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ai software engineer llm engineer

TAWANTECH

<div><p><b>Job Summary</b></p><p>
We are seeking an AI Software Engineer with hands-on experience in Large Language Models (LLMs) and Generative AI technologies to develop intelligent solutions that enhance customer experience, operational efficiency, and knowledge management within the banking sector.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li>Design, develop, and deploy AI-powered applications leveraging LLMs and Generative AI.</li><li>Build Retrieval-Augmented Generation (RAG) solutions using enterprise banking data.</li><li>Develop intelligent assistants, chatbots, and knowledge management solutions.</li><li>Integrate AI services with banking applications and APIs.</li><li>Fine-tune, evaluate, and optimize LLM performance.</li><li>Ensure compliance with banking security, governance, and regulatory requirements.</li><li>Collaborate with business, data, and technology teams to deliver AI-driven solutions.</li></ul><b><br>
Requirements</b><ul><li><br>
4+ years of software engineering experience.</li><li>Strong Python programming skills.</li><li>Experience with LLMs, Generative AI, and Prompt Engineering.</li><li>Experience with LangChain, LlamaIndex, Vector Databases, and RAG architectures.</li><li>Familiarity with machine learning frameworks and AI deployment practices.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is preferred.</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>Banking or Financial Services experience.</li><li>Experience developing AI copilots or customer-facing AI solutions.</li><li>Knowledge of AI governance and responsible AI practices.</li></ul></div>

AI Software Engineer / LLM Engineer

Welocalize

<div><p><b>About the Role:</b></p><p>
We&rsquo;re searching for talented linguists to join Project Hamal and help us redefine how travelers engage with car rental and driving tips worldwide. This isn&rsquo;t just a translation job &mdash; it&rsquo;s an opportunity to craft AI-powered localization prompts that produce natural, culturally relevant, and engaging content for a major travel platform. You&rsquo;ll play a key role in ensuring travelers get clear, concise, and actionable advice, all while amplifying the convenience of car hire services globally.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li>
Engineer system and user prompts that guide LLMs (large language models) to create fluent, native-sounding content for <b>Arabic (Saudi Arabia)
</b></li><li>Localize car hire tips across six key topics: driving style, parking, tolls and road charges, getting to rental counters, top sights by car, and insurance.</li><li><b>
Arabic (Saudi Arabia) </b>-specific rules to ensure prompts account for grammar, formality, pronoun conventions, transport terminology, and cultural nuances.</li><li>
Produce two localized example outputs based on real source content.</li><li>
Identify and flag edge cases to help the team handle complexities like language expansion, cultural sensitivities, or technical constraints.</li></ul><p><b>
Project Details:</b></p><ul><li><p><b>
Start Date: ASAP</b></p></li><li><p><b>
Duration: up to 5 hours with possible extension</b></p></li><li><p><b>
Job Type: Freelance</b></p></li><li><p><b>
Location: Remote (Saudi Arabia)</b></p></li><li><p><b>
Language: Arabic (Saudi Arabia)</b></p></li><li><p><b>
Pay Rate: $33.40/hour</b></p></li></ul><p></p><p><b><br>
What We&rsquo;re Looking For</b></p><ul><li><b>
Native or near native speaker</b> of the <b>Arabic (Saudi Arabia</b><b>) language</b> with <b>strong English proficiency.</b></li><li>
Proven experience in <b>localization</b> or <b>UX writing</b> &mdash; you know how to work within tight character limits and craft user-friendly content.</li><li>
Confidence in <b>AI content workflows</b> &mdash; you can structure, refine, and evaluate LLM prompts to ensure high-quality outputs.</li><li>
Familiarity with <b>travel and transport terminology</b> in your market &mdash; you understand car hire, tolls, parking systems, and driving regulations.</li></ul><p><b>
Nice to Have</b></p><ul><li>
Experience writing for travel platforms or mobile UX environments.</li><li>
Knowledge of local driving laws, emissions zones, or toll systems.</li><li>
A background in evaluating AI-generated text for fluency and tone.</li></ul><p></p><p>
Thank you for your interest in joining Welo Data&rsquo;s community and contributing to this exciting project. We look forward to collaborating with you!</p></div>

Arabic Prompt Creation Expert

Datamatics Global Services Ltd

<div><b>Position Title : AI/ML Engineer &ndash; Agentic AI</b><br>
<b>Experience Required: </b>4&ndash;6 Years (Should be open to Travel)<br>
<b>Employment Type : </b>Full-Time - Riyadh - Onsite<br>
<br>
<b>Job Overview</b><br>
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques.<br>
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment.<br>
<br>
<b>Key Responsibilities</b><ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize <b>Agentic AI systems</b> using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul><b>
Required Skills &amp; Expertise</b><ul><li>
Strong hands-on experience in <b>Machine Learning, Generative AI, and Agentic AI development</b>.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul><b>
Preferred Qualifications</b><ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul><br>
<p>
</p><p>tTAmIvfFVv</p></div>

AI/ML Engineer – Agentic AI

Evolvice

<div><div>Evolvice is a nearshore technology services provider that helps businesses scale, innovate, and enhance efficiency. Since 2012, we&rsquo;ve been developing software solutions and building high-performing remote teams. Today, we focus on integrating AI into business processes and providing IT and security support to drive digital transformation.</div><div>
Originally based in Germany, we have established development hubs in Egypt, Ukraine, and Portugal and offices in Saudi Arabia. This international presence enables us to deliver high-quality, cost-effective solutions worldwide.
</div><div>Our Services:</div><ul>
<li>
Nearshore Teams &ndash; Build and scale remote teams of any size with expert engineers.</li>
<li>AI-Powered Business Productivity &ndash; Leverage AI-driven software solutions to boost efficiency.</li>
<li>Cybersecurity &ndash; Safeguard your business with advanced security assessments and services.</li>
<li>Managed IT &amp; Application Support &ndash; Ensure seamless operations with proactive IT management and support.</li>
</ul><div>
We&rsquo;re proud to work with industry leaders like Bosch, Douglas, WTS, DHL, Tatweer, and GOSI, and many others. Combining German precision with nearshore agility, we provide secure, scalable, and cost-effective IT solutions tailored to your business needs<b>.</b></div><div>
Now we are looking for a Data Scintist for our client.</div><div></div><div><b><br>
Key Responsibilities:</b></div><br>
<div></div><ul><li>
Develop and implement <b>Machine Learning and AI models</b> for business use cases, including:</li>
<li>Regression models</li>
<li>Classification models</li>
<li>Clustering models</li>
<li>Predictive analytics models</li>
<li>Build and optimize <b>deep learning models</b> to solve complex data problems and improve decision-making.</li>
<li>Develop and integrate <b>LLM-based summarization solutions</b> using <b>HyperGPT</b> to support automated insights and reporting.</li>
<li>Work on <b>HyperForecast integration</b> to support forecasting, trend analysis, and predictive planning.</li>
<li>Deploy machine learning models into <b>production environments</b>, ensuring scalability, reliability, and performance.</li>
<li>Collaborate with data engineers, BI developers, and business stakeholders to transform business requirements into analytical models and AI-driven solutions.</li>
<li>Integrate predictive model outputs into <b>Power BI dashboards</b> to enable advanced reporting and data-driven decision-making.</li>
<li>Monitor model performance, validate outputs, and continuously improve model accuracy and efficiency.</li>
<li>Prepare technical documentation for models, methodologies, assumptions, and deployment processes.</li></ul><div></div><div><b><br>
Required Qualifications:</b></div><br>
<div></div><ul><li>
Minimum <b>4+ years of experience</b> in Data Science, Machine Learning, AI, or related fields.</li>
<li>Strong experience in developing ML models, including:</li>
<li>Regression</li>
<li>Classification</li>
<li>Clustering</li>
<li>Forecasting models</li>
<li>Hands-on experience with <b>deep learning frameworks</b> and AI model development.</li>
<li>Experience working with <b>LLMs</b> and text summarization use cases.</li>
<li>Experience with <b>HyperGPT</b> or similar AI/LLM platforms is preferred.</li>
<li>Experience with forecasting tools or platforms, especially <b>HyperForecast</b>, is preferred.</li>
<li>Strong knowledge of model deployment, productionization, and model lifecycle management.</li>
<li>Good understanding of data preprocessing, feature engineering, model evaluation, and performance optimization.</li>
<li>Experience integrating model outputs with <b>Power BI dashboards</b> or business intelligence tools.</li>
<li>Strong analytical thinking, problem-solving skills, and ability to communicate technical insights to non-technical stakeholders.</li></ul><div></div><div><b><br>
Preferred Technical Skills:</b></div><br>
<div></div><ul><li>
Python</li>
<li>Machine Learning libraries such as Scikit-learn, TensorFlow, PyTorch, or similar</li>
<li>SQL</li>
<li>Data visualization and dashboard integration</li>
<li>Power BI</li>
<li>LLM-based analytics and summarization</li>
<li>Forecasting and predictive modeling</li>
<li>Model deployment and monitoring</li></ul></div><div></div>

Data Scientist

VaporVM

<div><div><div><b>Date Posted:</b></div>
11 June, 2026</div>
<div><div><b>Industry:</b></div>
IT Services and IT Consulting</div>
<div><div><b>Location:</b></div>
VaporVM</div></div>
<br><div><h2 class="jobSectionHeader"><b>Job Description:</b></h2>
<div><h1 class="jobSectionHeader"><b>Senior HPC / Infrastructure Engineer</b></h1>
<p><b>
Location:</b> Riyadh, Saudi Arabia</p>
<p><b>
Employment Type:</b> Full-Time</p>
<p><b>
Experience:</b> 10+ Years (Hands-On)</p>
<h2 class="jobSectionHeader"><b>
Position Overview</b></h2>
<p>
We are seeking a highly experienced <b>Senior HPC / Infrastructure Engineer</b> with proven expertise in designing, deploying, and operating enterprise-scale High-Performance Computing (HPC) and AI infrastructure environments. This role is ideal for a hands-on technical leader who has built and managed production-grade HPC platforms, GPU clusters, Kubernetes ecosystems, and AI infrastructure from the ground up.</p>
<p>
The successful candidate will play a critical role in architecting, optimizing, and maintaining mission-critical compute environments that support advanced AI/ML, data science, and high-performance workloads.</p>
<h2 class="jobSectionHeader"><b>
Required Certifications</b></h2>
<ul><li><b>RHCE &ndash; Red Hat Certified Engineer (Active)</b></li>
<li><b>CKA &ndash; Certified Kubernetes Administrator (Active)</b></li>
</ul><h2 class="jobSectionHeader"><b>Core Technical Expertise</b></h2>
<h3 class="jobSectionHeader"><b>HPC &amp; NVIDIA AI Ecosystem</b></h3>
<ul><li>NVIDIA Base Command Manager (BCM)</li>
<li>NVIDIA AI Enterprise</li>
<li>NVIDIA GPU Operator &amp; Network Operator</li>
<li>NVIDIA NIM Inference Services</li>
<li>NVIDIA AI Blueprints</li>
<li>CUDA, GPU Drivers, and Performance Optimization</li>
</ul><h3 class="jobSectionHeader"><b>Compute &amp; Container Platforms</b></h3>
<ul><li>Kubernetes (Architecture, Operations &amp; Scaling)</li>
<li>Slurm Workload Manager</li>
<li>Distributed Computing Environments</li>
</ul><h3 class="jobSectionHeader"><b>Operating Systems</b></h3>
<ul><li>Red Hat Enterprise Linux (RHEL)</li>
<li>Ubuntu LTS (Canonical)</li>
</ul><h3 class="jobSectionHeader"><b>Automation &amp; DevOps</b></h3>
<ul><li>CI/CD Pipeline Design &amp; Implementation</li>
<li>Infrastructure Automation</li>
<li>Platform Lifecycle Management</li>
<li>Configuration Management &amp; Orchestration</li>
</ul><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li>Design, deploy, and operate large-scale HPC and AI infrastructure environments from bare metal through workload orchestration.</li>
<li>Architect and manage NVIDIA GPU platforms, including BCM, AI Enterprise, GPU Operator, and AI service enablement.</li>
<li>Configure, optimize, and maintain Slurm scheduling environments for high-throughput and GPU-intensive workloads.</li>
<li>Design and operate highly available Kubernetes clusters supporting AI/ML, analytics, and containerized workloads.</li>
<li>Enable and support NVIDIA NIM services and AI Blueprint deployments for enterprise AI initiatives.</li>
<li>Administer and optimize RHEL and Ubuntu environments, ensuring stability, security, and performance.</li>
<li>Develop and maintain infrastructure automation frameworks and CI/CD pipelines for platform and application deployment.</li>
<li>Optimize performance across compute, GPU, storage, networking, and cluster resources.</li>
<li>Implement monitoring, observability, alerting, capacity planning, and operational best practices.</li>
<li>Enforce security, patch management, access controls, and compliance standards across the infrastructure stack.</li>
<li>Lead troubleshooting, root cause analysis, and resolution of complex infrastructure and platform issues.</li>
</ul><h2 class="jobSectionHeader"><b>Candidate Profile</b></h2>
<ul><li>10+ years of hands-on experience in HPC, Linux infrastructure, and enterprise platform engineering.</li>
<li>Proven track record of building and operating production-scale HPC, GPU, or AI infrastructure environments.</li>
<li>Deep expertise in Kubernetes, Slurm, Linux administration, and NVIDIA AI technologies.</li>
<li>Strong understanding of distributed systems, workload scheduling, cluster management, and performance optimization.</li>
<li>Experience supporting AI/ML, data science, and high-performance computing workloads at scale.</li>
<li>Strong analytical, troubleshooting, and problem-solving skills.</li>
<li>Ability to work across infrastructure, platform, automation, and AI enablement domains.</li>
<li>Demonstrated ownership mindset with a history of delivering reliable, scalable, and high-performing solutions.</li></ul></div></div><p></p>

Senior Infrastructure / HPC

JODAYN

<div><p>Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.</p><p>
The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.</p><p>
This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.</p><p>
The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments.</p><b><br>
Requirements</b><p><br>
AI Platform Engineering</p><ul><li>
Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions</li><li>
Build modular and reusable AI services and APIs</li><li>
Develop AI-powered workflow automation systems and intelligent orchestration pipelines</li><li>
Design and implement scalable backend architectures supporting AI workloads</li></ul><p></p><p>
Agentic AI Development</p><ul><li>
Build autonomous and semi-autonomous AI agents</li><li>
Develop multi-agent orchestration workflows and task delegation systems</li><li>
Implement memory management and contextual reasoning capabilities</li><li>
Integrate AI systems with external tools, APIs, and enterprise applications</li></ul><p></p><p>
Large Language Model Integration</p><ul><li>
Integrate and optimise large language model services including Claude, OpenAI, and open-source models</li><li>
Develop prompt orchestration pipelines and retrieval-augmented generation architectures</li><li>
Implement vector database integration and semantic search capabilities</li><li>
Optimise model performance, response quality, and operational efficiency</li></ul><p></p><p>
Enterprise System Integration</p><ul><li>
Integrate AI platforms with enterprise systems, collaboration tools, and document repositories</li><li>
Develop secure API integration patterns</li><li>
Support authentication and identity integration requirements</li><li>
Build AI-enabled enterprise workflow capabilities</li></ul><p></p><p>
Proposal &amp; Compliance Automation</p><ul><li>
Develop intelligent proposal generation and evaluation systems</li><li>
Build compliance validation and document inspection workflows</li><li>
Implement AI-assisted scoring and recommendation engines</li><li>
Support enterprise governance automation initiatives</li></ul><p></p><p>
Infrastructure &amp; Deployment</p><ul><li>
Deploy AI applications in cloud, hybrid, and on-premise environments</li><li>
Configure logging, observability, monitoring, and operational diagnostics</li><li>
Support containerisation and deployment automation practices</li><li>
Optimise infrastructure scalability and operational cost efficiency</li></ul><p></p><p><br>
Required Qualifications</p><p>
Education</p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field</li><li>
Master&rsquo;s degree is preferred but not mandatory</li></ul><p></p><p>
Experience</p><ul><li>
Minimum 7 years of software engineering experience</li><li>
Minimum 3 years practical experience developing AI-powered applications</li><li>
Proven experience building and deploying production-grade AI systems</li><li>
Experience working in enterprise or regulated environments preferred</li></ul><p></p><p>
Required Technical Skills</p><p>
Programming &amp; Backend Development</p><ul><li>
Python</li><li>
FastAPI or equivalent backend frameworks</li><li>
RESTful APIs</li><li>
PostgreSQL or equivalent databases</li><li>
Git and version control systems</li></ul><p>
AI Technologies</p><ul><li>
Claude APIs</li><li>
OpenAI APIs</li><li>
LangGraph</li><li>
LangChain</li><li>
Retrieval-Augmented Generation</li><li>
Vector databases</li><li>
Prompt orchestration</li><li>
AI workflow automation</li></ul><p>
Frontend &amp; Integration</p><ul><li>
React or Next.js</li><li>
API integration</li><li>
Authentication and access control concepts</li></ul><p>
Infrastructure &amp; DevOps</p><ul><li>
Docker</li><li>
Linux environments</li><li>
CI/CD pipelines</li><li>
Cloud deployment concepts</li></ul><p>
Preferred Skills</p><ul><li>
Experience with enterprise AI governance solutions</li><li>
Experience with intelligent document processing systems</li><li>
Experience using AI-assisted development tools</li><li>
Exposure to multi-agent systems and orchestration frameworks</li><li>
Familiarity with enterprise architecture concepts</li></ul><p></p><p><br>
Core Competencies</p><ul><li>
Strong analytical and problem-solving skills</li><li>
Ability to independently deliver complex technical solutions</li><li>
Strong software design capability</li><li>
Fast execution and delivery orientation</li><li>
Excellent communication and documentation skills</li><li>
Ability to work in fast-paced enterprise environments</li></ul></div><p></p>

Senior AI Product Engineer

<div><div><div><b>Date Posted:</b></div>
11 June, 2026</div>
<div><div><b>Industry:</b></div>
IT Services and IT Consulting</div>
<div><div><b>Location:</b></div>
VaporVM</div></div>
<br><div><h2 class="jobSectionHeader"><b>Job Description:</b></h2><br>
<p></p><div><p><b>Location:</b> Riyadh, Saudi Arabia</p>
<p><b>
Employment Type:</b> Full-Time</p>
<p><b>
Experience:</b> 10+ Years (Hands-On)</p>
<p><b>
Language:</b> Arabic &amp; English (Mandatory)</p>
<h2 class="jobSectionHeader"><b>
Position Overview</b></h2>
<p>
We are seeking a highly experienced <b>Senior Storage &amp; Backup Engineer</b> with deep expertise in designing, implementing, and managing enterprise-scale storage, backup, and disaster recovery solutions across multi-vendor environments. The ideal candidate will possess a strong hands-on background in SAN, NAS, object storage, software-defined storage, and data protection technologies, supporting mission-critical workloads, including HPC and AI/ML environments.</p>
<h2 class="jobSectionHeader"><b>
Core Technical Expertise</b></h2>
<h3 class="jobSectionHeader"><b>Enterprise Storage Platforms</b></h3>
<ul><li>Dell EMC ECS (Object Storage)</li>
<li>Dell EMC PowerScale (Isilon)</li>
<li>Dell EMC Data Domain</li>
<li>Pure Storage FlashArray &amp; FlashBlade</li>
<li>DDN SFA, EXAScaler, and A3I</li>
</ul><h3 class="jobSectionHeader"><b>Software-Defined &amp; Distributed Storage</b></h3>
<ul><li>Lustre Parallel File System</li>
<li>Ceph (RBD, CephFS, RGW)</li>
<li>MinIO Object Storage</li>
</ul><h3 class="jobSectionHeader"><b>Backup, DR &amp; Virtualization</b></h3>
<ul><li>VMware vSphere</li>
<li>VMware Site Recovery Manager (SRM)</li>
<li>Veeam Backup &amp; Replication</li>
</ul><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li>Design, deploy, and manage enterprise SAN, NAS, object storage, and software-defined storage platforms.</li>
<li>Administer Dell EMC PowerScale environments, including OneFS, SmartPools, SmartQuotas, SyncIQ, and multi-protocol access services.</li>
<li>Implement and support scalable object storage solutions using Dell EMC ECS and MinIO.</li>
<li>Configure and optimize Dell EMC Data Domain environments, including deduplication, replication, and DDBoost integration.</li>
<li>Manage and optimize Pure Storage FlashArray and FlashBlade platforms for high-performance workloads.</li>
<li>Design and support DDN storage solutions for HPC, AI, and data-intensive environments.</li>
<li>Deploy and maintain Lustre and Ceph clusters, ensuring high availability, scalability, and operational efficiency.</li>
<li>Integrate storage solutions with VMware vSphere and SRM, supporting replication, snapshots, and disaster recovery requirements.</li>
<li>Monitor storage performance, capacity utilization, throughput, latency, and system health.</li>
<li>Develop and implement backup, replication, business continuity, and disaster recovery strategies.</li>
<li>Automate operational tasks and optimize storage management processes through scripting and orchestration tools.</li>
<li>Lead troubleshooting, root cause analysis, and resolution of complex storage and data protection issues.</li>
</ul><h2 class="jobSectionHeader"><b>Candidate Profile</b></h2>
<ul><li>10+ years of hands-on experience in enterprise storage, backup, and disaster recovery environments.</li>
<li>Proven expertise across multiple storage vendors and technologies.</li>
<li>Strong knowledge of traditional, software-defined, and distributed storage architectures.</li>
<li>Experience supporting large-scale, high-performance workloads, including HPC, AI, and analytics platforms.</li>
<li>Deep understanding of data protection, replication, business continuity, and disaster recovery frameworks.</li>
<li>Strong troubleshooting, analytical, and performance optimization skills.</li>
<li>Excellent communication and stakeholder management capabilities in Arabic and English.</li></ul></div></div><p></p>

Senior Storage & Backup

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