
<li>Proven experience designing and positioning enterprise data center and end-user solutions</li>
<li>Strong experience preparing technical proposals, compliance matrices, and customer presentations</li>
<li>Experience supporting enterprise and government customer engagements is preferred</li>
</ul>
<h4>Certifications (Preferred)</h4>
<ul>
<li>VMware (VCP)</li>
<li>Nutanix (NCP)</li>
<li>Dell Technologies certifications</li>
<li>Veeam, Cohesity, or backup-related certifications</li>
<li>Red Hat certifications</li>
<li>Oracle Hardware certifications</li>
<li>Huawei certifications</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>About the opportunity</h4>
<p>We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs.</p>
<p>This organisation is creating AI-powered products and platforms that will transform public services across the Emirate. The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.</p>
<p>This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.</p>
<h4>Role overview</h4>
<p>We are looking for a senior AI product engineer to own the end-to-end delivery of AI-powered products.</p>
<p>You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users. This role combines applied AI engineering with strong product judgment.</p>
<p>You should be comfortable working across the full stack—from Python-based AI systems and APIs to React frontends—and accountable for how your products perform in production.</p>
<p>At the senior level, you will:</p>
<ul>
<li>Own AI product features from concept through production</li>
<li>Build and optimize RAG pipelines and agent-based systems</li>
<li>Develop backend services and modern user interfaces</li>
<li>Make sound technical and product decisions</li>
<li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li>
</ul>
<h4>Key responsibilities</h4>
<p><strong>End-to-end AI product development</strong></p>
<ul>
<li>Design and build AI-powered assistants, copilots, and automation tools</li>
<li>Architect retrieval-augmented generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking</li>
<li>Develop agent-based workflows with tool use, planning, and multi-step reasoning</li>
<li>Build reusable AI components and integration libraries for multiple products</li>
</ul>
<p><strong>Full-stack engineering</strong></p>
<ul>
<li>Build React and Next.js interfaces with streaming responses and conversational experiences</li>
<li>Develop backend APIs and services in Python, Java/Kotlin, or Node.js</li>
<li>Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant</li>
<li>Instrument AI systems using Langfuse and Grafana for tracing and observability</li>
</ul>
<p><strong>Product ownership & engineering excellence</strong></p>
<ul>
<li>Evaluate product requirements and ensure solutions solve the right problems</li>
<li>Optimize systems for reliability, latency, and user trust</li>
<li>Document technical decisions and architecture clearly</li>
<li>Mentor engineers and contribute to engineering best practices</li>
</ul>
<h4>Basic qualifications</h4>
<ul>
<li>7+ years of software engineering experience</li>
<li>Proven experience shipping end-to-end product features across AI, backend, and frontend layers</li>
<li>Strong proficiency in Python and experience building LLM-powered systems</li>
<li>Solid React fundamentals, including state management, accessibility, and performance</li>
<li>Experience building production APIs in Python, Java/Kotlin, or Node.js</li>
<li>Working knowledge of PostgreSQL and relational schema design</li>
<li>Understanding of common LLM production challenges such as hallucination, latency, and context degradation</li>
<li>Practical use of AI coding assistants such as Codex or Claude Code</li>
<li>Strong system design, testing, debugging, and performance optimization skills</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI</li>
<li>Experience designing streaming APIs with SSE or WebSockets</li>
<li>Strong familiarity with Next.js, Tailwind CSS, TanStack Query, and Zustand</li>
<li>Experience deploying AI applications on Azure using Docker and CI/CD pipelines</li>
<li>Familiarity with vector databases such as Qdrant or pgvector</li>
<li>Experience working in government, public sector, financial services, or other regulated environments</li>
</ul>
<h4>Technology stack</h4>
<ul>
<li>Frontend: React, Next.js, Tailwind CSS</li>
<li>Backend: Python, Java, Kotlin, Node.js</li>
<li>AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS</li>
<li>Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage</li>
<li>Observability: Langfuse, Grafana</li>
<li>Infrastructure: Docker, Azure, CI/CD pipelines</li>
<li>AI development: Codex, Claude Code, OpenCode</li>
</ul>
<h4>What we’re looking for</h4>
<p>You are an engineer who:</p>
<ul>
<li>Takes ownership across the full product lifecycle</li>
<li>Balances technical depth with strong product judgment</li>
<li>Builds AI products that users trust in production</li>
<li>Makes evidence-based decisions</li>
<li>Communicates clearly and proactively</li>
<li>Embraces AI-native development practices</li>
</ul>
<h4>Why apply?</h4>
<p>This is an opportunity to help shape the future of AI-powered public services in Abu Dhabi.</p>
<p>You’ll work on meaningful products with real-world impact, solving complex challenges in applied AI, product engineering, and large-scale deployment.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>About the opportunity</h4>
<p>We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs.</p>
<p>This organisation is creating AI-powered products and platforms that will transform public services across the Emirate. The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.</p>
<p>This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.</p>
<h4>Role overview</h4>
<p>We are looking for a senior AI product engineer to own the end-to-end delivery of AI-powered products.</p>
<p>You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users. This role combines applied AI engineering with strong product judgment.</p>
<p>You should be comfortable working across the full stack—from Python-based AI systems and APIs to React frontends—and accountable for how your products perform in production.</p>
<p>At the senior level, you will:</p>
<ul>
<li>Own AI product features from concept through production</li>
<li>Build and optimize RAG pipelines and agent-based systems</li>
<li>Develop backend services and modern user interfaces</li>
<li>Make sound technical and product decisions</li>
<li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li>
</ul>
<h4>Key responsibilities</h4>
<p><strong>End-to-end AI product development</strong></p>
<ul>
<li>Design and build AI-powered assistants, copilots, and automation tools</li>
<li>Architect retrieval-augmented generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking</li>
<li>Develop agent-based workflows with tool use, planning, and multi-step reasoning</li>
<li>Build reusable AI components and integration libraries for multiple products</li>
</ul>
<p><strong>Full-stack engineering</strong></p>
<ul>
<li>Build React and Next.js interfaces with streaming responses and conversational experiences</li>
<li>Develop backend APIs and services in Python, Java/Kotlin, or Node.js</li>
<li>Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant</li>
<li>Instrument AI systems using Langfuse and Grafana for tracing and observability</li>
</ul>
<p><strong>Product ownership & engineering excellence</strong></p>
<ul>
<li>Evaluate product requirements and ensure solutions solve the right problems</li>
<li>Optimize systems for reliability, latency, and user trust</li>
<li>Document technical decisions and architecture clearly</li>
<li>Mentor engineers and contribute to engineering best practices</li>
</ul>
<h4>Basic qualifications</h4>
<ul>
<li>7+ years of software engineering experience</li>
<li>Proven experience shipping end-to-end product features across AI, backend, and frontend layers</li>
<li>Strong proficiency in Python and experience building LLM-powered systems</li>
<li>Solid React fundamentals, including state management, accessibility, and performance</li>
<li>Experience building production APIs in Python, Java/Kotlin, or Node.js</li>
<li>Working knowledge of PostgreSQL and relational schema design</li>
<li>Understanding of common LLM production challenges such as hallucination, latency, and context degradation</li>
<li>Practical use of AI coding assistants such as Codex or Claude Code</li>
<li>Strong system design, testing, debugging, and performance optimization skills</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI</li>
<li>Experience designing streaming APIs with SSE or WebSockets</li>
<li>Strong familiarity with Next.js, Tailwind CSS, TanStack Query, and Zustand</li>
<li>Experience deploying AI applications on Azure using Docker and CI/CD pipelines</li>
<li>Familiarity with vector databases such as Qdrant or pgvector</li>
<li>Experience working in government, public sector, financial services, or other regulated environments</li>
</ul>
<h4>Technology stack</h4>
<ul>
<li>Frontend: React, Next.js, Tailwind CSS</li>
<li>Backend: Python, Java, Kotlin, Node.js</li>
<li>AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS</li>
<li>Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage</li>
<li>Observability: Langfuse, Grafana</li>
<li>Infrastructure: Docker, Azure, CI/CD pipelines</li>
<li>AI development: Codex, Claude Code, OpenCode</li>
</ul>
<h4>What we’re looking for</h4>
<p>You are an engineer who:</p>
<ul>
<li>Takes ownership across the full product lifecycle</li>
<li>Balances technical depth with strong product judgment</li>
<li>Builds AI products that users trust in production</li>
<li>Makes evidence-based decisions</li>
<li>Communicates clearly and proactively</li>
<li>Embraces AI-native development practices</li>
</ul>
<h4>Why apply?</h4>
<p>This is an opportunity to help shape the future of AI-powered public services in Abu Dhabi.</p>
<p>You’ll work on meaningful products with real-world impact, solving complex challenges in applied AI, product engineering, and large-scale deployment.</p></p><p></p>
Confidential
Jordan - Amman
<p>Description
About the Opportunity
We are hiring on behalf of a leading government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious AI programs.
This organisation is creating the infrastructure, platforms, and products that will enable government entities to operate as AI-native institutions. The work spans sovereign AI infrastructure, event-driven systems, and production-grade applications that support critical public services.
This is an opportunity to work on highly impactful systems where reliability, scalability, and security are essential.
Role Overview
We are looking for a Senior Backend Engineer to design, build, and operate the backend platform that powers advanced AI and data products.
You will own core services, APIs, event pipelines, and data infrastructure that support production systems at scale. This role is backend-focused and requires deep expertise in distributed systems, cloud infrastructure, Kubernetes, and database reliability.
While you do not need to be an AI specialist, you should be comfortable building the platform foundations that modern AI applications depend on.
At the senior level, you will:
Architect and own major backend subsystems end-to-end
Lead reliability and operational excellence initiatives
Mentor other engineers and contribute to technical standards
Collaborate with senior technical leadership to shape platform direction
Use AI coding tools such as Codex, Claude Code, or similar in your daily workflow
Key Responsibilities
Backend Services & Event-Driven Architecture
Design, build, and operate scalable backend services and APIs
Develop event-driven systems using Kafka, Azure Service Bus, or Azure Event Hubs
Build data pipelines, ETL processes, and shared platform abstractions
Manage PostgreSQL, caching, and object storage infrastructure
Cloud Infrastructure & Reliability
Deploy and operate containerized services on Kubernetes
Build CI/CD pipelines and infrastructure-as-code using Terraform
Manage cloud infrastructure on Azure
Define and monitor SLOs, metrics, logging, tracing, and alerting
Lead incident response, root-cause analysis, and postmortems
Security, Standards & Mentorship
Implement secure engineering practices and compliance requirements
Contribute to IAM, secrets management, network policy, and zero-trust architecture
Mentor engineers through design reviews and code reviews
Basic Qualifications
7+ years of backend or platform engineering experience
Strong expertise in distributed systems and event-driven architecture
Proficiency in Python, Java/Kotlin, or Go
Hands-on experience with Azure (AWS or GCP experience also valued)
Production experience with Docker and Kubernetes
Strong knowledge of PostgreSQL at scale
Experience with observability, SLOs, and incident response
Practical use of AI coding assistants such as Codex or Claude Code
Excellent written and verbal communication skills
Preferred Qualifications
Experience building internal developer platforms and shared tooling
Service mesh experience (Istio, Linkerd)
Familiarity with CQRS, event sourcing, sagas, and outbox patterns
Experience with Redis, Elasticsearch, or OpenSearch
Exposure to AI infrastructure such as retrieval pipelines and model serving
Security experience in regulated environments
Experience working in government, defense, financial services, or similar sectors
Technology Stack
Languages: Python, Java, Kotlin, Go
APIs: REST, gRPC, WebSockets, SSE
Event Streaming: Kafka, Azure Service Bus, Azure Event Hubs
Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage
Infrastructure: Azure, Docker, Kubernetes, Terraform
Observability: Prometheus, Grafana, OpenTelemetry
Security: Entra ID, RBAC, Secrets Management, Zero Trust
AI Development: Codex, Claude Code, OpenCode
What We’re Looking For
You are an engineer who:
Takes full ownership from design to production operations
Builds reliable, scalable systems with strong operational discipline
Makes evidence-based technical decisions
Mentors others and raises the engineering bar
Communicates clearly and proactively
Embraces AI-native engineering practices
Why Apply?
This role offers the opportunity to work on highly consequential systems that will shape the future of AI-powered public services.
You’ll join a world-class engineering environment tackling complex challenges in backend infrastructure, distributed systems, and cloud architecture—while delivering meaningful impact at a national scale.</p><p></p>
Confidential
Jordan - Amman
<p>Description
About the Opportunity
We are hiring on behalf of a leading government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious AI programs.
This organisation is creating the infrastructure, platforms, and products that will enable government entities to operate as AI-native institutions. The work spans sovereign AI infrastructure, event-driven systems, and production-grade applications that support critical public services.
This is an opportunity to work on highly impactful systems where reliability, scalability, and security are essential.
Role Overview
We are looking for a Senior Backend Engineer to design, build, and operate the backend platform that powers advanced AI and data products.
You will own core services, APIs, event pipelines, and data infrastructure that support production systems at scale. This role is backend-focused and requires deep expertise in distributed systems, cloud infrastructure, Kubernetes, and database reliability.
While you do not need to be an AI specialist, you should be comfortable building the platform foundations that modern AI applications depend on.
At the senior level, you will:
Architect and own major backend subsystems end-to-end
Lead reliability and operational excellence initiatives
Mentor other engineers and contribute to technical standards
Collaborate with senior technical leadership to shape platform direction
Use AI coding tools such as Codex, Claude Code, or similar in your daily workflow
Key Responsibilities
Backend Services & Event-Driven Architecture
Design, build, and operate scalable backend services and APIs
Develop event-driven systems using Kafka, Azure Service Bus, or Azure Event Hubs
Build data pipelines, ETL processes, and shared platform abstractions
Manage PostgreSQL, caching, and object storage infrastructure
Cloud Infrastructure & Reliability
Deploy and operate containerized services on Kubernetes
Build CI/CD pipelines and infrastructure-as-code using Terraform
Manage cloud infrastructure on Azure
Define and monitor SLOs, metrics, logging, tracing, and alerting
Lead incident response, root-cause analysis, and postmortems
Security, Standards & Mentorship
Implement secure engineering practices and compliance requirements
Contribute to IAM, secrets management, network policy, and zero-trust architecture
Mentor engineers through design reviews and code reviews
Basic Qualifications
7+ years of backend or platform engineering experience
Strong expertise in distributed systems and event-driven architecture
Proficiency in Python, Java/Kotlin, or Go
Hands-on experience with Azure (AWS or GCP experience also valued)
Production experience with Docker and Kubernetes
Strong knowledge of PostgreSQL at scale
Experience with observability, SLOs, and incident response
Practical use of AI coding assistants such as Codex or Claude Code
Excellent written and verbal communication skills
Preferred Qualifications
Experience building internal developer platforms and shared tooling
Service mesh experience (Istio, Linkerd)
Familiarity with CQRS, event sourcing, sagas, and outbox patterns
Experience with Redis, Elasticsearch, or OpenSearch
Exposure to AI infrastructure such as retrieval pipelines and model serving
Security experience in regulated environments
Experience working in government, defense, financial services, or similar sectors
Technology Stack
Languages: Python, Java, Kotlin, Go
APIs: REST, gRPC, WebSockets, SSE
Event Streaming: Kafka, Azure Service Bus, Azure Event Hubs
Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage
Infrastructure: Azure, Docker, Kubernetes, Terraform
Observability: Prometheus, Grafana, OpenTelemetry
Security: Entra ID, RBAC, Secrets Management, Zero Trust
AI Development: Codex, Claude Code, OpenCode
What We’re Looking For
You are an engineer who:
Takes full ownership from design to production operations
Builds reliable, scalable systems with strong operational discipline
Makes evidence-based technical decisions
Mentors others and raises the engineering bar
Communicates clearly and proactively
Embraces AI-native engineering practices
Why Apply?
This role offers the opportunity to work on highly consequential systems that will shape the future of AI-powered public services.
You’ll join a world-class engineering environment tackling complex challenges in backend infrastructure, distributed systems, and cloud architecture—while delivering meaningful impact at a national scale.</p><p></p>
toto
Jordan - Amman
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are seeking an enthusiastic and customer-focused IT Support Engineer to join a dedicated support team serving a leading international organisation. This is an excellent opportunity for candidates looking to develop their technical skills while working closely with an experienced global IT team in a fast-paced and professional environment. Key Responsibilities Support & Service Delivery Provide remote IT support to end users, ensuring incidents and requests are resolved within agreed service levels. Act as an escalation point for complex support issues and coordinate with third-party vendors when required. Take ownership of assigned tasks and incidents from initiation through to resolution. Communicate effectively with users and stakeholders via phone, email, and virtual meetings. Follow established IT service management processes and escalation procedures. Collaborate with internal and external IT teams to deliver high-quality support services. Assist with technical project activities as required. Maintain accurate and up-to-date technical documentation. Contribute ideas and recommendations to improve IT services and operational processes. Technical Responsibilities Investigate and troubleshoot technical issues requiring deeper analysis and problem-solving. Perform daily, weekly, and monthly operational checks to ensure system health and stability. Monitor and respond to alerts generated from various IT management and security platforms. Support IT projects and technology improvement initiatives. Manage and maintain technical documentation in line with established standards and procedures. Assist with hardware lifecycle management activities, including device deployment and refresh programmes. Support endpoint management, security, and device administration activities. Technologies and Platforms Experience with, or exposure to, the following technologies would be advantageous: Microsoft 365 Microsoft Intune Microsoft Defender Active Directory Windows Operating Systems Endpoint Management Solutions IT Monitoring and Service Management Platforms</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Required Qualifications</b></p><p>Bachelor's degree in Computer Science, Information Technology, or a related field.</p><p>Excellent written and spoken English communication skills.</p><p>0 - 2 years of experience in an IT Support, Service Desk, or Technical Support role.</p><p></p></section>
Jordan - Jordan
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Overview InSite are urban designers, planners and landscape architects who share a love for the craft of designing the built environment and consist of a diverse studio of designers from around the world. We are a diverse studio of designers from around the world with studios in Abu Dhabi, Dubai and Doha. Responsibilities Our newest opportunity is for a talented Senior Landscape Irrigation Designer to join our InSite in Amman, Jordan. We are seeking a Senior Landscape Irrigation Design Engineer with over 10 years of experience to lead the planning, concept, and detailed design of large-scale irrigation infrastructure networks. This role focuses on primary irrigation networks, and integrated potable water distribution networks largescale landscape developments. The ideal candidate will possess deep expertise in Middle Eastern and international utility standards, advanced design and modeling software experience, and multidisciplinary coordination. We envisage success in this role to include; Designing irrigation pumprooms including tie-in points, pump room sizing, pump room layout development, and equipment specifications. Demonstrating an expert understanding of the aesthetic, technical, resource and financial components of landscape architecture. Guiding the aesthetic and technical development of assigned projects. Demonstrating an expert understanding of production techniques, procedures and standards. Managing projects through all aspects of the design process. Leading, organising and directing teams of more junior staff in the execution of assigned projects. Performs other related tasks as directed.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>To be successful in this dynamic opportunity we envision that your career journey to date will include 10+ years of relevant work experience partnered with a Bachelor of Landscape Architecture or Civil Engineering from an accredited University or College program with a professional registration, licensure or chartership with an internationally recognized professional association. An expert understanding of the regional construction industry, local construction methods and their influence on design decisions. Strong design management experience on landscape irrigation projects and wet utilities. An expert understanding of industry codes, standards, health & safety requirements, sustainability regulations, local construction methods and their influence on design decisions. A strong understanding of key design related computer programs including Irrigation FX applications. Excellent written and verbal communication skills. The ability to comprehend, analyse, and interpret complex documents. The ability to solve problems involving several options in situations. Strong organizational, analytical and quantitative skills. The ability to make effective presentations on general topics. The ability to partner with clients to exceed their expectations and build client relations.</p><p></p></section>
Jordan
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>We are looking for an experienced Firewall Engineer with 10+ years of experience to design, implement, manage, and support enterprise firewall and network security solutions.<br> The ideal candidate will be responsible for maintaining secure network environments, implementing security policies, and ensuring the availability and performance of firewall infrastructure.<br> Key Responsibilities Configure, manage, and maintain enterprise firewall solutions.<br> Implement and enforce firewall security policies and access control rules.<br> Monitor firewall performance and troubleshoot security or connectivity issues.<br> Perform firewall upgrades, patches, and configuration changes.<br> Support network security operations and incident investigations.<br> Review and optimize firewall rules to ensure compliance and security best practices.<br> Collaborate with infrastructure and cybersecurity teams on security initiatives.<br> Maintain technical documentation and standard operating procedures.<br> Ensure firewall environments meet organizational security and compliance requirements.<br> Bachelor's degree in Computer Science, Information Technology, Cyber Security, or a related field.<br> 10+ years of experience in firewall and network security administration.<br> Strong understanding of enterprise firewall technologies.<br> Experience implementing and managing network security policies.<br> Good knowledge of network security principles and troubleshooting.<br> Strong analytical and problem-solving skills.<br> Good communication and teamwork skills.<br> Nice to Have Firewall vendor certifications.<br> Experience with enterprise network environments.<br> Knowledge of VPNs, NAT, and network segmentation.<br></span> </div>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Optimiza is seeking a skilled VOIP engineer with a focus on voice engineering to join our team. The successful candidate will be responsible for designing, implementing, and supporting voice network solutions, ensuring seamless communication and collaboration across the organization.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Install, configure, and maintain Cisco Unified Communications Manager (CUCM) and related UC applications (Unity Connection, IM&P, CER, UCCX).</li>
<li>Manage SIP trunks, dial plans, route patterns, translation rules, and call-routing logic.</li>
<li>Support and configure Cisco IP phones, softphones, and video endpoints.</li>
<li>Provide level 1–3 support for VoIP issues including call quality, registration failures, codec mismatches, and signaling problems.</li>
<li>Troubleshoot SIP, SCCP, RTP, QoS, and network-related voice issues using tools such as RTMT, Wireshark, and Cisco logs.</li>
<li>Monitor performance, resolve incidents, and perform root-cause analysis.</li>
<li>Work with network teams to ensure proper QoS markings, VLAN configurations, and bandwidth provisioning for voice traffic.</li>
<li>Validate end-to-end connectivity and ensure adherence to voice network best practices.</li>
<li>Configure and manage Cisco voice gateways (MGCP, H.323, SIP), CUBE, and PSTN connectivity.</li>
<li>Implement dial-peers, transcoding, conferencing resources, and survivability mechanisms (SRST).</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in Telecommunication Engineering or any other relevant field.</li>
<li>1-3 years of experience in implementing Cisco VOIP solutions.</li>
<li>CCNP Collaboration preferred.</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Optimiza is seeking a skilled VOIP engineer with a focus on voice engineering to join our team. The successful candidate will be responsible for designing, implementing, and supporting voice network solutions, ensuring seamless communication and collaboration across the organization.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Install, configure, and maintain Cisco Unified Communications Manager (CUCM) and related UC applications (Unity Connection, IM&P, CER, UCCX).</li>
<li>Manage SIP trunks, dial plans, route patterns, translation rules, and call-routing logic.</li>
<li>Support and configure Cisco IP phones, softphones, and video endpoints.</li>
<li>Provide level 1–3 support for VoIP issues including call quality, registration failures, codec mismatches, and signaling problems.</li>
<li>Troubleshoot SIP, SCCP, RTP, QoS, and network-related voice issues using tools such as RTMT, Wireshark, and Cisco logs.</li>
<li>Monitor performance, resolve incidents, and perform root-cause analysis.</li>
<li>Work with network teams to ensure proper QoS markings, VLAN configurations, and bandwidth provisioning for voice traffic.</li>
<li>Validate end-to-end connectivity and ensure adherence to voice network best practices.</li>
<li>Configure and manage Cisco voice gateways (MGCP, H.323, SIP), CUBE, and PSTN connectivity.</li>
<li>Implement dial-peers, transcoding, conferencing resources, and survivability mechanisms (SRST).</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in Telecommunication Engineering or any other relevant field.</li>
<li>1-3 years of experience in implementing Cisco VOIP solutions.</li>
<li>CCNP Collaboration preferred.</li>
</ul></p><p></p>
toto
Jordan - Amman
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><br></p><p><b>Job Summary</b></p><p>The Managed Services Team Lead is a senior technical and people leadership role responsible for leading the Managed Services team, ensuring operational excellence across all customer environments, and acting as the last technical escalation point before executive leadership. This role requires deep, hands-on AWS expertise combined with strong people management skills. The Team Lead owns the end-to-end managed services operation and builds and maintains the operational standards, monitoring strategies, and automation that keep customer environments healthy and stable. As an Advanced AWS Partner, cirrusgo expects the Managed Services Team Lead to uphold the highest technical standards, drive team certification goals, and contribute to AWS competency and program readiness.</p><p>Key Responsibilities</p><ul><li>Lead and manage the Managed Services team including Cloud Support Engineers</li><li>Act as the last technical escalation point for all managed services issues personally diagnose and resolve the most complex AWS infrastructure, networking, security, database, and performance problems.</li><li>Own end-to-end managed services operations with full accountability for SLA compliance, uptime, and customer satisfaction.</li><li>Lead incident response for critical customer incidents, coordinate cross-functional response, and drive root cause analysis and permanent remediation.</li><li>Adapt and Develop monitoring, alerting, and observability strategies using related tools to ensure proactive detection of issues.</li><li>Establish and enforce operational standards, runbooks, playbooks, escalation procedures, and change management processes.</li><li>Implement and maintain automation for operational tasks including patching, scaling, backup, disaster recovery testing, and infrastructure provisioning.</li><li>Drive capacity planning, performance optimization, and cost optimization across managed customer environments.</li><li>Conduct regular operational reviews with customers, present SLA compliance reports, and drive continuous service improvement.</li><li>Define team objectives, KPIs, and performance metrics for managed services engineers.</li><li>Oversee individual development plans, coaching, performance management, and succession planning.</li><li>Drive team certification strategy ensuring engineers meet cirrusgo's AWS certification targets.</li><li>Manage on-call rotations, shift scheduling, and ensure adequate coverage models are effective.</li><li>Collaborate with Solutions Architects during technical handover to ensure operational readiness of new customer environments.</li><li>Collaborate with the Service Delivery Manager on customer retention, expansion opportunities, and service improvement initiatives.</li><li>Contribute to cirrusgo's AWS competency requirements through documented case studies and technical leadership.</li><li>Adhere to cirrusgo standards, security guidelines, ethical conduct, and professional behavior at all times.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science, Engineering, or a related field (Master s degree is a plus)</p><p>7+ years of hands-on experience in AWS cloud infrastructure, operations, and troubleshooting</p><p>3+ years of experience managing or leading technical teams in managed services or cloud operations environments.</p><p>Deep expertise across core AWS services: EC2, VPC, RDS, S3, IAM, CloudWatch, Lambda, ECS/EKS, Route 53, CloudFront, Direct Connect, Transit Gateway, Organizations, Control Tower, and others.</p><p>Proven ability to troubleshoot and resolve complex, multi-layered AWS issues across compute, networking, storage, database, and security.</p><p>Strong experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, ELK/OpenSearch, etc.)</p><p>Experience with infrastructure as code (CloudFormation, Terraform, CDK) and automation tools (Ansible, Systems Manager, Lambda)</p><p>Deep understanding of AWS networking including VPC design, Transit Gateway, Direct Connect, VPN, Route 53, and hybrid connectivity</p><p>Deep understanding of AWS security including IAM, GuardDuty, Security Hub, WAF, KMS, and compliance frameworks</p><p>Proven people management experience including coaching, performance management, and team development</p><p>Strong customer-facing skills with experience conducting operational reviews and SLA reporting</p><p>ITIL Foundation or higher certification</p><p>At least AWS Solutions Architect Professional or AWS DevOps Engineer Professional</p><p>AWS Specialty certification (preferred: Advanced Networking or Security)</p><p>Any additional operations, Linux, or security certifications (nice to have)</p><p></p></section>
Jordan
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>We are looking for Expert Storage Administrators with strong hands-on experience managing S3 and NFS storage platforms within high-performance computing (HPC) environments.<br> The role is responsible for ensuring high availability, performance, scalability, capacity, and secure data access across storage infrastructure.<br> Key Responsibilities Administer, configure, and support S3 and NFS storage platforms .<br> Monitor and optimize storage performance, capacity, availability, and scalability .<br> Manage storage access, permissions, quotas, replication, and data protection .<br> Troubleshoot storage, filesystem, and data-access issues across HPC environments.<br> Support storage integration with Linux, Kubernetes, and HPC workloads .<br> Perform storage health monitoring, performance analysis, and capacity planning.<br> Support data replication, backup, recovery, and protection mechanisms.<br> Automate routine storage administration and maintenance activities where applicable.<br> Participate in incident resolution and root-cause analysis for storage-related issues.<br> Maintain technical documentation, configurations, and operational procedures.<br> Strong hands-on experience as a Storage Administrator / Storage Engineer .<br> Expert-level S3 and NFS administration is mandatory.<br> Experience supporting HPC storage environments .<br> Strong knowledge of Linux storage and filesystem administration .<br> Experience integrating storage with Kubernetes/containerized workloads .<br> Strong understanding of: S3 / Object Storage NFS Storage performance & monitoring Capacity management Permissions & access control Quotas Replication Data protection High availability Experience troubleshooting complex storage and data-access issues .<br> Experience with storage automation/scripting is preferred.<br> Relevant storage certifications are preferred.<br></span> </div>
toto
Jordan - Amman
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><b>Responsibilities:</b></p><p>Key Responsibilities</p><ul><li>Troubleshoot and repair machines</li><li>Reduce downtime of machines to support production demand</li><li>Design, engineer, and fabricate machine parts as required</li><li>Perform preventative maintenance on machines as scheduled</li><li>Meet with production leads and supervisors regarding operation of machines</li></ul><p>Additional Responsibilities</p><ul><li>Basic PLC knowledge and troubleshooting</li><li>Assist in the maintenance and repair production equipment s</li><li>Perform routine maintenance functions and adjustments to equipment s</li><li>Responsible for shop cleanliness, safety and compliance</li><li>Follow Health, Safety, Environmental, Quality and Lean standards</li></ul><p>Interactions:</p><p>All functional areas of Production</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>High School diploma or equivalent level of education required</li><li>5+ years of machine repair experience in Production setting</li><li>Prior experience performing preventative Maintenance on machines</li><li>Electrical experience</li><li>Pneumatic experience</li><li>Prior experience effectively trouble-shooting automation equipment</li></ul><p>Specific knowledge</p><ul><li>Mechanical aptitude</li><li>Basic PLC knowledge and troubleshooting</li><li>Lift objects of various shapes, sizes and weights</li><li>Excellent listening skills and ability to follow instructions as well as provide directions on step-by-step repair process</li><li>Motivated, organized, eager to learn and possess a positive attitude toward the job</li></ul><p>Specific competencies</p><ul><li>Motivated individuals who want to work and will show up to their scheduled shifts on time and excited and ready to work</li><li>High level of accuracy and attention to detail</li><li>Priorities setting capabilities, time management and flexibility</li><li>Trouble shooting and learning</li><li>Strong communication skills</li></ul><p></p></section>
Jordan
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<br>Company Description<br><br><p>Join a hotel that is a member of the Accor network, whose group brings together more than 45 brands, 5,500 hotels, 10,000 restaurants and lifestyle destinations. Here, we believe in you and what you bring to the table. There are many opportunities for development and advancement. Every gesture, every smile, every action, contributes to creating a positive and memorable impact for our customers, our colleagues and also for our planet. Together, we embody the vision of responsible hospitality.</p><br><p>Take the opportunity to become a Heartist®, and let your heart guide you in this world where life beats faster.</p><br><br>Job Description<br><br><p><strong>Job Summary:</strong></p><br><p>The Chief Engineer at Movenpick Resort Petra Jordan is responsible for the overall supervision, management, and leadership of the engineering department. This role ensures the smooth operation of all hotel facilities, including mechanical, electrical, plumbing, and HVAC systems. The Chief Engineer plays a crucial role in maintaining the hotel’s safety standards, managing energy efficiency, and providing a high level of service to both internal and external guests.</p><br><p><strong>Key Responsibilities:</strong></p><br><ol><li><p><strong>Leadership and Team Management:</strong></p><br><ul><li>Lead and supervise the engineering team, including recruiting, training, and developing staff to maintain a highly skilled and motivated team.</li><li>Assign tasks, manage shifts, and oversee daily operations of the engineering department.</li><li>Provide technical expertise and support for maintenance staff.</li></ul></li><li><p><strong>Maintenance and Operations:</strong></p><br><ul><li>Oversee all maintenance programs, preventive maintenance, and repairs for all hotel equipment, including HVAC, electrical, plumbing, and fire safety systems.</li><li>Ensure that all hotel facilities and systems are functioning efficiently and in compliance with safety and regulatory standards.</li><li>Manage day-to-day operational issues, ensuring quick and efficient problem resolution to minimize downtime and guest inconvenience.</li></ul></li><li><p><strong>Budget and Financial Management:</strong></p><br><ul><li>Prepare and manage the department's budget, including controlling costs related to maintenance, energy consumption, and capital expenditures.</li><li>Ensure proper inventory control of parts and supplies, as well as efficient energy and water management to optimize operational expenses.</li><li>Monitor and analyze energy consumption, looking for cost-saving opportunities.</li></ul></li><li><p><strong>Health, Safety, and Compliance:</strong></p><br><ul><li>Ensure all building systems comply with health and safety regulations, including fire safety systems, emergency lighting, and building security.</li><li>Oversee regular safety inspections and ensure compliance with all local, national, and international standards and regulations.</li><li>Act as the key contact during emergencies and ensure the safety of guests and employees.</li></ul></li><li><p><strong>Capital Projects and Renovations:</strong></p><br><ul><li>Oversee engineering aspects of capital projects, renovations, and upgrades within the hotel, ensuring work is completed on time and within budget.</li><li>Collaborate with external contractors and service providers as needed for large-scale projects and technical services.</li></ul></li><li><p><strong>Collaboration with Other Departments:</strong></p><br><ul><li>Work closely with the housekeeping, front office, and food & beverage departments to ensure all guest areas and back-of-house operations are in optimal condition.</li><li>Assist in setting up rooms, conference facilities, and event spaces when engineering support is needed.</li><li>Provide timely communication and status updates on engineering tasks to hotel management.</li></ul></li><li><p><strong>Sustainability and Environmental Initiatives:</strong></p><br><ul><li>Develop and implement energy conservation and sustainability initiatives to reduce the hotel's environmental impact.</li><li>Collaborate with the management team on environmental sustainability efforts, ensuring alignment with the hotel's corporate responsibility policies.</li></ul></li></ol><br>Qualifications<br><br><p><strong>Qualifications:</strong></p><br><ul><li>Bachelor's degree in Mechanical, Electrical, Civil Engineering, or a related field.</li><li>7+ years of experience in hotel engineering or facilities management, with at least 3 years in a senior engineering leadership role.</li><li>Strong technical knowledge of building systems, including HVAC, electrical, plumbing, and fire safety.</li><li>Experience in budgeting, project management, and contractor management.</li><li>Excellent leadership, communication, and problem-solving skills.</li><li>Knowledge of sustainability practices and energy management systems is preferred.</li><li>Familiarity with local regulations, building codes, and safety standards.</li></ul><p><strong>Competencies:</strong></p><br><ul><li>Strong leadership and team management capabilities.</li><li>Analytical and detail-oriented with excellent organizational skills.</li><li>Ability to work under pressure and manage multiple priorities.</li><li>Strong communication and interpersonal skills.</li><li>Proficiency in relevant software and systems, including BMS (Building Management Systems).</li></ul><br>Additional Information<br><br><p>Your team and working environment:<br>In 1-2 sentences, introduce the team, property or office environment in a way that reflects the culture<br>Note: Customization may be included for any specific local or legislative requirements, such as work permits<br>Our commitment to Diversity & Inclusion:<br>We are an inclusive company and our ambition is to attract, recruit and promote diverse talent.</p><br> </div>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>A leading global pharmaceutical company is seeking a Director, Data & Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data & Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p>
<h4>Responsibilities:</h4>
<p><strong>1. Platform architecture & engineering leadership:</strong><br>
Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardized, reliable, and engineered to scale.<br>
Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it.<br>
Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data.<br>
Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand.<br>
Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required.<br>
Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring.</p>
<p><strong>2. Delivery & data products:</strong><br>
Run the D&A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions.<br>
Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output.<br>
Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them.<br>
Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness.<br>
Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs.<br>
Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers.<br>
Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability.</p>
<p><strong>3. Data governance & quality:</strong><br>
Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions.<br>
Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths.<br>
Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard.<br>
Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer.<br>
Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design.<br>
Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners.<br>
Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases.</p>
<p><strong>4. Team leadership & capability development:</strong><br>
Lead, hire, and develop the D&A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand.<br>
Define and evolve the role design, skills profile, and career framework for the team within the broader Data & AI CoE structure.<br>
Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline.<br>
Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles.<br>
Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities.<br>
Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output.</p>
<p><strong>5. Business partnership & vendor engagement:</strong><br>
Serve as the senior D&A point of contact for business function leadership, translating business data needs into platform and delivery priorities.<br>
Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations.<br>
Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early.<br>
Represent D&A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions.<br>
Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners.</p>
<h4>Requirements</h4>
<p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline.<br>
Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred.<br>
Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred.<br>
Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles.<br>
Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team.<br>
Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level.<br>
Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment.<br>
Experience with Medallion/lakehouse architecture patterns in production.<br>
Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred.<br>
Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred.<br>
Experience leading a data governance or catalogue implementation, from design through to business adoption.<br>
Life sciences, pharmaceutical, or other regulated industry experience is preferred.</p>
<h4>Skills:</h4>
<p><strong>Technical competencies:</strong><br>
Data platform architecture<br>
Data engineering, pipeline design & CDC patterns<br>
Data modelling, transformation & engineering standards<br>
Data governance, quality & catalogue<br>
Analytics & BI delivery<br>
MLOps & ML platform foundations<br>
Delivery management & agile methods</p>
<p><strong>Platform & technical skills:</strong><br>
Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps.<br>
Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow.<br>
Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar).<br>
Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale.<br>
CI/CD for data pipelines, practical implementation at production scale.<br>
Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows.<br>
Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub.</p>
<p><strong>Leadership & business skills:</strong><br>
Credible with both technical teams and senior business stakeholders.<br>
Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically.<br>
Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap.<br>
Strong written and verbal communication in English; Arabic proficiency valued.<br>
Cultural intelligence for working effectively across MENA, US, and Europe.</p></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>A leading global pharmaceutical company is seeking a Director, Data & Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data & Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p>
<h4>Responsibilities:</h4>
<p><strong>1. Platform architecture & engineering leadership:</strong><br>
Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardized, reliable, and engineered to scale.<br>
Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it.<br>
Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data.<br>
Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand.<br>
Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required.<br>
Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring.</p>
<p><strong>2. Delivery & data products:</strong><br>
Run the D&A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions.<br>
Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output.<br>
Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them.<br>
Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness.<br>
Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs.<br>
Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers.<br>
Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability.</p>
<p><strong>3. Data governance & quality:</strong><br>
Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions.<br>
Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths.<br>
Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard.<br>
Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer.<br>
Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design.<br>
Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners.<br>
Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases.</p>
<p><strong>4. Team leadership & capability development:</strong><br>
Lead, hire, and develop the D&A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand.<br>
Define and evolve the role design, skills profile, and career framework for the team within the broader Data & AI CoE structure.<br>
Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline.<br>
Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles.<br>
Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities.<br>
Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output.</p>
<p><strong>5. Business partnership & vendor engagement:</strong><br>
Serve as the senior D&A point of contact for business function leadership, translating business data needs into platform and delivery priorities.<br>
Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations.<br>
Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early.<br>
Represent D&A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions.<br>
Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners.</p>
<h4>Requirements</h4>
<p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline.<br>
Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred.<br>
Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred.<br>
Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles.<br>
Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team.<br>
Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level.<br>
Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment.<br>
Experience with Medallion/lakehouse architecture patterns in production.<br>
Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred.<br>
Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred.<br>
Experience leading a data governance or catalogue implementation, from design through to business adoption.<br>
Life sciences, pharmaceutical, or other regulated industry experience is preferred.</p>
<h4>Skills:</h4>
<p><strong>Technical competencies:</strong><br>
Data platform architecture<br>
Data engineering, pipeline design & CDC patterns<br>
Data modelling, transformation & engineering standards<br>
Data governance, quality & catalogue<br>
Analytics & BI delivery<br>
MLOps & ML platform foundations<br>
Delivery management & agile methods</p>
<p><strong>Platform & technical skills:</strong><br>
Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps.<br>
Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow.<br>
Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar).<br>
Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale.<br>
CI/CD for data pipelines, practical implementation at production scale.<br>
Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows.<br>
Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub.</p>
<p><strong>Leadership & business skills:</strong><br>
Credible with both technical teams and senior business stakeholders.<br>
Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically.<br>
Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap.<br>
Strong written and verbal communication in English; Arabic proficiency valued.<br>
Cultural intelligence for working effectively across MENA, US, and Europe.</p></p><p></p>
Jordan
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>A leading global pharmaceutical company is seeking a Director, Data & Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data & Analytics function.<br> This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions.<br> The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.<br> Responsibilities: 1.<br> Platform Architecture & Engineering Leadership: Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardised, reliable, and engineered to scale Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring 2.<br> Delivery & Data Products: Run the D&A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability 3.<br> Data Governance & Quality: Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases 4.<br> Team Leadership & Capability Development: Lead, hire, and develop the D&A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand Define and evolve the role design, skills profile, and career framework for the team within the broader Data & AI CoE structure Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output 5.<br> Business Partnership & Vendor Engagement: Serve as the senior D&A point of contact for business function leadership, translating business data needs into platform and delivery priorities Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early Represent D&A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred Relevant certifications in cloud data platforms (e.<br>g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment Experience with Medallion/lakehouse architecture patterns in production Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred Experience leading a data governance or catalogue implementation, from design through to business adoption Life sciences, pharmaceutical, or other regulated industry experience is preferred Skills : Technical Competencies: Data Platform Architecture Data Engineering, Pipeline Design & CDC Patterns Data Modelling, Transformation & Engineering Standards Data Governance, Quality & Catalogue Analytics & BI Delivery MLOps & ML Platform Foundations Delivery Management & Agile Methods Platform & Technical Skills: Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar) Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale CI/CD for data pipelines, practical implementation at production scale Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub Leadership & Business Skills: Credible with both technical teams and senior business stakeholders Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap Strong written and verbal communication in English; Arabic proficiency valued Cultural intelligence for working effectively across MENA, US, and Europe</span> </div>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Optimiza is looking for a proactive, customer-focused Helpdesk L1/L2 Engineer to deliver technical support and resolve incidents for end users. This position emphasizes providing prompt assistance, addressing hardware and software problems, and escalating more complex issues to advanced support levels when required.</p>
<h4>Responsibilities:</h4>
<ul>
<li>Quickly respond to service requests and incidents received via phone, email, or ticketing system.</li>
<li>Diagnose and fix hardware, software, network, and application problems at Level 1 and Level 2 support tiers.</li>
<li>Support workstation setup, system configuration, and software deployment tasks.</li>
<li>Accurately record all incidents, service requests, solutions, and procedures.</li>
<li>Keep knowledge base articles updated to enhance end-user efficiency.</li>
<li>Work closely with other IT teams to escalate and track complex technical issues.</li>
<li>Uphold excellent customer service, professionalism, and clear communication at all times.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>A bachelor's degree in Computer Science, Information Technology, or a related discipline is preferred.</li>
<li>2 to 5 years of experience in helpdesk or technical support positions.</li>
<li>In-depth understanding of Windows and Linux operating systems.</li>
<li>Experience with supporting Microsoft Office 365, endpoint security solutions, and frequently used business applications.</li>
<li>Knowledge of ticketing systems and IT Service Management (ITSM) processes.</li>
<li>Strong problem-solving abilities along with excellent communication skills.</li>
<li>Capacity to manage multiple tasks simultaneously and perform efficiently under pressure in a dynamic environment.</li>
<li>Basic knowledge of networking concepts such as TCP/IP, DNS, and DHCP is an advantage.</li>
<li>Possession of relevant certifications like CompTIA A+, CompTIA Network+, or ITIL Foundation is beneficial.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Bonus</li>
<li>Medical insurance</li>
</ul></p><p></p>
Confidential
Jordan - Amman
<p><h4>Description</h4>
<p>Optimiza is looking for a proactive, customer-focused Helpdesk L1/L2 Engineer to deliver technical support and resolve incidents for end users. This position emphasizes providing prompt assistance, addressing hardware and software problems, and escalating more complex issues to advanced support levels when required.</p>
<h4>Responsibilities:</h4>
<ul>
<li>Quickly respond to service requests and incidents received via phone, email, or ticketing system.</li>
<li>Diagnose and fix hardware, software, network, and application problems at Level 1 and Level 2 support tiers.</li>
<li>Support workstation setup, system configuration, and software deployment tasks.</li>
<li>Accurately record all incidents, service requests, solutions, and procedures.</li>
<li>Keep knowledge base articles updated to enhance end-user efficiency.</li>
<li>Work closely with other IT teams to escalate and track complex technical issues.</li>
<li>Uphold excellent customer service, professionalism, and clear communication at all times.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>A bachelor's degree in Computer Science, Information Technology, or a related discipline is preferred.</li>
<li>2 to 5 years of experience in helpdesk or technical support positions.</li>
<li>In-depth understanding of Windows and Linux operating systems.</li>
<li>Experience with supporting Microsoft Office 365, endpoint security solutions, and frequently used business applications.</li>
<li>Knowledge of ticketing systems and IT Service Management (ITSM) processes.</li>
<li>Strong problem-solving abilities along with excellent communication skills.</li>
<li>Capacity to manage multiple tasks simultaneously and perform efficiently under pressure in a dynamic environment.</li>
<li>Basic knowledge of networking concepts such as TCP/IP, DNS, and DHCP is an advantage.</li>
<li>Possession of relevant certifications like CompTIA A+, CompTIA Network+, or ITIL Foundation is beneficial.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Bonus</li>
<li>Medical insurance</li>
</ul></p><p></p>