<section>Job DescriptionRoles & Responsibilities<div class="paragraph">The purpose of this position is to plan and support the technology infrastructure needs for the Saudi Arabia Team. This support includes manufacturing systems support (hardware and software), laptops, desktops, servers, networks, security, voice, printers, desktop and business software. Principal Duties and Responsibilities: The primary duties consist of the following: Planning of hardware, software assets for a given budget cycle. Budget requests will be reviewed by USA IT. Support the Musco team regarding daily IT needs for all departments. Implement IT standards from USA regarding implementation of new hardware or software. Ensure that Musco data stays protected and that can be recovered in the event of a disaster. Maintain computer equipment used by Team Members and Production to meet required uptime. Adhere to established IT Security requirements and Incident Response procedures.</div></section><section>Desired Candidate ProfileKnowledge of the following Office 365 Applications Citrix XenApp Windows Desktop Operating System Windows Server 2019, 2022, 2025 AutoCAD Sonicwall Firewall technologies 8x8 Cloud Phone System Network technologies like Wifi, Ethernet, Cat 6, Single mode fiber, TCP/IP Network hardware configuration and support Printer supportOther Special Requirements: On occasion may need to support the Musco Gulf Team (i.e. Abu Dhabi, Qatar) which may require travel. Ability to speak fluent English in addition to local Arabic language.</section>

0 to 0 years Naukri Gulf

Linux, Kubernetes & Veeam Infrastructure Engineer Datamatics Technologies

On-site - Saudi - Riyadh 24 June 2026

Information Technology

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Linux, Kubernetes & Veeam Infrastructure Engineer Location: Riyadh, Saudi Arabia Employment Type: Full-Time / Contract Experience Required: 3 5 Years Domain: Infrastructure Operations / Platform Engineering / Cybersecurity Note : Must be Saudi National Job Summary We are seeking a highly motivated and technically skilled Linux, Kubernetes & Veeam Infrastructure Engineer to support the administration, security, monitoring, and operational management of enterprise Linux systems, Kubernetes container platforms, and Veeam Backup & Recovery environments. The successful candidate will be responsible for maintaining platform stability, security compliance, backup integrity, disaster recovery readiness, and operational excellence across critical infrastructure environments. This role requires strong expertise in Linux administration, container orchestration, backup and recovery technologies, security hardening, and operational support. Key Responsibilities Linux Systems Administration & Security Administer, maintain, and support Linux-based servers and enterprise services. Perform Linux security hardening in accordance with organizational and industry security standards. Monitor system performance, availability, resource utilization, and service health. Review system logs, user activities, and security events to identify risks and operational issues. Manage operating system patching, upgrades, and vulnerability remediation activities. Conduct configuration compliance assessments and implement corrective actions. Troubleshoot operating system, application, and infrastructure-related issues. Support capacity planning, performance tuning, and operational optimization initiatives. Kubernetes & Container Platform Administration Administer and support Kubernetes clusters and containerized workloads in production environments. Monitor cluster health, node performance, container activities, and orchestration events. Implement and maintain Kubernetes security best practices and governance standards. Validate container image security and perform vulnerability assessments. Configure and monitor container runtime security controls. Manage role-based access control (RBAC), namespaces, policies, and cluster configurations. Support deployment automation and integration with CI/CD pipelines. Integrate Kubernetes platforms with centralized logging, monitoring, SIEM, and cloud security solutions. Perform compliance assessments and remediation activities for containerized environments. Veeam Backup & Recovery Administration Administer and maintain Veeam Backup & Replication infrastructure. Configure, schedule, and monitor backup, replication, and recovery jobs. Perform backup health checks and proactively resolve backup failures. Monitor storage capacity, backup performance, and infrastructure utilization. Conduct regular restore testing to validate backup integrity and recovery readiness. Ensure compliance with backup retention, recovery objectives (RPO/RTO), and organizational policies. Support disaster recovery planning, testing, and documentation. Continuously improve backup and recovery processes and operational procedures. Security & Compliance Support vulnerability management and remediation activities across Linux and Kubernetes environments. Monitor and respond to infrastructure security alerts and incidents. Ensure compliance with security baselines, hardening standards, and operational controls. Assist with audit activities, compliance reporting, and security assessments. Maintain technical documentation, operational procedures, and infrastructure diagrams. Required Technical Skills Linux Administration Red Hat Enterprise Linux (RHEL) Oracle Linux Ubuntu Linux Linux Security Hardening Shell Scripting (Bash) User & Access Management System Performance Monitoring Patch Management Log Analysis & Troubleshooting Kubernetes & Containers Kubernetes Administration Container Security Docker RBAC Management Container Image Security Cluster Monitoring & Troubleshooting Helm Kubernetes Networking Namespace & Policy Management Backup & Recovery Veeam Backup & Replication Backup Administration Replication & Recovery Operations Restore Testing Disaster Recovery Planning Backup Monitoring & Optimization Security & Monitoring Vulnerability Management Configuration Compliance Security Hardening SIEM Integration Centralized Logging Security Monitoring & Incident Response DevOps & Automation (Preferred) CI/CD Pipelines Git Jenkins GitLab CI/CD Ansible Terraform Python (Basic to Intermediate) Qualifications Bachelor s Degree in Computer Science, Information Technology, Engineering, Cybersecurity, or a related field. Relevant certifications are highly desirable. Experience Requirements 3 5 years of hands-on experience in Linux Systems Administration. Experience managing Kubernetes and containerized environments in production. Hands-on experience with Veeam Backup & Replication administration. Experience supporting enterprise infrastructure operations and security compliance initiatives. Experience with vulnerability remediation and operational monitoring. Preferred Certifications Linux RHCSA (Red Hat Certified System Administrator) RHCE (Red Hat Certified Engineer) Linux Professional Institute Certification (LPIC) Kubernetes Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKS) Certified Kubernetes Application Developer (CKAD) Backup & Recovery Veeam Certified Engineer (VMCE) Security Security+ CISSP (Preferred) Certified Cloud Security Professional (CCSP) Soft Skills Strong analytical and troubleshooting abilities. Excellent problem-solving skills. Good communication and technical documentation capabilities. Ability to work independently and within cross-functional teams. Strong attention to detail and operational discipline. Ability to manage multiple priorities in a dynamic environment. Must-Have Requirements 3 5 years of Linux Administration experience. Hands-on Kubernetes administration and container security experience. Experience with Veeam Backup & Replication. Linux security hardening and patch management. Backup monitoring, restore testing, and disaster recovery support. Vulnerability remediation and compliance validation experience. Experience supporting production infrastructure environments. Share</div></section><section>Desired Candidate ProfileRequired Technical Skills Linux Administration Red Hat Enterprise Linux (RHEL) Oracle Linux Ubuntu Linux Linux Security Hardening Shell Scripting (Bash) User & Access Management System Performance Monitoring Patch Management Log Analysis & Troubleshooting Kubernetes & Containers Kubernetes Administration Container Security Docker RBAC Management Container Image Security Cluster Monitoring & Troubleshooting Helm Kubernetes Networking Namespace & Policy Management Backup & Recovery Veeam Backup & Replication Backup Administration Replication & Recovery Operations Restore Testing Disaster Recovery Planning Backup Monitoring & Optimization Security & Monitoring Vulnerability Management Configuration Compliance Security Hardening SIEM Integration Centralized Logging Security Monitoring & Incident Response DevOps & Automation (Preferred) CI/CD Pipelines Git Jenkins GitLab CI/CD Ansible Terraform Python (Basic to Intermediate) Qualifications Bachelor s Degree in Computer Science, Information Technology, Engineering, Cybersecurity, or a related field. Relevant certifications are highly desirable. Experience Requirements 3 5 years of hands-on experience in Linux Systems Administration. Experience managing Kubernetes and containerized environments in production. Hands-on experience with Veeam Backup & Replication administration. Experience supporting enterprise infrastructure operations and security compliance initiatives. Experience with vulnerability remediation and operational monitoring. Preferred Certifications Linux RHCSA (Red Hat Certified System Administrator) RHCE (Red Hat Certified Engineer) Linux Professional Institute Certification (LPIC) Kubernetes Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKS) Certified Kubernetes Application Developer (CKAD) Backup & Recovery Veeam Certified Engineer (VMCE) Security Security+ CISSP (Preferred) Certified Cloud Security Professional (CCSP) Soft Skills Strong analytical and troubleshooting abilities. Excellent problem-solving skills. Good communication and technical documentation capabilities. Ability to work independently and within cross-functional teams. Strong attention to detail and operational discipline. Ability to manage multiple priorities in a dynamic environment. Must-Have Requirements 3 5 years of Linux Administration experience. Hands-on Kubernetes administration and container security experience. Experience with Veeam Backup & Replication. Linux security hardening and patch management. Backup monitoring, restore testing, and disaster recovery support. Vulnerability remediation and compliance validation experience. Experience supporting production infrastructure environments.</section>

0 to 0 years Naukri Gulf

Senior AI Engineer (Arabic Speaker) Datamatics Technologies

On-site - Saudi - Riyadh 24 June 2026

Engineering

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">About the Role We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact. Key Responsibilities AI & Machine Learning Development Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases. Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions. Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies. Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. Evaluate and benchmark AI models to ensure performance, scalability, and reliability. Generative AI Engineering Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms. Develop conversational AI solutions, intelligent assistants, and knowledge management systems. Build prompt engineering frameworks and optimize prompts for business use cases. Implement vector databases and semantic search solutions. Develop AI agents and autonomous workflows using modern AI orchestration frameworks. MLOps & AI Operations Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Automate model deployment using CI/CD pipelines and infrastructure-as-code practices. Monitor model performance, drift detection, retraining strategies, and operational KPIs. Establish AI governance, model versioning, reproducibility, and compliance standards. Implement scalable AI platforms supporting multiple business units. Cloud & Platform Engineering Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI. Manage containerized AI environments using Docker and Kubernetes. Design scalable AI infrastructure supporting high-volume enterprise workloads. Optimize cloud resources, performance, and operational costs. Data Engineering & Integration Collaborate with data engineering teams to build AI-ready data pipelines. Integrate AI solutions with enterprise applications, APIs, databases, and business platforms. Ensure data quality, security, privacy, and compliance with organizational standards. Stakeholder Management Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions. Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences. Mentor junior AI engineers, data scientists, and platform engineers. Required Technical Skills Artificial Intelligence & Machine Learning Machine Learning Deep Learning Natural Language Processing (NLP) Predictive Analytics Computer Vision (preferred) Reinforcement Learning (preferred) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Agents & Multi-Agent Systems Fine-Tuning and Model Optimization Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen MLOps MLflow Kubeflow Airflow Model Monitoring & Observability CI/CD for ML Feature Stores Model Registry Experiment Tracking Model Governance Cloud Platforms Microsoft Azure AWS Google Cloud Platform (GCP) Oracle Cloud Infrastructure (OCI) Preferred Containers & DevOps Docker Kubernetes Git GitHub Actions Jenkins Terraform Infrastructure as Code Programming Languages Python (Mandatory) SQL Bash/Shell Scripting Java or C# (Preferred) Qualifications Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred. Experience Requirements 6 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering. Minimum 3+ years of hands-on experience implementing Generative AI solutions. Proven experience building and operationalizing machine learning models in production environments. Strong experience implementing enterprise MLOps frameworks and practices. Experience working with cloud-native AI services and modern AI platforms. Preferred Certifications Microsoft Azure AI Engineer Associate AWS Machine Learning Specialty Google Professional Machine Learning Engineer OCI AI Foundations Associate Kubernetes Certifications (CKA/CKAD) Databricks Machine Learning Professional Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work effectively in cross-functional and multicultural environments. Strong ownership, accountability, and leadership mindset. Passion for innovation and continuous learning. Ability to communicate fluently in both Arabic and English. Mandatory Requirements Native or Fluent Arabic Speaker. 6 8 years of relevant AI/ML engineering experience. Hands-on expertise in Generative AI and MLOps. Strong Python programming skills. Experience deploying AI solutions in enterprise production environments. Willingness to work onsite in Riyadh, Saudi Arabia.</div></section><section>Desired Candidate ProfileBachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.6 - 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.Minimum 3+ years of hands-on experience implementing Generative AI solutions.Proven experience building and operationalizing machine learning models in production environments.Strong experience implementing enterprise MLOps frameworks and practices.Experience working with cloud-native AI services and modern AI platforms.Native or Fluent Arabic Speaker.Strong Python programming skills.Experience deploying AI solutions in enterprise production environments.Willingness to work onsite in Riyadh, Saudi Arabia.Strong analytical and problem-solving skills.Excellent communication and stakeholder management abilities.Ability to work effectively in cross-functional and multicultural environments.Strong ownership, accountability, and leadership mindset.Passion for innovation and continuous learning.Ability to communicate fluently in both Arabic and English.</section>

Full Time 0 to 0 years LinkedIn

Customer Success & Technical Support

On-site - Saudi - Jeddah 25 June 2026

Information Technology

Mandatory Qualifications:- 3–5 years of experience in IT-related roles, with a background in enterprise software, cloud computing, Saa S platforms, or related technology services.- Hands-on experience as a Technical Account Manager (TAM), Solution Architect (SA), Technical Support Engineer, Customer Success Manager (CSM), or similar customer-facing technical role.- Strong ability to understand customer requirements, provide technical guidance, and ensure successful adoption and delivery of technology solutions.- Solid technical foundation with practical knowledge of Linux/Windows operating systems, networking fundamentals (TCP/IP, HTTP, DNS), and common troubleshooting methodologies.- Basic understanding of cloud computing concepts, including Iaa S, Paa S, Saa S, and cloud-based service architectures.- Strong analytical thinking and problem-solving skills, with the ability to diagnose complex technical issues, coordinate resources, and drive issues through resolution.- Able to remain calm under pressure and manage critical customer incidents effectively.- Excellent verbal and written communication skills, with the ability to clearly explain technical concepts to customers and internal teams with different technical backgrounds.- Customer-oriented mindset with strong ownership, empathy, and commitment to delivering high-quality service experiences.- Strong collaboration skills with the ability to work closely with engineering, product, sales, and operations teams. Desired Qualifications:- Previous experience as a TAM, Solution Architect, or Technical Support Engineer at a major cloud service provider is highly preferred.- Experience in overseas customer support or technical service delivery, especially in the Middle East region.- Relevant certifications such as PMP, ITIL, AWS, Azure, Google Cloud, Alibaba Cloud, or other cloud technology certifications are a plus.- Basic Arabic communication skills with the ability to handle daily conversations are preferred. Location：Riyadh, Saudi Arabia.

Full Time 0 to 0 years LinkedIn

IT Staff

On-site - Saudi - Jeddah 21 June 2026

Sales

Saudi Arabia ( SAUDI ARABIA ) 17/06/2026 12:07 PM It Staff Job Code: JB00111516 Easy application process, usually takes less than 1 minutes. This opportunity is exclusively open to India candidates. New Posted on - 17/06/2026 12:07 PM Job Requirement Position It Staff Industry Engineering / Projects Qualification BE / B. Tech Qualification Specialization Computers, IT Job Location Saudi Arabia ( SAUDI ARABIA ) Experience 5 - 8 yrs Yearly Salary Negotiable in SAR key skills Microsoft Office Troubleshooting Networking Cybersecurity, Windows, Active Directory, Cloud Computing, Linux, Help Desk, Data Backup, Software Installation, Configuration Management, Hardware Maintenance, Technical Support Job Description Job Title It Staff Description SAUDI ARABIA – REQUIRED FOR REPUTED KOREAN COMPANY IT STAFF - 10 NOS Previous experience working with a Korean company. Bachelor's degree in computer engineering (or IT) Preferable of IT Experience in Saudi Arabia Asset management IT / Network administration Software coordination System management of construction site. Attractive salary, free food, accommodation, transportation provided by company. ONLINE / VIRTUAL INTERVIEW SHORTLY REPPOST Interview Details Not Available Company Profile : ASMACS ASMACS’ global network and the infrastructure facilities spread across the Indian Sub-continent and Arabian Gulf Region play a dominant role in the growth of ASMACS Group business. Company Address 411, Sai Chamber, 4th Floor, Opp. Railway Station, Santacruz (E), Mumbai - 400 055, India Tel.:+91 22 26125301 / 26125191 26185509/26150933 / 26180997 Fax: +91 22 26147103 / 26146937 Email: asmacs@asmacs.net Skills: Microsoft Office Troubleshooting Networking Cybersecurity, Windows, Active Directory, Cloud Computing, Linux, Help Desk, Data Backup, Software Installation, Configuration Management, Hardware Maintenance, Technical Support

0 to 0 years Naukri Gulf

Computer Programmer

On-site - Saudi - Saudi Arabia 13 July 2026

Information Technology

<section>Job DescriptionRoles & Responsibilities<div class="paragraph"> Responsibilities Design and modify existing programs and data structures; provide for proper maintenance of assigned programs; perform analysis and modification of existing programs and operations to meet changing needs and to provide for system enhancements. Design, program, code and analyze new computer programs and data structures in accordance with specifications and user needs, including screen formats and job control language procedures in accordance with programming standards. Assist other programmers with complex programming projects and needs; serve as Project Leader as assigned. Maintain file structures used in programs; maintain flow charts or narrative description of program flow, purpose and operation. Examine output data from program operations to verify and assure accuracy and completeness of data; test and de-bug programs to assure reliability of program operations. Maintain contact with users to analyze system performance and efficiency; provide training support and consult with users to discuss desired output and user expectation. Maintain current knowledge of developments, issues and advancements in data processing equipment and software. Write and maintain program and system operations documentation for users and operators; assure documentation contains steps to initiate programs and routines to remedy interruptions in program runs. Consult with information systems staff regarding system design, problems and developments and other related matters; assist other staff with system design phase of new applications. Job Requirements: <ul> <li> Bachelor s degree in computer science or information technology. </li> <li> One to three years of experience in software development. </li> <li> Knowledge of programming languages such as Python, Java, C++. </li> <li> Experience with HTML, PHP, JavaScript. </li> <li> Experience using Visual Studio. </li> <li> Certification in Microsoft or Oracle is advantageous. </li> <li> Up to date on the latest software innovations and committed to continually building on existing knowledge and skills. </li> <li> Strong attention to detail and ability to spot tiny errors or inconsistencies in code. </li> <li> A desire to innovate and create cutting edge programs. </li> <li> Understanding of object-oriented software engineering. </li> <li> Track record of successful application development. </li> <li> Ability to write clean, well-documented code. </li> <li> Working knowledge of SQL and Microsoft SQL Server. </li> <li> Solid troubleshooting skills. </li> <li> Experience using Microsoft Office tools (Excel, Visio). </li> <li> Demonstrated analytical and critical thinking abilities. </li> <li> Excellent complex problem solving and critical thinking skills. </li> <li> Excellent communication skills and ability to work with a team. </li> <li> Exemplify superior time management skills and capable of working productively with minimal supervision. </li> <li> Ability to follow directions closely and accurately </li> </ul> </div></section>

Full Time 0 to 0 years LinkedIn

Senior Technical Support Engineer

On-site - Saudi - Jeddah 30 June 2026

Information Technology

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain. We are currently looking to hire an UC Senior Technical Support Engineer Location: Riyadh, Saudi Arabia Job Summary:We are seeking a skilled unified communication Engineer (Avaya , Cisco ) to join our team. The ideal candidate should have proven experience implementing, and supporting AVAYA Aura solutions , Cisco unified communications , Session boarder controllers and contact center is a plus, with a strong background in telecommunications and related technologies. This role involves working closely with clients to solve complex technical issues ,applying change requests ,implementation and support phases of projects. Must Haves:5+ years experience working with unified communication , call center systems . Strong knowledge of VoIP protocols such as SIP, H.323, DHCP, DNS, LAN, and WAN technologies. Technical Certifications from Avaya , Cisco , Genesys .,etc. Experience with virtualization platforms and cloud environments is a plus. Excellent problem-solving skills and ability to communicate technical concepts effectively. WHAT’S ON OFFERYou will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression. To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to Saranya@aven-sys.com Your interest will be treated with strict confidentiality. CONSULTANT DETAILSConsultant Name: Saranya Avensys Consulting Pte Ltd EA Licence 12C5759 Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' personal information and privacy policy.

0 to 0 years Naukri Gulf

Senior AI Engineer (Arabic Speaker) Datamatics Technologies

On-site - Saudi - Riyadh 24 June 2026

Information Technology

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact.Key ResponsibilitiesAI & Machine Learning Development<ul><li>Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases.</li><li>Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions.</li><li>Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.</li><li>Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.</li><li>Evaluate and benchmark AI models to ensure performance, scalability, and reliability.</li></ul>Generative AI Engineering<ul><li>Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms.</li><li>Develop conversational AI solutions, intelligent assistants, and knowledge management systems.</li><li>Build prompt engineering frameworks and optimize prompts for business use cases.</li><li>Implement vector databases and semantic search solutions.</li><li>Develop AI agents and autonomous workflows using modern AI orchestration frameworks.</li></ul>MLOps & AI Operations<ul><li>Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.</li><li>Automate model deployment using CI/CD pipelines and infrastructure-as-code practices.</li><li>Monitor model performance, drift detection, retraining strategies, and operational KPIs.</li><li>Establish AI governance, model versioning, reproducibility, and compliance standards.</li><li>Implement scalable AI platforms supporting multiple business units.</li></ul>Cloud & Platform Engineering<ul><li>Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI.</li><li>Manage containerized AI environments using Docker and Kubernetes.</li><li>Design scalable AI infrastructure supporting high-volume enterprise workloads.</li><li>Optimize cloud resources, performance, and operational costs.</li></ul>Data Engineering & Integration<ul><li>Collaborate with data engineering teams to build AI-ready data pipelines.</li><li>Integrate AI solutions with enterprise applications, APIs, databases, and business platforms.</li><li>Ensure data quality, security, privacy, and compliance with organizational standards.</li></ul>Stakeholder Management<ul><li>Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions.</li><li>Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences.</li><li>Mentor junior AI engineers, data scientists, and platform engineers.</li></ul>Required Technical SkillsArtificial Intelligence & Machine Learning<ul><li>Machine Learning</li><li>Deep Learning</li><li>Natural Language Processing (NLP)</li><li>Predictive Analytics</li><li>Computer Vision (preferred)</li><li>Reinforcement Learning (preferred)</li><li>Generative AI</li><li>Large Language Models (LLMs)</li><li>Retrieval-Augmented Generation (RAG)</li><li>Prompt Engineering</li><li>AI Agents & Multi-Agent Systems</li><li>Fine-Tuning and Model Optimization</li><li>Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li><li>LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen</li></ul>MLOps<ul><li>MLflow</li><li>Kubeflow</li><li>Airflow</li><li>Model Monitoring & Observability</li><li>CI/CD for ML</li><li>Feature Stores</li><li>Model Registry</li><li>Experiment Tracking</li><li>Model Governance</li></ul>Cloud Platforms<ul><li>Microsoft Azure</li><li>AWS</li><li>Google Cloud Platform (GCP)</li><li>Oracle Cloud Infrastructure (OCI)</li></ul>PreferredContainers & DevOps<ul><li>Docker</li><li>Kubernetes</li><li>Git</li><li>GitHub Actions</li><li>Jenkins</li><li>Terraform</li><li>Infrastructure as Code</li></ul>Programming Languages<ul><li>Python (Mandatory)</li><li>SQL</li><li>Bash/Shell Scripting</li><li>Java or C# (Preferred)</li></ul>QualificationsBachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.Experience Requirements<ul><li>6 – 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>Proven experience building and operationalizing machine learning models in production environments.</li><li>Strong experience implementing enterprise MLOps frameworks and practices.</li><li>Experience working with cloud-native AI services and modern AI platforms.</li></ul>Preferred Certifications<ul><li>Microsoft Azure AI Engineer Associate</li><li>AWS Machine Learning Specialty</li><li>Google Professional Machine Learning Engineer</li><li>OCI AI Foundations Associate</li><li>Kubernetes Certifications (CKA/CKAD)</li><li>Databricks Machine Learning Professional</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to work effectively in cross-functional and multicultural environments.</li><li>Strong ownership, accountability, and leadership mindset.</li><li>Passion for innovation and continuous learning.</li><li>Ability to communicate fluently in both Arabic and English.</li></ul>Mandatory Requirements<ul><li>Native or Fluent Arabic Speaker.</li><li>6 – 8 years of relevant AI/ML engineering experience.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul></div></section><section>Desired Candidate Profile<ul><li>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</li><li>Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</li><li>6 – 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>Proven experience building and operationalizing machine learning models in production environments.</li><li>Strong experience implementing enterprise MLOps frameworks and practices.</li><li>Experience working with cloud-native AI services and modern AI platforms.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to work effectively in cross-functional and multicultural environments.</li><li>Strong ownership, accountability, and leadership mindset.</li><li>Passion for innovation and continuous learning.</li><li>Ability to communicate fluently in both Arabic and English.</li><li>Native or Fluent Arabic Speaker.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul></section>

Full Time 0 to 0 years LinkedIn

Integration Manager & Technical Support Specialist

Remote - Saudi - Jeddah 21 July 2026

Information Technology

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Integration Manager & Technical Support Specialist based in Saudi Arabia. This remote role focuses on ensuring successful technical integrations and reliable production launches for global partners. The position combines integration management, technical troubleshooting, and operational support within a fast-moving fintech environment. You will play a key role in configuring partner setups, validating technical requirements, and resolving complex transaction issues. Working closely with merchants and internal teams, you will help maintain platform reliability and deliver seamless experiences. The ideal candidate is detail-oriented, technically curious, and comfortable investigating issues through logs, APIs, and monitoring tools. This opportunity offers strong ownership, exposure to international projects, and the chance to grow within a technology-driven organization. Accountabilities The Integration Manager & Technical Support Specialist is responsible for managing technical onboarding, production readiness, and ongoing support activities. The role requires strong troubleshooting capabilities, attention to detail, and the ability to collaborate with both technical and business stakeholders. Configure and activate partner integrations in production environments, ensuring all technical requirements are validated before launch. Manage API keys, payment method configurations, and integration settings to support successful go-live processes. Perform technical verification of merchant setups and identify potential issues before production deployment. Investigate transaction failures by analyzing logs, monitoring tools, and system behavior to determine root causes. Troubleshoot API-related issues involving REST APIs, JSON structures, and client-server communication. Use technical tools such as Postman to validate requests and support integration testing. Prepare clear incident reports, document technical findings, and communicate solutions to internal and external stakeholders. Provide L2/L3 technical support and guide partners through complex operational challenges. Perform root cause analysis and develop remediation plans to improve reliability and reduce recurring issues. Collaborate with cross-functional teams to improve workflows, documentation, and technical processes. Requirements The ideal candidate combines technical support expertise, integration knowledge, and strong communication skills. They should be comfortable working independently, managing priorities, and solving complex technical problems in a dynamic environment. 1+ years of experience in L2/L3 technical support, senior support roles, support management, or similar technical operations positions. Experience working in fintech, payments, cryptocurrency, or related technology environments is highly valued. Hands-on experience analyzing logs and using monitoring tools to troubleshoot production issues. Strong understanding of client-server architecture, REST APIs, and JSON data structures. Experience using Postman or similar tools for API testing and validation. Strong analytical and problem-solving skills with the ability to perform structured root cause analysis. High attention to detail when managing technical configurations and operational processes. Ability to quickly learn new technologies, documentation, and workflows. Excellent written and verbal English communication skills (B2/C1 level or higher). Ability to communicate technical concepts clearly to both technical and non-technical stakeholders. Ukrainian or Russian language skills are an advantage, particularly for technical documentation and incident reporting. A proactive, accountable mindset with the ability to remain calm and effective under pressure. Benefits Fully remote work environment with flexibility and autonomy. Opportunity to join an agile, international technology team. Competitive salary based on experience and individual contribution. Career growth opportunities toward senior engineering, SRE, or product-focused roles. Meaningful ownership in ensuring platform reliability and successful partner experiences. Collaborative culture focused on transparency, innovation, and measurable impact. Continuous learning opportunities in fintech, payments, and emerging technologies. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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