Network Engineer Jobs in Saudi

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Title <br>Pre-Sales Engineer<br><br>Job Scope <br></span><p>The Pre-Sales Engineer is accountable for advising and coordinating with the Sales team on all technical issues related but not limited to account penetration strategies, pre-sales implementations, solution design and training. S/He is a technical expert building strong relationships with partners and customers and driving the business through multiple technical initiatives.</p><br> <br><br>Main Duties and Responsibilities <br><ul> <li>Act as a subject matter expert in technical/solutions design of the company&nbsp;products/services</li> <li>Work with the Sales team to develop and implement specific account penetration strategies and achieve set targets</li> <li>Create specific accounts for product(s), service(s) and sales plans pertaining to the company products/services</li> <li>Collaborate with the Sales team in qualifying opportunities, supporting and advising on the technical aspect of the sales lifecycle including technical qualification, presentation of solution proposals and high-level designs and demonstrations</li> <li>Run, manage and drive proof of concepts (POC) and request for proposals (RFP) and close opportunities from a pre-sales and implementation perspective</li> <li>Build sound relationships with partners and customers in support of sales objectives;</li> <li>Lead technical sales calls</li> <li>Manage adoption, integration and value generation of offered products/services within the customer/partner business and related IT infrastructure</li> <li>Complete required pre-sales documentations in a quick and accurate manner</li> <li>Develop content, train and support partners and customers</li> <li>Respond to after-hours support queries during assigned rotations and escalate issues if needed</li> <li>Put available systems into practice (salesforce.com CRM for leads, opportunity and deal registration management) for output efficiency and standardization.</li> </ul> <br><br>Position Requirements <br><br>Education <br><p>Bachelor’s degree in Computer Engineering, Computer Science or any other related field.</p><br> <br><br>Experience <br><p>At least 3 years of relevant experience.</p><br><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Role Overview </b>We are seeking a highly experienced Solution Architect to lead the design and implementation of digital transformation projects for major utility providers. The ideal candidate will have a deep technical background in Oracle Utilities Customer Cloud Service (CCS) and Digital Customer Self Service (DCS/DCX) , with a proven track record of managing large-scale migrations and customer experience enhancements.</p><p>Key Responsibilities</p><ul><li>Architectural Leadership: Design and implement Oracle DCX integrated with CCS for large-scale utility providers (10M+ customers).</li><li>Digital Strategy: Lead digital customer journey strategies, including onboarding, billing, payments, service requests, and outage management.</li><li>System Integration: Integrate Oracle DCX with external systems via Oracle Integration Cloud (OIC) and secure APIs using OAuth2 and IDCS.</li><li>Team Management: Direct cross-functional teams across DCX, CCS, and OIC workstreams while ensuring compliance with global data protection standards.</li><li>Technical Design: Develop complex technical designs for CC&amp;B upgrades, including Maintenance Objects (MO), Change Handlers, and Business Services.</li><li>Quality Assurance: Lead Proof of Concept (POC) developments to validate solutions, reduce technical risk, and oversee the creation of TDDs and UTRs.</li></ul><p>Required Technical Skills</p><ul><li>Core Platforms: Expert-level knowledge of Oracle Utilities Customer Cloud Service (CCS), CC&amp;B (v2.5 to v2.7+), and MDM.</li><li>Development Tools: Proficient in OUAF, Java, Groovy Scripting, XAI, and Web Services (REST/SOAP).</li><li>Configuration: Hands-on experience with BPA Scripts, Plugin Scripts, Service Scripts, UI Maps, Zones, and Business Objects.</li><li>Cloud &amp; DevOps: Experience with OCI/AWS architecture, CI/CD pipelines, and WebLogic/WebCenter portal installation.</li><li>Methodologies: Strong background in Agile, Scrum, and SAFe frameworks.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum 10 years in Oracle Utilities solution design and implementation.</li><li>Certifications: Oracle Cloud Database Migration and Integration Professional or OCI Foundation Associate preferred.</li><li>Proven ability to lead junior developers and present complex technical demonstrations to clients and stakeholders.</li></ul><p></p></section>

Company Description Trust (TIS) is a Saudi company specializing in integrated solutions across technology, communications infrastructure, and cybersecurity, supporting the Kingdom’s digital transformation. Founded on the principles of trust, quality, and national innovation, TIS plays a key role in building secure and resilient digital infrastructure. The company aligns its solutions with Saudi Vision 2030, contributing to the growth of a modern, knowledge-based economy. Professionals joining TIS can expect to work on impactful projects that shape the digital future of the Kingdom. TIS values expertise, integrity, and collaboration in a dynamic and evolving market. Role Description This is a full-time, on-site role based in Riyadh, Saudi Arabia for a Sales Engineer – Fiber Optic & Data Center Solutions. The Sales Engineer will work closely with clients to understand technical requirements, design fiber optic and data center solutions, and present proposals that meet performance and budget needs. Day-to-day responsibilities include conducting product demonstrations, preparing technical and commercial offers, supporting the sales team with solution design, and responding to technical inquiries. The role also involves coordinating with engineering and operations teams to ensure accurate implementation, providing pre- and post-sales technical support, and maintaining strong, long-term customer relationships. The Sales Engineer will stay current with industry standards, emerging technologies, and market trends to help drive business growth. https://tis-ksa.com/ Qualifications Strong Sales Engineering skills, including solution design and technical presentations for fiber optic and data center environments. Experience in Technical Support, including troubleshooting, configuration guidance, and pre- and post-sales technical assistance. Demonstrated Sales capabilities, including opportunity identification, proposal development, and support in deal closure. Excellent Communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Customer Service mindset, focusing on responsiveness, relationship building, and long-term client satisfaction. Solid knowledge of fiber optic networks, structured cabling, data center infrastructure, and related standards. Bachelor’s degree in Engineering, Telecommunications, IT, or a related field, or equivalent practical experience. Proficiency in English; Arabic language skills are an advantage. Ability to work on-site in Riyadh, manage multiple projects, and collaborate effectively with cross-functional teams. Relevant industry certifications (e.g., data center, networking, or fiber optics) are a plus.

Egis is a leading global organisation in architecture, consulting, construction engineering, operations and mobility services. We partner with clients to design, deliver and operate smarter infrastructure and places that respond to the world’s evolving needs.<br><br>With more than 22,000 employees worldwide, we combine global capability with strong local insight. Our multidisciplinary expertise enables us to deliver innovative, practical and sustainable solutions that help build more balanced, resilient communities.<br><br>At Egis, you’ll be part of a business shaping the future of cities, transport, energy and the built environment, creating lasting impact where it matters most.<br><br><br><br>Job Description<br><br>The Airport Systems Engineer ICT / ELV shall be responsible for the planning, design review, engineering coordination, supervision, testing, commissioning, and handover of ICT, ELV, Security, and Special Airport Systems for airport infrastructure and aviation-related projects. <br><br>The role requires extensive experience in airport environments and the ability to coordinate with clients, operators, consultants, contractors, regulatory authorities, and stakeholders to ensure successful project delivery in compliance with applicable international and local standards. <br><br>Candidates without proven airport project experience will not be considered. <br><br> <br><br>Required Airport Experience <br><br>The candidate shall demonstrate experience in one or more of the following airport project types: <br><br>Airport Passenger Terminals. Cargo Terminals and Logistics Facilities. Airport Security Facilities. Airside Infrastructure Projects. Airport Expansion and Modernization Projects. Airport Operational Readiness and Transition (ORAT) Activities. Airport Systems Integration Projects. Technical Competencies <br>The candidate shall possess knowledge and practical experience in several of the following systems: <br><br>including ICT systems (structured cabling, LAN/WAN, data centers, active equipment, wireless, voice and IP telephony, and network security), airport operational systems (FIDS, CUPPS, CUSS, BHS/BRS interfaces, AODB, master clock, and PAVA), security systems (CCTV, access control, PIDS, screening equipment, X-ray, explosive and metal detection, vehicle access control, ANPR, and barriers), and ELV systems (fire alarm, BMS, IPTV, audiovisual, UPS, integrated platforms, and emergency communication). <br> <br><br>Key Responsibilities <br><br>Key responsibilities include reviewing design documents, calculations, specifications, and drawings; assessing shop drawings and technical submittals; ensuring compliance with project requirements and standards; supporting value engineering initiatives; monitoring installation activities and conducting inspections; reviewing contractor progress and quality; identifying non-conformities; supporting testing and commissioning through review of procedures and witnessing FAT/SAT; verifying system performance and integration; coordinating with multidisciplinary teams and stakeholders; participating in project meetings and planning; and supporting handover activities including as-built documentation, O&M manuals, snagging, and final acceptance<br>Knowledge of Standards <br><br>The Candidates should demonstrate familiarity with applicable standards and regulations, including ICAO SARPs, IATA Airport Development and Operations Guidelines, FAA Advisory Circulars and design standards, NFPA, IEC, TIA/EIA, and BICSI standards, as well as local building codes, airport security regulations, and aviation authority requirements. <br>Preferred Experience <br><br>International airport projects. Greenfield airport developments. Major airport expansion projects. ORAT and airport transition programs. Large-scale integrated airport systems. Experience within the GCC region. <br><br><br>Qualifications<br><br>Bachelor's Degree in Electrical Engineering, Electronics Engineering, Telecommunications Engineering, ICT Engineering, Computer Engineering, or related discipline. Professional engineering registration or eligibility for registration with a recognized engineering body is preferred. Minimum 10 years of relevant professional experience in ICT, ELV, Security, or Airport Systems. Minimum 5 years of airport project experience (Mandatory). Experience in design consultancy, PMC, supervision consultancy, contractor, or airport operator environments. Excellent written and verbal communication skills in English.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what s possible.</p><p>Parsons is seeking a Civil/Structural Lead Engineer to join our dynamic team. The Lead Engineer will play a critical role in the design and development of a state-of-the-art stadium construction project. The successful candidate will leverage their extensive experience ensuring the highest standards of engineering excellence, safety, and sustainability are met. This role requires a deep understanding of structural engineering principles, innovative problem-solving skills, and the ability to effectively communicate complex technical concepts to clients and stakeholders.</p><p>What You'll Be Doing:</p><ul><li>Lead the structural engineering design efforts for the stadium project, ensuring compliance with all relevant codes, standards, and best practices.</li><li>Provide technical expertise and oversight throughout the design process, from conceptual development to detailed engineering and construction documentation.</li><li>Collaborate with architects, contractors, and other engineering disciplines to develop integrated design solutions.</li><li>Conduct detailed structural analysis and design of stadium components, including foundations, superstructure, and specialized sports facility elements.</li><li>Review and approve design drawings, specifications, and calculations prepared by the engineering team.</li><li>Ensure design solutions are optimized for safety, performance, and cost-effectiveness.</li><li>Coordinate with project managers to develop and maintain project schedules and budgets.</li><li>Mentor and guide junior engineers, fostering a culture of continuous learning and professional development.</li><li>Interface with clients, presenting design concepts and solutions, and addressing any technical inquiries or concerns.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Civil or Structural Engineering; A minimum of 18 years of experience in structural engineering, with a significant focus on large-scale projects such as stadiums, arenas, or similar structures.</p><p>Extensive knowledge of structural analysis software (e.g., ETABS, SAP2000, STAAD Pro) and CAD tools (e.g., AutoCAD, Revit). Excellent communication and interpersonal skills, with the ability to effectively convey technical information to non-technical stakeholders. Demonstrated problem-solving abilities and a proactive approach to addressing challenges.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you ll play a key role in advancing AI capabilities and real-world applications.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies. Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML). Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets). Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving. Strong attention to detail and commitment to data accuracy. Self-directed work ethic with ability to troubleshoot independently. A link to GitHub is a plus. English proficiency: Upper-intermediate (B2) or above (required).</p><p>Why this freelance opportunity might be a great fit for you? Work fully remote on your own schedule with just a laptop and stable internet connection. Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly a distinctive skill set in a rapidly growing field. Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>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.</p><p>Key Responsibilities</p><p>AI &amp; Machine Learning Development</p><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><p>Generative AI Engineering</p><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><p>MLOps &amp; AI Operations</p><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><p>Cloud &amp; Platform Engineering</p><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><p>Data Engineering &amp; Integration</p><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><p>Stakeholder Management</p><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><p>Required Technical Skills</p><p>Artificial Intelligence &amp; Machine Learning</p><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 &amp; 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><p>MLOps</p><ul><li>MLflow</li><li>Kubeflow</li><li>Airflow</li><li>Model Monitoring &amp; 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><p>Cloud Platforms</p><ul><li>Microsoft Azure</li><li>AWS</li><li>Google Cloud Platform (GCP)</li><li>Oracle Cloud Infrastructure (OCI)</li></ul><p>Preferred</p><p>Containers &amp; DevOps</p><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><p>Programming Languages</p><ul><li>Python (Mandatory)</li><li>SQL</li><li>Bash/Shell Scripting</li><li>Java or C# (Preferred)</li></ul><p>Qualifications</p><p>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</p><p>Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</p><p>Experience Requirements</p><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><p>Preferred Certifications</p><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><p>Soft Skills</p><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><p>Mandatory Requirements</p><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><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><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><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Linux, Kubernetes &amp; 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 &amp; Veeam Infrastructure Engineer to support the administration, security, monitoring, and operational management of enterprise Linux systems, Kubernetes container platforms, and Veeam Backup &amp; 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 &amp; 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 &amp; 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 &amp; Recovery Administration Administer and maintain Veeam Backup &amp; 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 &amp; 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 &amp; Access Management System Performance Monitoring Patch Management Log Analysis &amp; Troubleshooting Kubernetes &amp; Containers Kubernetes Administration Container Security Docker RBAC Management Container Image Security Cluster Monitoring &amp; Troubleshooting Helm Kubernetes Networking Namespace &amp; Policy Management Backup &amp; Recovery Veeam Backup &amp; Replication Backup Administration Replication &amp; Recovery Operations Restore Testing Disaster Recovery Planning Backup Monitoring &amp; Optimization Security &amp; Monitoring Vulnerability Management Configuration Compliance Security Hardening SIEM Integration Centralized Logging Security Monitoring &amp; Incident Response DevOps &amp; 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 &amp; 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 &amp; 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 &amp; 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</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Required Technical Skills</strong> Linux Administration Red Hat Enterprise Linux (RHEL) Oracle Linux Ubuntu Linux Linux Security Hardening Shell Scripting (Bash) User &amp; Access Management System Performance Monitoring Patch Management Log Analysis &amp; Troubleshooting Kubernetes &amp; Containers Kubernetes Administration Container Security Docker RBAC Management Container Image Security Cluster Monitoring &amp; Troubleshooting Helm Kubernetes Networking Namespace &amp; Policy Management Backup &amp; Recovery Veeam Backup &amp; Replication Backup Administration Replication &amp; Recovery Operations Restore Testing Disaster Recovery Planning Backup Monitoring &amp; Optimization Security &amp; Monitoring Vulnerability Management Configuration Compliance Security Hardening SIEM Integration Centralized Logging Security Monitoring &amp; Incident Response DevOps &amp; Automation (Preferred) CI/CD Pipelines Git Jenkins GitLab CI/CD Ansible Terraform Python (Basic to Intermediate) <strong>Qualifications</strong> Bachelor s Degree in Computer Science, Information Technology, Engineering, Cybersecurity, or a related field. Relevant certifications are highly desirable. <strong>Experience Requirements</strong> 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 &amp; Replication administration. Experience supporting enterprise infrastructure operations and security compliance initiatives. Experience with vulnerability remediation and operational monitoring. <strong>Preferred Certifications</strong> 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 &amp; Recovery Veeam Certified Engineer (VMCE) Security Security+ CISSP (Preferred) Certified Cloud Security Professional (CCSP) <strong>Soft Skills</strong> 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. <strong>Must-Have Requirements</strong> 3 5 years of Linux Administration experience. Hands-on Kubernetes administration and container security experience. Experience with Veeam Backup &amp; 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.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>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.</p><p>6 - 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</p><p>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</p><p>Proven experience building and operationalizing machine learning models in production environments.</p><p>Strong experience implementing enterprise MLOps frameworks and practices.</p><p>Experience working with cloud-native AI services and modern AI platforms.</p><p>Native or Fluent Arabic Speaker.</p><p>Strong Python programming skills.</p><p>Experience deploying AI solutions in enterprise production environments.</p><p>Willingness to work onsite in Riyadh, Saudi Arabia.</p><p>Strong analytical and problem-solving skills.</p><p>Excellent communication and stakeholder management abilities.</p><p>Ability to work effectively in cross-functional and multicultural environments.</p><p>Strong ownership, accountability, and leadership mindset.</p><p>Passion for innovation and continuous learning.</p><p>Ability to communicate fluently in both Arabic and English.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsibilities: Lead quality risk assessment across the whole processes under their responsibility and ensures they are documented and updated regularly especially those related to new/change in process and new product introduction. Working with other stakeholders, identify and implement actions to minimize risks identified through risk assessments such as codifying and leading the implementation of fit-for-purpose First Article (FA) protocol for specific component types. Schedule and the lead implementation of quality audits within their scope of operation. Lead assurance effort to ensure ongoing compliance with applicable internal, customer and industry quality and regulatory requirements Lead the analysis of available data to identify key trends/causes of NCRs and Service Qualities, and the root cause(s) of those key causes. Perform analysis of run life performance of installed ESP systems to identify key trends and causes, at various organizational levels Lead the analysis of the yield, process variance and measurements done across overall manufacturing process, to identify key processes that require improvements. Provide input and recommendation on how to add/update/upgrade business systems to enable incorporating various data analysis as part of routine operation As Subject Matter Expert (SME), train the organization on applicable topics related to root cause analysis, statistical quality tool, reliability engineering and data analysis. Performs other duties as assigned.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor (or higher) degree in any Science/Engineering discipline.</li><li>Minimum 5 years working experience in similar role</li><li>Practical experience in using Minitab and/or Reliasoft suite-of-software (or equivalent)</li><li>Knowledge of ERP and GEARs systems</li><li>Basic knowledge in development and use of Machine Learning and Artificial Intelligence</li><li>Knowledge of ISO 9001/API Q1 is mandatory</li><li>Preferred experience in Oil &amp; Gas, Aerospace, Automotive or Electronics manufacturing industry</li><li>Excellent English written and verbal communication skills.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><span >What makes you remarkable? At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world s most critical challenges. At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world s most critical challenges.</span></p><p>Qualifications:</p><ul><li>Bachelor s degree in mining/mechanical/metallurgical/civil or related field.</li><li>10 years project engineering experience in mining or mineral processing.</li><li>Strong project management and communication skills.</li></ul><p>What we can offer</p><ul><li>Medical Insurance - Ensures specialist care is available to you and eligible family members residing in country. Pre-existing medical conditions are covered. No limit on number of children covered under the policy however age and coverage limits apply in line with KSA CCHI rules. Option to select higher medical cover payable at employees own expense.</li><li>Employee Assistance Programe - Allows you to feel comfortable knowing that you or your immediate family members can confidentially discuss any work or personal issues that are an inevitable part of life. The program helps support your mental, physical, social &amp; financial well-being.</li><li>GOSI (Social Insurance) - Payable to KSA employees, social insurance contributions are paid by the company in line with Government legislation to cover occupational hazards.</li><li>End of Service Gratuity - In line with KSA Labour Law, all employees are eligible for an End of Service benefit.</li><li>Examination Leave - Upon company approval to enroll in an education institute or to continue within such institution, employees have the right to fully paid leave to sit for an examination of an unrepeated year. Leave duration is based on the days of actual examination and must be applied for no less than fifteen days prior exam</li><li>Professional Memberships - One professional membership, registration, subscription, certification and/or license cost per annum for all active Wood employees. The membership must be relevant to the role you are currently employed in or be part of a development plan. Reimbursement should be claimed via the expenses procedure system, with supporting evidence.</li><li>Inspire Awards - Our annual awards programme is all about recognising and celebrating our inspirational colleagues those designing the future, upholding our values and playing a pivotal role in delivering our strategy. Employees can recognise those who inspire them and make their day by nominating them for their hard work, innovation and tenacity.</li><li>Long Service Award - Wood values the commitment and loyalty of our people. Celebrating Long Service provides an opportunity for the business to demonstrate their appreciation of the hard work, dedication and many years service of our employees at 5 year service milestones.</li><li>Career Development Champions - Prioritizes structured growth through goal setting and resource utilization. Employees use tools for planning and feedback, with managers actively coaching and mentoring to support advancement. Continuous learning and development are emphasized to help employees achieve their career goals effectively.</li></ul><p>Project Deliverables</p><ul><li>Contributes to the Project Execution Plan, Discipline Design Instruction and Contract requisitions; prepares project plans and multi-discipline documents such as basis of design, subcontract scopes of work</li><li>Able to manage and coordinate engineering multidiscipline inputs and deliverables across multiple execution centers including workshare / high value engineering centers</li></ul><p>Quality, HSE and Assurance</p><ul><li>Understands and works to quality system; monitors and acts on deficiencies</li><li>Checks Health, Safety, Environment and Security (HSES) issues are identified and addressed in design, manufacture, construction, commissioning and operations</li><li>Develops Project Specific Procedures</li><li>Ensures that the Engineering disciplines comply strictly with the contract and scope of work in completing project activities</li><li>Responsible for assuring quality of engineering deliverables before issue to customer</li><li>Chairs technical meetings with Third Parties and manages particular technical issues through to completion</li></ul><p>Development and Management of Schedule</p><ul><li>Plans individual work activities and manages time; liaises with disciplines to ensure timely receipt of comments</li><li>Inputs to work plan, sets targets and holds regular reviews</li><li>Expedite Engineers to deliver to schedule, fully understand reasons for delay and drive development of recovery plans</li><li>Resolves most delays or changes and escalates only most serious issues</li></ul><p>Change Management</p><ul><li>Highlights and quantifies changes that impacts work</li><li>Able to effect change when approved</li></ul><p>People Management</p><ul><li>Supervises work of technical professionals in the delivery of engineering deliverables including checking work</li><li>Coordinates medium sized interdisciplinary team (typically 10-50)</li><li>Communicates to facilitate work effort; motivates team; strong, positive and active in solutions and proactive attitude</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in mining/mechanical/metallurgical/civil or related field.</li><li>10 years project engineering experience in mining or mineral processing.</li><li>Strong project management and communication skills.</li></ul><p></p></section>

We have an immediate opportunity for "Engineer - Electrical ". Please let me know if you're interested kindly send me your CV to kirthika.r@lancesoft.com<br>????Title: Engineer - Electrical ????Location : Dhahran, KSA - onsite????Duration : 1 year contract ⏰ Notice Period: Immediate joiner or up to 30 days<br>???? Key Requirements:Strong preference for individuals experienced in design of Bently Nevada machinery protection cabinet and control products.• Knowledge of Cabinet design engineering,• Knowledge of Bently Nevada machinery protection and management systems products and services.• 3+ years field / projects / maintenance experience (working with instrumentation, control systems) in energy and/or oil & gas environment or relevant field will be an added advantage.• Understanding of ISO 9001 design control standards• Prior experience with utility protection and control design standards• Knowledge of LV control circuit, fuse and circuit breaker coordination• Prior experience following quality assurance processes while working in a projects schedule-driven environment<br>????Responsibilities• Primarily responsibility is to create electrical control cabinet design with all necessary documentation according to industry and customer requirements.• Use Micro Station CAD, Autodesk Inventor software to create, revise, review Project Drawings (System Interconnect, Power wiring, Layout drawings, Loop drawings, blocks, etc.)• Compliance to customer specifications for Hardware / Cabinets• Knowledge of industry codes and standards (IEEE, ANSI, NEC, IEC, NFPA).• Assist Project Engineer in customer witness testing of Hardware / Cabinet design functionality.• Follow quality procedures and standard design processes.• Develop detailed bills of material for panels.• Specify parts and develop ordering drawings. Update PE with job completion estimates and status• Provide performance based and economic evaluations, selection, application, troubleshooting and maintenance practices of protection devices.• Incorporate new design techniques to increase efficiency of Cabinet Engineering.• Responsible for executing defect-free designs in a timely manner.• Demonstrated ability to work in a global team environment,• Understanding of the electrical engineering concepts deemed necessary for designing the electrical cabinet• Understanding of NEMA/IP classifications<br>Interested candidates send me your Cv along with below details:Expected salary:Visa/ Work Permit:Notice Period:Current Location:

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Role Purpose The Senior Infrastructure &amp; Multi-Cloud Automation / IaC Engineer will lead infrastructure automation across private cloud, OCI, GCP, SIT, virtualization, and systems operations. The role focuses on standardizing infrastructure provisioning, improving cloud asset inventory, eliminating orphaned resources, reducing manual operational effort, and enabling scalable multi-cloud operations through Infrastructure-as-Code and automation. This is not primarily an application DevOps role. DevOps knowledge is useful, but the main focus is infrastructure automation, operational control, cloud hygiene, lifecycle governance, and managed operations efficiency.</p><p>Key Responsibilities</p><ul><li>Infrastructure &amp; Multi-Cloud Automation<ul><li>Design and implement Infrastructure-as-Code templates for OCI, GCP, SIT, private cloud, VMware/VCF, and systems environments.</li><li>Automate infrastructure provisioning across cloud, virtualization, and systems platforms.</li><li>Build reusable automation templates for compute, network, IAM, storage integration, monitoring onboarding, and backup onboarding.</li><li>Standardize automation patterns using Terraform, Ansible, scripts, and platform-native tools.</li><li>Reduce manual provisioning and repetitive operational tasks across infrastructure towers.</li><li>Support automation for VM lifecycle, cloud resource provisioning, patching workflows, and operational handovers.</li><li>Support limited CI/CD or pipeline usage only where required for infrastructure automation workflows.</li></ul></li><li>Cloud Asset Management &amp; Inventory<ul><li>Own cloud infrastructure asset management automation across OCI, GCP, SIT, and private cloud environments.</li><li>Maintain automated cloud inventory and resource discovery workflows.</li><li>Identify orphaned, unused, unattached, or underutilized cloud resources.</li><li>Automate reporting and controlled cleanup workflows for orphaned objects, subject to approval and change control.</li><li>Implement tagging standards for ownership, environment, cost center, service, criticality, lifecycle status, and business owner.</li><li>Support cloud resource lifecycle management from provisioning to decommissioning.</li><li>Integrate cloud asset data with CMDB / ServiceNow where applicable.</li><li>Generate regular cloud inventory, utilization, hygiene, and optimization reports.</li><li>Support FinOps reporting by identifying waste, idle resources, and optimization opportunities.</li><li>Ensure automation templates enforce standard naming, tagging, and governance policies.</li></ul></li><li>Governance, Documentation &amp; Operational Integration<ul><li>Define automation standards, reusable templates, coding practices, and operational runbooks.</li><li>Support integration between automation workflows, ITSM, monitoring, and operational processes.</li><li>Work with Storage, Backup, Virtualization, Cloud, and Systems towers to identify automation opportunities.</li><li>Review and approve automation code, scripts, and templates.</li><li>Guide junior automation engineers and tower engineers on automation practices.</li><li>Ensure automation activities follow change management and approval processes.</li><li>Maintain version-controlled repositories for infrastructure automation assets.</li></ul></li></ul><p>7+ years of experience in infrastructure, cloud, virtualization, systems, or automation roles.</p><p>Strong hands-on experience with Terraform and Ansible.</p><p>Experience automating infrastructure across at least two of the following: OCI, GCP, VMware/VCF, private cloud, Windows, Linux.</p><p>Strong understanding of infrastructure operations, provisioning, patching, monitoring, lifecycle management, and operational governance.</p><p>Experience with cloud landing zones, IAM, networking, compute, storage, and monitoring automation.</p><p>Experience in cloud asset inventory, tagging governance, and resource lifecycle management.</p><p>Experience identifying orphaned cloud resources such as unused disks, unattached IPs, idle VMs, orphan snapshots, unused buckets, stale accounts/projects, and unused network objects.</p><p>Good scripting skills using Python, PowerShell, Bash, or similar.</p><p>Familiarity with Git and version control for automation templates.</p><p>Understanding of ITSM, ServiceNow, change management, and operational approval workflows.</p><p>Ability to design reusable automation frameworks, not only standalone scripts.</p><p>Preferred Experience</p><ul><li>Multi-cloud automation experience.</li><li>VMware / VCF automation exposure.</li><li>OpenShift or Kubernetes infrastructure automation exposure.</li><li>ServiceNow workflow or CMDB integration experience.</li><li>Basic FinOps awareness.</li><li>Basic CI/CD awareness for managing infrastructure automation pipelines, not application delivery.</li></ul><p>Preferred Certifications</p><ul><li>HashiCorp Terraform Associate.</li><li>Red Hat Ansible certification.</li><li>Google Cloud certification.</li><li>Oracle Cloud Infrastructure certification.</li><li>VMware certification.</li><li>Red Hat / OpenShift certification is a plus.</li><li>ITIL Foundation.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>7+ years of experience in infrastructure, cloud, virtualization, systems, or automation roles.</li><li>Strong hands-on experience with Terraform and Ansible.</li><li>Experience automating infrastructure across at least two of the following: OCI, GCP, VMware/VCF, private cloud, Windows, Linux.</li><li>Strong understanding of infrastructure operations, provisioning, patching, monitoring, lifecycle management, and operational governance.</li><li>Experience with cloud landing zones, IAM, networking, compute, storage, and monitoring automation.</li><li>Experience in cloud asset inventory, tagging governance, and resource lifecycle management.</li><li>Experience identifying orphaned cloud resources such as unused disks, unattached IPs, idle VMs, orphan snapshots, unused buckets, stale accounts/projects, and unused network objects.</li><li>Good scripting skills using Python, PowerShell, Bash, or similar.</li><li>Familiarity with Git and version control for automation templates.</li><li>Understanding of ITSM, ServiceNow, change management, and operational approval workflows.</li><li>Ability to design reusable automation frameworks, not only standalone scripts.</li><li><b>Preferred Experience:</b> Multi-cloud automation experience. VMware / VCF automation exposure. OpenShift or Kubernetes infrastructure automation exposure. ServiceNow workflow or CMDB integration experience. Basic FinOps awareness. Basic CI/CD awareness for managing infrastructure automation pipelines, not application delivery.</li><li><b>Preferred Certifications:</b> HashiCorp Terraform Associate. Red Hat Ansible certification. Google Cloud certification. Oracle Cloud Infrastructure certification. VMware certification. Red Hat / OpenShift certification is a plus. ITIL Foundation.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Senior 2-Stroke Engine Design Engineer works to develop the production design for mechanical parts to satisfy the requirement and quality in a timely manner. In addition to developing the parts list of drawings and He/She lead the troubleshooting efforts of the engine issues during engine production, acceptance tests and after commissioning. He/She also manage and control engine issues during engine production, acceptance test and after commissioning.</p><p>Key Accountabilities</p><ul><li>Develop the design system including 2D/3D CAD system which is compatible with Licensor s system and establish the standard of technology and drawings.</li><li>Develop the communication channel with the licensor to set up Licensor s technical support in the initial stage and co- operate with the licensor &amp; technical partners as well for technical trend, issues and engineering problems.</li><li>Design the structure parts such as bedplate, frame box, cylinder frame and engine platforms and moving parts.</li><li>Utilize CAD program to design the 2D/3D models of engine components and assemblies following the Licensor standards.</li><li>Make an accurate and complete parts list of drawings in order to be manufactured by the suppliers without fault and issue Purchase Order Requests (PORs) for components in quality and quantity specified in a timely manner.</li><li>Support the other business lines as a technical expert in client meetings by proposing the best-suited engine model and making Extent of Delivery (EOD) for the contract after reviewing the Purchase Order Specification (POS).</li><li>Troubleshooting engine quality issues during the production with the Operations Business Line in the shop or with the customers such as vibration, noise, and alignment.</li><li>Manage the Non-Conformity Report (NCR) and List of Differences (LOD) with the licensor.</li><li>Optimize designs to reduce wasted material costs.</li><li>Support for improving the abilities of junior engineers.</li><li>Perform any job-related activities as requested by the line manager.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in mechanical, electrical engineering, or a related discipline.</li><li>Holding a professionally recognized certification is preferable in the following fields: Project Management (i.e. PMP), CAD software (i.e. Auto CAD).</li><li>Mastery of Computer-Aided Design (CAD) software.</li><li>Strong understanding of design principles.</li><li>Solid knowledge of licensor s design codes &amp; standards, IMO regulations and class rules.</li><li>Knowledge of materials properties and selection criteria.</li><li>Proficiency in using simulation and analysis tools to assess the performance, durability, and reliability of designs.</li><li>Project management skills to effectively plan, organize, and execute design projects.</li><li>Effective analytical and problem-solving skills.</li><li>Capability to identify and assess risks associated with design projects.</li><li>Implementation of quality assurance processes.</li><li>Proficient in the use of MS products Outlook, Word, Excel, PowerPoint, etc. and other Company and discipline specific software applications.</li><li>Thorough documentation skills for creating design specifications, technical drawings, and project reports.</li><li>Leadership skills to guide and mentor junior engineers.</li><li>Deciding and Initiating Action.</li><li>Working with People.</li><li>Analyzing.</li><li>Learning and Researching.</li><li>Following Instructions and Procedures.</li><li>Minimum of 7 years of relevant experience in blue-chip or best practice organization</li><li>Excellent written and spoken English</li></ul><p></p></section>

<h3 >About the Role</h3> <p >Ezditek is seeking a <strong >Network Operations Center (NOC) Manager Data Center Operations</strong> to lead and manage NOC functions across multiple hyper-scale data centers located in various capital cities within Saudi Arabia. This full-time position is based in Riyadh and is integral to ensuring the stability and efficiency of data center infrastructure.</p> <h3 >Role Overview</h3> <p >The NOC Manager will plan, organize, and manage staff and overall NOC operations. This role involves overseeing a team of in-house and outsourced NOC engineers and technicians to ensure 24/7 infrastructure monitoring, incident response, and operational excellence. The Manager is responsible for maintaining compliance with hyper-scale tenants' Service Level Agreements (SLAs), ensuring high availability, and driving continuous improvement in NOC processes and infrastructure.</p> <h3 >Key Responsibilities</h3> <ul > <li >Define, implement, and enforce Configuration Management and Change Management policies and practices for data centers.</li> <li >Make budget and purchasing recommendations, supporting capacity management and planning.</li> <li >Develop and implement NOC operational strategies aligned with organizational growth and tenant requirements.</li> <li >Hire, develop, and retain responsive, customer-focused engineers, ensuring effective NOC operation.</li> <li >Manage tools, systems, and procedures to ensure effective issue management and customer satisfaction.</li> <li >Oversee and direct the daily operations of NOC teams across multiple data centers, ensuring appropriate 24/7 staffing levels.</li> <li >Lead, mentor, and develop NOC engineers and technicians, fostering a culture of accountability and collaboration.</li> <li >Provide Tier-2 and Tier-3 escalation support and act as the primary point of contact for senior leadership inquiries.</li> <li >Ensure seamless coordination between NOC operations and site operations teams across all facilities.</li> <li >Manage and fine-tune event monitoring systems to proactively identify and respond to issues, including alarm configuration.</li> <li >Develop and maintain detailed protocols for responding to alerts from monitoring tools, calls, and emails.</li> <li >Oversee incident resolution to minimize downtime and customer impact, focusing on meeting tenant SLAs.</li> <li >Establish and enforce robust processes for incident and problem management, driving resolution of complex technical issues.</li> <li >Conduct detailed post-incident reviews and implement preventative measures based on findings.</li> <li >Provide regular and ad-hoc reports on key performance metrics, incident trends, and SLA compliance.</li> <li >Monitor and analyze capacity trends, working with engineering teams for upgrades or expansions.</li> <li >Develop, test, and maintain disaster recovery and business continuity plans specific to NOC operations.</li> <li >Maintain an accurate and up-to-date inventory of NOC infrastructure, tools, and assets.</li> <li >Ensure compliance with all operational, regulatory, and environmental standards, including energy management SLAs.</li> <li >Build strong relationships with hyper-scale tenants to understand their NOC-function requirements.</li> <li >Initiate and oversee requests for expanding and optimizing NOC infrastructure.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >Bachelor's or Master's degree in Computer Science, Electrical Engineering, Telecommunication Engineering, Information Technology, or a related field.</li> <li >8-10 years of related experience, with at least 3 years in a managerial role.</li> <li >Proven experience managing NOC functions in a hyper-scale data center environment.</li> <li >Strong proficiency in ITIL frameworks and NOC-related systems/tools, including monitoring platforms and ticketing systems.</li> <li >Demonstrated expertise in incident, problem, capacity, and change management.</li> </ul> <h3 >Required Skills and Certifications</h3> <ul > <li >Strong leadership, communication, and decision-making skills.</li> <li >Ability to thrive under pressure and manage multiple priorities effectively.</li> <li >Advanced certifications such as ITIL, CDFOM, CDFOS, AOS, and PMP are a plus.</li> </ul> <h3 >Work Environment</h3> <p >This is a full-time position based in Riyadh, Saudi Arabia, requiring oversight of operations across multiple data center facilities.</p>

<h3 >About the Role</h3> <p >Honeywell Technologies is seeking an <strong >Application/Sys Sales Engineer I</strong> to join its team in Saudi Arabia. This full-time position, which functions as a <strong >CX (Sales Support Specialist)</strong>, is open exclusively to <strong >Saudi Nationals who are fresh graduates</strong> with 0-1 years of experience. The role focuses on supporting technical requests from customers and contributing to the customer experience strategy.</p> <h3 >Role Purpose and Impact</h3> <p >As an Application/Sys Sales Engineer I, you will contribute to shaping the customer experience strategy and driving initiatives aimed at enhancing customer satisfaction and loyalty. Your ability to support technical requests from customers will be crucial in optimizing customer experience programs and fostering business growth. This role is designed to improve customer satisfaction, increase revenue, strengthen cross-functional collaboration, and cultivate a customer-centric culture, all contributing to the organization's long-term success.</p> <h3 >Key Responsibilities</h3> <p >The Application/Sys Sales Engineer I will undertake responsibilities across design support and application engineering, including:</p> <ul > <li >Interpreting client requirements, building codes, and relevant fire safety standards to develop compliant, cost-effective Fire, Security, or BMS solutions.</li> <li >Collaborating with clients, consultants, architects, and contractors throughout the design and project lifecycle to ensure alignment, technical accuracy, and timely delivery.</li> <li >Preparing detailed system architecture and bill of materials for Fire, Security, or BMS systems, including complimentary systems.</li> <li >Reviewing project specifications, drawings, Bill of Quantities (BOQs), and client requirements.</li> <li >Preparing technical proposals for bids and tenders.</li> <li >Understanding the competitive landscape and local industry practices for assigned systems and regions.</li> <li >Conducting product demonstrations, Proofs of Concept (PoCs), presentations, and technical consultations.</li> <li >Obtaining vendor quotations and evaluating technical and commercial compliance.</li> <li >Supporting project managers and installation teams by providing engineering input during procurement, construction, and commissioning phases.</li> <li >Developing products with enhancements and new product developments to increase product specifications and quality.</li> <li >Conducting technical reviews, design risk assessments, and site visits to resolve technical queries and verify installation quality as per design intent.</li> <li >Developing and implementing customer-centric programs to enhance customer satisfaction and loyalty.</li> <li >Collaborating with cross-functional teams to drive customer-focused initiatives and ensure alignment with business goals.</li> </ul> <h3 >Candidate Profile</h3> <ul > <li >This position is designated for <strong >Saudi Nationals only</strong>.</li> <li >Applicants must be <strong >fresh graduates</strong> with 0-1 years of professional experience.</li> </ul> <p >The ideal candidate will demonstrate an ability to interpret technical requirements, collaborate effectively, and contribute to customer satisfaction initiatives within a technical sales support context.</p> <h3 >About Honeywell Technologies</h3> <p >Honeywell Technologies helps organizations solve complex challenges in automation, the future of aviation, and energy transition. As a trusted partner, Honeywell provides actionable solutions and innovation through its Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments. These efforts are powered by Honeywell Forge software, contributing to a smarter, safer, and more sustainable world.</p> <h3 >Work Type and Location</h3> <p >This is a <strong >full-time</strong> position based in <strong >Saudi Arabia</strong>. The role operates within a global team focused on making future-defining advancements across various industries.</p>

<p>Manpower Requirement For Bilfinger Saudi Arabia (KSA)</p><p>Bilfinger KSA Client Interview Schedule</p><p>10 August 2026 - Mumbai - Anuptech</p><p>12 August 2026 - Vadodara - Anuptech</p><p>14 August 2026 - Gorakhpur - Global Welding Training Institute</p><p>15 August 2026 - Kushinagarr -North Metro Training And Test Centre</p><p>AVAILABLE POSITIONS &amp; SALARY</p><p>QA / QC Inspector Mechanical Total Salary 5800 SAR</p><p>QA / QC Engineer Total Salary 9600 SAR</p><p>Rotating Equipment Technician Total Salary 3200 SAR</p><p>Procurement Expeditor Total Salary 6600 SAR</p><p>Camp Boss Total Salary 3100 SAR</p><p>MANDATORY INSTRUCTIONS</p><p>Candidates Must Bring Original Passport Updated CV Original Educational &amp; Experience Certificates Relevant Supporting Documents Passport-size Photographs (if available)</p><p><strong>Desired Candidate Profile</strong></p><p>Candidates Must Bring Original Passport Updated CV Original Educational &amp; Experience Certificates Relevant Supporting Documents Passport-size Photographs (if available)</p>

<h3 >About Qualcomm and the Opportunity</h3> <p >Qualcomm is expanding its presence in Riyadh, Saudi Arabia, to bolster its infrastructure across the region. As Saudi Arabia progresses with its digital transformation under Vision 2030, Qualcomm is investing in advanced computing and data centre capabilities to support AI, cloud technologies, and scalable advanced connectivity. This presents an opportunity to contribute to a rapidly growing technology hub. We are seeking a <strong >Machine Learning Engineer Staff level</strong> for our Datacentre AI Engineering team in a full-time capacity in Riyadh.</p> <h3 >Role Overview</h3> <p >The Staff-level ML Applications Engineer will operate with a high degree of autonomy, defining technical goals and scope for assigned problem areas. This role involves leading development efforts from conception through execution, requiring extensive hands-on experience in C++/Python-based AI development within a Linux environment. The successful candidate will demonstrate strong analytical skills, foster effective cross-team collaboration, and mentor other engineers through practical example, maintaining a hands-on, execution-focused approach.</p> <h3 >Key Responsibilities</h3> <ul > <li >Improve and optimize key Deep Learning models on Qualcomm AI 100.</li> <li >Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.</li> <li >Collaborate with internal teams to analyze and optimize training and inference for deep learning.</li> <li >Develop software tools and an ecosystem around the AI SW Stack.</li> <li >Work on Triton, ExecuTorch, Inductor, and TorchDynamo to build abstraction layers for inference accelerators.</li> <li >Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.</li> <li >Optimize the entire deep learning pipeline, including graph compiler integration.</li> <li >Apply knowledge of software engineering best practices.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >5-10 years of professional experience in a relevant engineering role, specifically in AI development.</li> <li >Extensive hands-on experience in C++/Python-based AI development within a Linux environment.</li> <li >Demonstrated ability to define technical goals, scope problem areas, and lead development efforts from conception through execution.</li> <li >Strong analytical skills and a proven ability to collaborate effectively across teams.</li> <li >Experience mentoring and guiding other engineers through practical example.</li> <li >Proficiency with Deep Learning models, frameworks, and optimization techniques.</li> <li >Familiarity with open-source contributions and building software ecosystems around AI stacks.</li> <li >Knowledge of inference accelerators and related technologies such as Triton, ExecuTorch, Inductor, and TorchDynamo.</li> <li >Understanding of workload optimization for multi-SoC and multi-card systems, and deep learning pipeline optimization including graph compiler integration.</li> <li >Adherence to software engineering best practices.</li> </ul> <h3 >Compensation Structure</h3> <p >The compensation package for this full-time position includes a competitive salary, housing and transport allowances, Stock (RSU's), and a performance-related bonus.</p> <h3 >Join Our Team</h3> <p >This role offers an opportunity to contribute to the advancement of AI and data centre capabilities within a global technology leader. We invite qualified candidates to apply.</p>

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.<br>You will be joining a globally recognised engineering leader where technical excellence, innovation, and collaboration are at the heart of everything we do. As a Tech Lead in Mobile Engineering, you will be at the forefront of shaping next-generation connected vehicle and mobility experiences, working within a dynamic team that values bold thinking and engineering craftsmanship. This is a rare opportunity to own a platform, lead people, and make a real impact — all from day one.<br>Your Role<br>In this role you will play a key role in:Owning the Companion App technical roadmap and platform evolution strategy, ensuring alignment with product vision, enterprise architecture, cybersecurity, and connected vehicle service objectives — driving coherent, forward-looking technical decisions across the full mobile ecosystem. Leading end-to-end technical transition activities, including source code repository migrations, CI/CD pipelines, cloud infrastructure, monitoring platforms, documentation, and knowledge transfer from external suppliers — ensuring a seamless and well-governed insourcing process. Delivering hands-on technical leadership across i OS, Android, and BFF services, taking full ownership of the mobile application stack while maintaining the highest standards of quality, performance, scalability, and security. Implementing and overseeing mobile security practices, including OAuth2/Open ID Connect, mobile certificate management, API security, secure software development lifecycle (SSDLC), and vulnerability remediation across the platform. Building and scaling internal mobile engineering capability through mentoring, coaching, technical hiring, onboarding, and the establishment of engineering communities of practice — fostering a culture of continuous improvement and technical excellence. Conducting code reviews and collaborating with the Solution Architect to implement sound architectural decisions, ensuring the platform remains robust, maintainable, and aligned with enterprise standards. Coordinating technical planning, releases, and cross-team dependencies, resolving complex technical challenges, production issues, and integration bottlenecks to keep delivery on track and stakeholders aligned.<br>Your Profile<br>Extensive mobile engineering and leadership experience, with 8-12 years in software engineering and 3-5 years in a Technical Lead or Engineering Lead capacity, with a proven track record delivering enterprise-scale mobile products on i OS (Swift) and Android (Kotlin). Strong backend and cloud proficiency, including hands-on experience with REST APIs, microservices, BFF architecture, Java Spring Boot, and cloud platforms such as Azure or AWS — along with solid CI/CD and Dev Ops practices. Deep expertise in mobile security and platform governance, covering authentication, secrets management, access control, secure software supply chains, and experience managing supplier transitions, source code migrations, and platform ownership handovers. Proven ability to lead and grow engineering teams, with strong mentoring, coaching, and community-building skills — someone who thrives on developing others and establishing best practices at scale. Familiarity with Agile/Scrum delivery practices, including release management, automated testing, quality assurance, and the ability to coordinate across technical and non-technical stakeholders in complex enterprise environments. Experience in automotive, connected vehicle, telematics, mobility, or IoT domains is highly preferred, bringing valuable context to the platform and product challenges this role will face. A Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline.<br>What You'll Love About Working Here<br>Digital campuses and academy Our engineering academy offers more than 60,000 hours of training, as well as our digital campus on Gen AI, data or sustainability, supporting digital learning in the flow of work from awareness to expert certifications. Capgemini Research Institute CRI pioneers best-in-class research, covering ethical AI and sustainability trends to assist organizations in addressing critical questions. CRI has been ranked #1 globally 6 times for research quality. Worldwide Leader of Engineering Services Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. We help our clients unleash their R&D potential to develop the smart products and services of tomorrow. Engineering Horizons A global conference crafted exclusively for Capgemini Engineering colleagues, where excellence takes centre stage. Immerse yourself in opportunities to showcase your talents and connect with the brightest minds in engineering across the planet.<br>About Capgemini<br>Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

Introduction<br><br>A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.<br><br>Your Role And Responsibilities<br><br>As a Solution Architect: Cognitive Computing, you will design and implement cognitive solutions that run on multiple platforms and are composed of multiple software packages. You will create the technical solution architecture for a given business problem and lead the development, integration, and testing of the solution. Your primary responsibilities will include:<br><br> Design Cognitive Solutions: Create technical solution architectures for business problems, utilizing system engineering principles, cloud architectures, and probabilistic and stochastic systems. Lead Solution Development: Guide the development, integration, and testing of cognitive solutions, ensuring performance architecture and engineering of a fully functional cognitive system. Select Analytics Components: Choose complementary analytics components for developing solution blueprints, considering content formats, representations, data sources, content management systems, and interfaces. Develop Solution Blueprints: Account for the full information path from source to knowledge base and from input to processing the content in Cognitive Computing solutions. Engineer Cognitive Systems: Apply system decomposition techniques and system synthesis using available cognitive technology, including the Watson technology suite.<br><br>Preferred Education<br><br>Master's Degree<br><br>Required Technical And Professional Expertise<br><br> Deep Understanding of System Engineering Principles: Experience with system engineering principles, cloud architectures, probabilistic and stochastic systems, and system decomposition techniques to design and implement cognitive solutions. Proficiency in Cognitive Technology: Deep expertise in cognitive technology, including the Watson technology suite, to select complementary analytics components and develop solution blueprints. Content Management Systems Knowledge: Experience with content formats, representations, data sources, content management systems, and interfaces to ensure seamless integration and processing of content in Cognitive Computing solutions. Performance Architecture Expertise: Experience in performance architecture and engineering of fully functional cognitive systems, considering scalability, reliability, and efficiency. Solution Development Leadership: Experience leading the development, integration, and testing of complex cognitive solutions, guiding cross-functional teams to achieve desired outcomes.<br><br>Preferred Technical And Professional Experience<br><br> Familiarity with Cloud Platforms: Deep expertise in cloud architectures, including scalability, reliability, and efficiency considerations, to design and implement cognitive solutions. Knowledge of Probabilistic Systems: Experience with probabilistic and stochastic systems to develop solution blueprints and engineer cognitive systems. Understanding of Data Sources: Experience with various data sources, content formats, and representations to ensure seamless integration and processing of content in Cognitive Computing solutions.