Inspection Engineer Jobs in Saudi
11627 Jobs Found
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<strong>Overview</strong><br><p><span>KEO is a creative enterprise, where innovation is a way of life. We are uniquely resourced with end-to-end services to take clients from inspiration – through conceptualization – to realization of planning, design or project delivery in the built and natural environments. For over 60 years we’ve led with vision, contributing to many of the world’s most ambitious projects, iconic places, remarkable experiences and prosperous communities.</span></p><br><p><span>As a highly integrated and agile AEP/PMCM firm, KEO is recognized by ENR as one of the Top 225 International Design Firms and one of the Top 20 International PM/CM Firms. We are also ranked by World Architecture as the 57th largest global architecture firm and the #1 Firm in the Middle East Region in their 2023 WA100 Survey.</span></p><br><p><span>We invite you to join us. Why?</span></p><br><p><span>When you join KEO, you’ll discover more than just a job – you’ll find a supportive environment that fosters your professional development through internal global mobility and career development and does so within a culture that supports company-wide health and well-being through on-demand counselling services and regular workplace clinics. You will be invited to celebrate community events such as sports days, fun-runs, in-house sports teams and beach clean ups. In addition to your competitive package and benefits you will have access to a suite of policies that include hybrid working arrangements, individual athletic sponsorship, study assistance sponsorship, employee referral rewards, mentoring and coaching programs and extensive in-house on demand learning courses. </span></p><br> <br><strong>Responsibilities</strong><br><p><span>Our newest opportunity is for a talented Mechanical Engineer - to join our award-winning team based in Riyadh, KSA.</span></p><br><p><span><span>This critical role will be responsible for maintaining communication with the client’s site engineers on all project related issues, and reviewing and implementing mechanical contract drawings and building specifications.</span></span></p><br><p><span>We envisage success in this role to include:</span></p><br><ul><li><span>Developing and maintaining professional and meaningful relationships with the client to ensure program and project requirements are being satisfied.</span></li><li><span>Monitoring mechanical services, procedures in all relevant international codes and standards</span></li><li><span>Providing technical input and experience to resolve mechanical related engineering issues on the Project</span></li><li><span>Ensuring the delivery of the contracted Design and Construction Management services to the client.</span></li><li><span>Managing and directing the development and maintenance of the program and project schedules for all phases of the project including procurement, planning, design and construction. </span></li><li><span>Ensuring compliance with all KEO internal processes and procedures.</span></li><li><span>Previous experience in managing procurement of large design and build projects.</span></li><li><span>Strong leadership, people and management skills and business acumen.</span></li><li><span>Effective verbal and written communication proficiency.</span></li><li><span>Prior experience ensuring projects and programs meet financial objectives.</span></li><li><span>Time management and task prioritization skills and ability to work under pressure to meet deadlines.</span></li></ul> <br><strong>Qualifications</strong><br><p><span>To be successful in this dynamic opportunity, we envision that your career journey to date will include 8+ years work experience partnered with a Bachelor degree in Mechanical Engineering.</span></p><br><p><span>KEO’s performance is founded upon integrity, results, innovation, safety and our people. We embrace diversity and recognise its’ contribution to client success wherever we work.</span></p><br><p><span>We are excited to hear how you can partner with our award-winning team and treat all expressions of interest confidentially.</span></p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
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Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.<br><br>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br><br>In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br><br>About The Role<br><br>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 tools such as Apify, Open Router, and other technologies, alongside your own technical expertise and approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets Leverage available tools and 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 Java Script-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<br><br>Educational Qualifications<br><br>At least 3+ years 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<br><br>Academic and/or Professional Experience<br><br>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.<br><br>Technical Skills (Essential)<br><br>Strong experience in Python web scraping (Beautiful Soup, 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)<br><br>Additional Requirements<br><br>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 Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>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.
Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.<br><br>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br><br>In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br><br>About The Role<br><br>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 tools such as Apify, Open Router, and other technologies, alongside your own technical expertise and approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets Leverage available tools and 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 Java Script-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<br><br>Educational Qualifications<br><br>At least 3+ years 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<br><br>Academic and/or Professional Experience<br><br>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.<br><br>Technical Skills (Essential)<br><br>Strong experience in Python web scraping (Beautiful Soup, 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)<br><br>Additional Requirements<br><br>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 Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>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.
Company Description QSS AI & ROBOTICS is a specialized technology provider focused on Artificial Intelligence, Robotics, and Emerging Technologies. The company delivers complete support solutions, from early planning through project closure, ensuring reliable implementation and long-term success for customers. Its professional services team helps organizations optimize technology investments, reduce business risks, and maximize return on investment. Working closely with leading global technology partners, QSS enables clients to offer value-added services that strengthen and extend customer relationships. QSS has built strong trust and satisfaction among its partners and customers over the years.<br>Job Summary We are looking for a Junior Computer Vision Engineer to support the complete development lifecycle of AI computer vision models. The candidate will be responsible for collecting, organizing, cleaning, and annotating image and video datasets, as well as training, testing, and evaluating computer vision models. This is an entry-level position suitable for diploma holders and fresh graduates who are interested in building practical experience in artificial intelligence and computer vision. Previous professional experience is not required.<br>Responsibilities Collect and organize image and video datasets based on project and model requirements. Review, clean, filter, and prepare datasets before annotation and model training. Annotate images and videos using suitable data annotation tools. Review annotations and ensure that labels are accurate, consistent, and complete. Prepare training, validation, and testing datasets. Train computer vision models for object detection, image classification, segmentation, and other related use cases. Test and evaluate model performance. Identify dataset, annotation, and model performance issues. Improve model performance by updating datasets, correcting annotations, and adjusting training configurations. Document datasets, annotation guidelines, training experiments, model versions, and testing results. Prepare trained models and related files for integration and deployment. Support model testing using real images, videos, camera streams, and project scenarios. Work closely with AI engineers, software developers, and project teams.<br>Requirements Diploma in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. Basic knowledge of Python programming. Basic understanding of artificial intelligence, machine learning, and computer vision concepts. Understanding of image and video datasets and how they are used for model training. Ability to learn and use data annotation and model training tools. Strong attention to detail when reviewing datasets and annotations. Good analytical, troubleshooting, and problem-solving skills. Ability to follow technical instructions and annotation guidelines. Ability to work independently and as part of a technical team. No previous professional experience is required.<br>Preferred Qualifications Familiarity with YOLO or similar object detection models. Basic knowledge of PyTorch or Tensor Flow. Familiarity with Open CV and image-processing concepts. Experience using annotation tools such as CVAT, Roboflow, Label Studio, or Label Img. Academic, personal, or graduation projects related to artificial intelligence, machine learning, or computer vision.<br>Candidate Profile The ideal candidate is a motivated and detail-oriented diploma holder or fresh graduate who is interested in developing a career in artificial intelligence and computer vision. The candidate should be willing to work across the complete model development process, including data collection, data cleaning, annotation, model training, testing, evaluation, and preparation for deployment. The candidate should be a fast learner, comfortable working with technical tools, and committed to producing accurate datasets and reliable computer vision models.
<p>As a frontend engineer, you’ll work at the intersection of powerful systems and real users, turning complex capabilities like AI-driven features, real-time data, and advanced services into intuitive, responsive, and polished user experiences.
Your day-to-day might range from building scalable UI architecture and refining design systems to integrating interactive elements such as chat interfaces, dashboards, and intelligent workflows, always with a strong focus on performance, usability, and clarity. If you enjoy translating complex ideas into simple, elegant, and production-ready interfaces while collaborating closely with designers and backend engineers, you’ll feel right at home here.
Responsibilities:
• Own frontend technical direction across major product areas.
• Define scalable architecture, standards, and quality frameworks.
• Lead ambiguous, high-impact initiatives from design to production.
• Drive decisions across performance, reliability, accessibility, and maintainability.
• Build shared foundations that improve engineering velocity.
• Set the bar through architecture reviews, testing strategy, and production readiness.
• Identify systemic risks and drive technical improvements.
• Ensure frontend systems support scale, resilience, and long-term growth.
• Recommended hands-on experience with at least one frontend framework (i.e. Next.js, Vue.js, etc.).
• Mentor rising developers, providing guidance and support.
• Foster a collaborative team environment.
• Influence engineering, product, design, and platform strategy.</p><p>Required Qualifications:
- Strong understanding of programming fundamentals and web technologies. Good problem-solving and analytical thinking skills. Ability to work effectively in a team and communicate clearly. Eagerness to learn new technologies and adapt to changing requirements. Good attention to detail, time management, and commitment to delivering high-quality work.
- Saudi National who is holding Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related field.</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. <br><br>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.<br><br>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br><br>What We Do<br><br>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.<br><br>About The Role<br><br>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 Open Router alongside your own resourceful approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, Open Router) 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 Java Script-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<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>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.<br><br>How To Get Started<br><br>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.<br><br>Requirements<br><br>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 (Beautiful Soup, 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 Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Benefits<br><br>Why this freelance opportunity might be a great fit for you? <br><br>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
Intelie is an operational-AI software company best known for its flagship platform, Intelie LIVE®, which combines real-time analytics, predictive modeling, automation, and visual dashboards to help industrial operations transform system and sensor data into actionable insights. Used globally across sectors such as oil & gas, mining, logistics and food processing, the platform powers the operations of some of the world’s largest companies.<br>We are looking for an O&G Resident Engineer – AI Solutions to act as the bridge between advanced data/AI technologies and real-world operations in hydraulic Fracturing and Completions. This role combines deep field operational expertise with customer engagement and digital solution delivery, ensuring that AI-driven insights translate into measurable performance improvements in the field. You will work closely with customers in KSA (Dammam), partnering with engineering, operations, and technical teams to drive adoption, optimization, and continuous value delivery of Intelie’s real-time analytics platform.<br>Job Responsibilities<br>Customer Engagement & Value Delivery Serve as the primary technical advisor for clients, ensuring successful adoption of AI-powered solutions in frac and completions operations Build strong relationships with field engineers, ops managers, and technical stakeholders Translate customer challenges into data-driven use cases and solutions Drive measurable outcomes such as efficiency gains, cost reduction, and risk mitigation Operational SME (Frac & Completions) Apply hands-on expertise in hydraulic fracturing and completions to contextualize data insights Support configuration and tuning of analytics models based on operational realities Validate outputs and ensure alignment with field conditions, KPIs, and best practices Act as a trusted voice connecting domain knowledge with digital solutions AI & Digital Solution Enablement Support deployment and continuous improvement of AI-driven applications and real-time analytics Collaborate with product and data teams to refine models, alerts, and workflows Identify opportunities to expand use cases and increase platform footprint within accounts Provide feedback loops to enhance product capabilities and usability Field Integration & Change Management Facilitate adoption of new technologies within customer workflows and decision processes Train end users and promote best practices for data-driven operations Act as a change agent, helping teams transition from traditional monitoring to AI-assisted decision-making Continuous Improvement & Innovation Identify new business opportunities based on operational gaps and emerging needs Contribute to playbooks, use cases, and repeatable deployment strategies Support internal teams with field insights, market trends, and competitive intelligence<br>Education, Knowledge, Hard Skills & Abilities Domain Expertise Strong experience in hydraulic fracturing and completions operations (field or engineering roles) Proven ability in customer-facing roles (technical support, field engineering, consulting, or similar) Solid understanding of operational KPIs, workflows, and challenges in O&G Experience working with real-time data, monitoring systems, or digital oilfield technologies Strong communication skills with ability to translate technical concepts into business value Fluent English<br>Bonus Points<br>Arabic speaking is desirable Exposure to data analytics, AI/ML applications, or digital transformation initiatives Experience with Saa S platforms or industrial software solutions Background in production optimization, drilling analytics, or completions diagnostics Experience in cross-functional collaboration with product and engineering teams<br>Soft Skills Strong communication and stakeholder management Customer-centric mindset Problem-solving and critical thinking Ability to operate in multicultural environments High ownership and accountability Curiosity and continuous learning mindset
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are seeking a skilled DevSecOps / Sovereign Cloud Engineer with 5-10 years of experience to design, operate, and secure regulated cloud environments across AWS and GCP. The role combines cloud operations, security engineering, and SRE practices, including Kubernetes management, Infrastructure as Code (Terraform), CI/CD automation (Git/GitLab), and secrets management (HashiCorp Vault). The ideal candidate will drive security incident response, platform reliability, observability (Datadog), and 24x7 incident management while embedding security-by-design principles, automation-first practices, and continuous improvement into sovereign cloud platforms. Strong expertise in cloud security, networking fundamentals, compliance-driven environments, and cross-functional incident leadership is essential.</p><p>A week in the life of an DevSecOps Engineer:</p><ul><li>Deploy, manage and maintain the organization s Sovereign Cloud strategy, ensuring compliance with regulatory and data residency requirements on AWS/GCP public cloud.</li><li>Managing and operating Kubernetes clusters including upgrades, scaling, and workload optimization.</li><li>Security Incident Response & Risk Mitigation: Investigate, analyze, and remediate cloud security incidents, proactively identifying and mitigating vulnerabilities within AWS environments.</li><li>Secure Cloud Strategy & Continuous Improvement: Support and enhance the organization s AWS cloud strategy by embedding security best practices and continuously improving the cloud security posture.</li><li>Security Automation & DevSecOps Enablement: Implement and tune security tools, automate policy-driven responses, and advocate DevSecOps practices to ensure secure-by-design cloud operations.</li><li>Implementing and managing Infrastructure as Code (Terraform) to provision, modify, and secure cloud resources.</li><li>Maintaining and optimizing CI/CD pipelines using Git/GitLab, ensuring secure and automated deployments.</li><li>Managing secrets and secure access using HashiCorp Vault, including token lifecycle, access policies, and secrets rotation.</li><li>Troubleshooting complex infrastructure, networking, container, and performance issues across distributed systems.</li><li>Observability & Reliability Engineering: Monitor system health and performance using Datadog, define and manage SLIs/SLOs, and drive continuous reliability improvements aligned with SRE principles.</li><li>Incident Management & Operational Governance: Manage 24x7 alerting and incident response through PagerDuty, perform root cause analysis (RCA), and actively contribute to incident, problem, and change management processes.</li><li>Cloud Security & Performance Optimization: Conduct proactive system hardening, vulnerability remediation, performance tuning, and capacity planning across cloud environments.</li><li>Automation & Continuous Improvement: Develop automation using Python/Bash/Terraform/Ansible to reduce manual effort, improve operational efficiency, and strengthen platform resilience.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>4 5 years of hands-on experience in DevSecOps, SRE roles.</li><li>Proven hands-on expertise managing Kubernetes clusters</li><li>Experience with Terraform (IaC) Deployment, Git/Gitlab for CI/CD and version control for best practices</li><li>Experience working with HashiCorp Vault, Terraform, Datadog, Pagerduty, Confluence etc</li><li>Strong understanding of Cloud Security principles (IAM, encryption, network security, container security, vulnerability management).</li><li>Experience in incident management, change management, and root cause analysis processes.</li><li>SRE & Automation Expertise: Strong understanding of SRE principles (SLIs, SLOs, error budgets, reliability metrics) with hands-on scripting experience in Python and/or Bash to drive automation-first practices.</li><li>Networking & Compliance Knowledge: Solid grasp of networking fundamentals (TCP/IP, DNS, load balancing, firewalls, VPNs, private endpoints) with experience or exposure to regulated and compliance-driven environments.</li><li>Leads incident bridges during P1/P2 outages, coordinating cross-functional teams and driving timely resolution with clear RCA.</li><li>Maintains a strong customer and business-focused mindset while prioritizing tasks.</li><li>Cloud certifications in a plus</li><li>Linux, Kubernets, Terraform, Ansible, Google Cloud knowledge is mandatory.</li></ul><p></p></section>
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<p><b>Job Summary : </b></p><p> </p><p>The <b>Fortinet </b>Network<b> Engineer</b> is responsible for architecting, designing, deploying, and testing end-to-end enterprise network, edge security, and SD-WAN solutions centered around the <b>Fortinet Security Fabric</b>. This role requires advanced knowledge and experience in <b>FortiGate Secure SD-WAN</b> with advanced next-generation firewalling (NGFW), zero-trust architecture, and cloud connectivity.</p><p> </p><p>This position converts complex enterprise connectivity and compliance requirements into validated Low-Level Designs (LLDs), automated configuration templates, structured migration cutover plans, and seamless operational handoffs.</p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p><b>Key Responsibilities: </b></p><p><b>1. Architecture & Low-Level Design (LLD)</b></p><ul><li><b>Secure SD-WAN Design:</b> Architect scalable FortiGate Secure SD-WAN topologies across multi-region environments, including Hub-and-Spoke, Full Mesh, and Dynamic Mesh VPN (ADVPN) structures with automated BGP routing.</li><li><b>SLA & Steering Profiles:</b> Design SD-WAN rules, Performance SLAs, link health monitoring probes, and application control steering policies using Dynamic Application Steering to optimize voice, SaaS, and critical business traffic over diverse underlays (DIA, MPLS, 5G/LTE).</li><li><b>Fortinet Security Fabric Integration:</b> Build comprehensive edge and core security layouts incorporating <b>FortiGate NGFWs</b>, <b>FortiManager</b>, <b>FortiAnalyzer</b>, <b>FortiSwitch</b>, and <b>FortiAP</b> (FortiLAN Cloud/Fabric extensions).</li><li><b>Underlay & Overlay Integration:</b> Standardize complex BGP (iBGP/eBGP), OSPF, VRF, NAT, and IPsec tunnel architectures integrating SD-WAN overlays with existing enterprise data centers, core switching backbones, and legacy WANs.</li><li><b>Design Documentation:</b> Develop complete High-Level Designs (HLDs), Low-Level Designs (LLDs), IP/VLAN schemes, network topology diagrams , and Bill of Materials (BOMs).</li></ul><p><b>2. Staging, Migration, & Hands-On Implementation</b></p><ul><li><b>Deployment Engineering:</b> Configure, stage, and deploy physical and virtual FortiGate appliances utilizing <b>FortiManager</b> for centralized policy management, device mapping, and revision tracking.</li><li><b>Migration Execution:</b> Author detailed Method of Procedure (MOP) documents, cutover playbooks, rollback strategies, and maintenance window schedules for migrating legacy firewalls and WAN circuits to Fortinet Secure SD-WAN.</li><li><b>Hybrid & Multi-Cloud Connectivity:</b> Implement secure cloud edge connectivity, deploying virtual FortiGate instances (FortiGate-VM) in Azure using Cloud On-Ramp methodologies and Transit Gateways.</li><li><b>LAN/WLAN Integration:</b> Configure FortiSwitch and FortiAP deployments using FortiLink to deliver unified, single-pane-of-glass management through FortiGate controllers.</li></ul><p><b>3. Automation & Deployment Standardization</b></p><ul><li><b>Template Standardization:</b> Build and maintain standardized CLI scripts, FortiManager Meta-Fields, Normalized Interfaces, and Jinja2 templates to enable zero-touch provisioning (ZTP) for global site rollouts.</li><li><b>Infrastructure as Code (IaC):</b> Automate policy pushes, object creation, and compliance checks using Python, Ansible, or Terraform (FortiOS/FortiManager </li></ul><p><br></p></div>
Job Summary<br><br>We are seeking an experienced Senior Microservices Support Engineer to lead the production support and operational excellence of mission-critical microservices applications. The role is part of a 24x7 support organization, requiring participation in rotating shifts and on-call coverage to ensure high availability, stability, and rapid incident resolution for enterprise systems. The ideal candidate will possess deep expertise in Java-based microservices, Open Shift, troubleshooting complex production issues, monitoring, and Dev Ops practices.<br><br>Key Responsibilities<br><br> Lead Level 2/Level 3 production support for enterprise microservices applications. Act as the technical lead during production incidents, driving issue resolution and coordinating with development, infrastructure, and Dev Ops teams. Perform advanced troubleshooting and root cause analysis for application, middleware, infrastructure, and performance-related issues. Monitor production systems proactively to identify risks, performance degradation, and potential outages. Support application deployments, release management, rollbacks, and environment readiness within Open Shift. Ensure compliance with SLAs by managing incidents, service requests, and problem tickets effectively. Analyze application logs, JVM behavior, container health, and infrastructure metrics to resolve complex issues. Drive continuous service improvements by identifying recurring issues and implementing permanent solutions. Develop and maintain operational runbooks, knowledge base articles, and support documentation. Mentor and provide technical guidance to junior support engineers. Collaborate with development teams to improve application reliability, observability, and supportability. Participate in release planning, production readiness reviews, and post-implementation validation. Support disaster recovery activities, failover testing, and business continuity initiatives. Participate in an on-call support rotation for critical production systems<br><br>Requirements<br><br>Required Technical Skills<br><br>Technology Stack<br><br> Java Quarkus Spring Boot Redis Message Queue (Rabbit MQ, IBM MQ, Kafka, or similar) <br><br>Core Technical Competencies<br><br> Expert-level troubleshooting of distributed microservices applications Strong knowledge of microservices architecture and REST APIs Production monitoring and application performance analysis Root Cause Analysis (RCA) and Problem Management Dev Ops practices and CI/CD support Containerized application support Linux administration and shell scripting Log analysis and debugging across distributed systems <br><br>Hosting Environment<br><br> Red Hat Open Shift Container Platform (OCP) <br><br>Preferred Experience<br><br> 6-10+ years of experience in Application Support, Production Support, or Site Reliability Engineering (SRE). Minimum 4+ years supporting Java-based microservices in enterprise production environments. Hands-on experience with Open Shift or Kubernetes platforms. Experience supporting highly available, mission-critical applications. Strong understanding of distributed systems, caching strategies, and messaging platforms. Experience working within Agile and Dev Ops environments. Familiarity with cloud platforms (AWS, Azure, or GCP) is an advantage
Company Description Rasēd is a cutting-edge fraud detection and prevention solution designed for financial institutions, fintechs, and payment providers. It combines AI, device intelligence, and behavioral biometrics to detect and prevent fraud in real time while ensuring a seamless user experience. The platform also includes advanced analytics for post-incident investigation, compliance, and automated case management, enabling faster, smarter, and more secure fraud management.<br>Location: Riyadh, Saudi Arabia (Onsite) Employment Type: Full-time<br>Role Purpose The Software Engineer will design, build, and maintain scalable services and platforms that power Rasēd’s fraud‑detection, transaction‑monitoring, and risk‑decisioning products in a regulated financial environment. <br>Key Responsabilities● Design, develop, and maintain backend services and APIs that power Rasēd’s fraud‑detection, transaction‑monitoring, and risk‑scoring workflows. ● Implement reliable, testable, and scalable code (e.g. Java, . NET) following modern software development practices and code review standards. ● Work closely with data science, product, and compliance teams to translate fraud models, AML/KYC rules, and risk policies into production‑ready services and decision engines. ● Design and maintain data architectures (data pipelines, databases, messaging systems) to support high‑volume financial transactions and fraud analytics. ● Integrate third‑party AML/KYC, sanctions screening, and fraud platforms or internal risk tools into Rasēd’s ecosystem. ● Build monitoring, logging, and alerting for fraud‑related services to ensure high availability, observability, and fast incident response. ● Participate in code reviews, technical design discussions, and architecture decisions, contributing to continuous improvement of Rasēd’s platform.● Collaborate with clients and internal stakeholders to understand requirements, deliver technical solutions, and support deployments in production environments. ● Stay current with new technologies in fraud detection, AI/ML, and software engineering, and propose improvements to Rasēd’s products and engineering practices. <br>Qualifications & Competencies● Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field ● 2–5+ years of professional software development experience Strong programming skills in at least one modern backend language (e.g., Java, . NET), with experience building RESTful APIs or microservices. ● Experience with relational and/or NoSQL databases, data modeling, and performance optimization for high‑volume systems. ● Hands‑on experience with cloud platforms (AWS, Azure, GCP or OCI), containers (Docker), and orchestration tools (Kubernetes), plus CI/CD pipelines. ● Familiarity with building data‑driven or AI‑enabled applications (rules engines, scoring systems, anomaly detection) is highly desirable in fraud and risk contexts. ● Solid understanding of software engineering best practices: testing, version control (Git), documentation, and secure coding.
Position Summary:We are seeking a highly motivated and technically proficient Aftermarket Spare Parts Sales Engineer to join our team. The ideal candidate will combine deep technical product knowledge with strategic account management to drive revenue and maximize customer satisfaction within our inter-company channel. This role is a critical link between our customer and our internal operations, ensuring seamless execution from sales strategy to order fulfillment.<br>Responsibilities: What you'll do Strategic sales and account growth:Develop and execute strategic sales plans to meet and exceed ambitious revenue and growth targets for the assigned channel. Cultivate and maintain strong, long-lasting relationships with key accounts, acting as the primary technical and commercial point of contact. Utilize Salesforce (SFDC) data to analyze sales pipelines, forecast demand, and maximize sales opportunities. Implement pricing strategies in line with the Line of Business (LOB) Annual Operating Plan (AOP), accounting for factory costs (MLP/Ex-Works), shipping, and customs duties. Operational collaboration:Collaborate with inter-company account operations to align sales forecasts with stock planning and inventory management, ensuring optimal product availability. Provide essential consultative support to the service sales team regarding pricing, discounts, key selling points, and customer engagement strategies. Technical expertise and customer support:Provide technical support and product expertise, assisting customers in troubleshooting issues and recommending optimal spare parts, upgrades, or service solutions. Analyze lost sales opportunities to identify root causes and develop strategies to prevent recurrence, driving continuous improvement. Market and customer analysis:Gather and interpret customer feedback and market intelligence to inform sales strategies and identify new product opportunities. Continuous improvement:Identify and implement solutions to increase sales efficiency, improve customer satisfaction, and streamline internal processes.<br>Qualifications: What you'll bring Required qualifications:Bachelor's degree in Engineering, Business, or a related technical field, or equivalent work experience. Minimum of 3–5 years of proven sales experience in a manufacturing or industrial environment, with a strong emphasis on aftermarket parts sales. Demonstrable experience working with Customer Relationship Management (CRM) software, preferably Salesforce (SFDC). Strong technical and mechanical aptitude, with the ability to understand and articulate complex product details. Excellent communication, presentation, and interpersonal skills. Strong problem-solving, analytical, and negotiation abilities. Preferred qualifications:Experience in the specific industry (e.g., HVAC, automotive, industrial machinery, etc..). Experience in inter-company accounts operations or supply chain management. A proven track record of managing and growing a portfolio of key accounts.
Job Purpose<br>We are seeking a Technical Presales Engineer to design and position scalable Digital Experience Platform (DXP) solutions that support enterprise digital transformation initiatives. The role is responsible for developing solution architectures, technical proposals, demonstrations, proof of concepts (PoCs), and reusable presales assets that strengthen client engagements and improve win rates.<br>Key Accountabilities<br>Solution Architecture and Technical Design<br>Develop high-level solution architectures, technical blueprints, integration views, and deployment designs. Translate business and functional requirements into feasible and scalable technical solutions. Assess solution feasibility, platform capabilities, integration requirements, and delivery feasibility. Communicate complex technical concepts through clear, client-focused presentations and solution narratives.<br>Technical Presales and Proposal Support<br>Provide technical input for RFPs, RFIs, proposals, and Statements of Work. Define solution scope, assumptions, dependencies, technical risks, and implementation considerations. Support effort estimation, solution sizing, and indicative cost modeling. Contribute to the quality, consistency, and accuracy of technical proposal content.<br>Demonstrations and Technical Assets<br>Develop technical demonstrations and proofs of concept to support solution validation. Maintain demonstration environments and reusable presales assets. Build and enhance architecture patterns, diagrams, solution templates, technical content, and use cases. Contribute to the continuous improvement of the presales knowledge base and solution library.<br>DXP Solutioning and Platform Positioning<br>Support the design and positioning of DXP, CMS, portal, and customer experience solutions. Translate customer experience requirements into suitable solution components, including content management, personalization, search, analytics, multilingual capabilities, accessibility, and omnichannel delivery. Recommend suitable deployment models, including Saa S, hosted, hybrid, and on-premises environments. Support modernization initiatives such as platform migration, upgrades, portal transformation, composable architecture, and headless solutions.<br>Stakeholder Collaboration<br>Collaborate with sales, presales, architecture, design, delivery, and technology partner teams throughout the presales process. Participate in discovery sessions, client workshops, technical presentations, and solution demonstrations.<br>Minimum Qualifications<br>Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Engineering, or a related field.<br>Minimum Experience<br>+5 years of experience in Technical Presales, Solution Engineering, Solution Architecture, or Implementation Consulting. Experience delivering enterprise DXP, CMS, portal, web platform, or customer experience solutions. Experience working with at least one DXP or CMS platform, such as Sitecore, Optimizely, Progress Sitefinity, Liferay, or a comparable platform. Experience supporting enterprise RFPs, RFIs, proposals, technical demonstrations, and proofs of concept.<br>Job-Specific Skills<br>Technical Presales Solution Architecture Digital Experience Platforms (DXP) Content Management Systems (CMS) Technical Proposal Writing RFP and RFI Responses Proof of Concept (PoC) Technical Demonstrations Integration Architecture API Integration Stakeholder Management Client Presentations Sitecore Optimizely Progress Sitefinity Liferay
About the Role As a Principal Software Engineer with a Frontend/UI-UX specialty, you will define interaction architecture and deliver high-assurance, mission-critical digital platforms, setting the technical direction for the team. Operating in an Agile environment, you'll solve complex usability challenges related to real-time data synchronization, cryptographic state visualization, and secure content handling. This role blends expert proficiency in design tooling (Figma) with robust front-end engineering (Vue.js, Type Script), combining deep UX ownership with production-level UI implementation. Responsibilities Architect user flows for applications requiring real-time state updates and low-latency user feedback Design unobtrusive visual indicators for data integrity, encryption status, and content protection layers Independently develop pixel-perfect, responsive components using Vue.js and Type Script Implement complex client-side logic for dynamic content rendering and secure data presentation Ensure seamless integration with RESTful APIs and real-time Web Sockets for live telemetry data Own and expand the internal Design System (icons, typography, atomic components) across web, mobile, and desktop Create high-fidelity interactive prototypes in Figma to validate complex workflows and state transitions with engineering stakeholders Transform abstract security concepts (identity verification, data classification, regulatory compliance) into clear, human-readable interface elements Champion inclusive design, conducting accessibility audits to guarantee usability across diverse enterprise and government demographics Requirements Bachelor's or Master's degree in Computer Science, Design, Human-Computer Interaction (HCI), or a related field8+ years of professional experience in UI/UX design and front-end engineering Proven ability to architect, build, and deploy complex, stateful web applications (real-time dashboards, high-density data-processing interfaces) at scale Clear track record of translating UX requirements into production-ready code within structured Agile/Scrum workflows Highly experienced in secure API integration and managing complex client-side state logic Strong proficiency in HTML5, CSS3, and Type Script, including secure integration of RESTful APIs and Web Sockets Mandatory professional experience with the Vue.js ecosystem (Pinia, Vue Router) Expert proficiency in Figma (Auto Layout, Components, Prototyping) Comprehensive understanding of WCAG 2.1 AA guidelines and ARIA roles Proven ability to articulate and defend complex design decisions to engineering and product stakeholders in fluent English Deep commitment to representing the "voice of the user" in technical discussions Desirable Certifications Google UX Design Professional Certificate Certified Professional in Accessibility Core Competencies (CPACC) UX Certification from Nielsen Norman Group (NN/g)
We are looking for AI Engineer to join Ninja and play a foundational role in building our AI function. This position is focused on designing, developing, and deploying production-ready agentic AI systems that deliver real business impact. You will work on customer care automation, knowledge management pipelines, and intelligent targeting and decision-making engines, ensuring scalable, reliable, and high-performance AI solutions. This is a hands-on engineering role for someone who enjoys shipping production systems rather than building experimental prototypes, and who is excited to shape the future of AI at Ninja.<br><br>Requirements<br><br>Strong Python (3.11+), with production experience in Fast API services Agentic workflow design: Has designed or built multi-step agentic workflows, and understands the tradeoffs between deterministic state machines / graphs and open-ended ReAct-style agents. LLM integration: Has built directly against the Anthropic and/or Open AI SDKs in production. Comfortableworking without heavy abstraction layers Lang Graph experience is a plus Retrieval judgment: Understands when structured/keyed database lookups beat vector search, and hasimplemented RAG when it's actually the right tool Data layer: Comfortable with Postgre SQL, SQLAlchemy 2.0 (async), Alembic migrations, pgvector, and Redisfor session/state management Production discipline: Has shipped systems with real guardrails: cost controls, latency budgets,escalation/fallback paths, and evaluation loops Familiarity with an LLM observabilitytool (Langfuse, Lang Smith, Helicone, or equivalent) is expected Prompt engineering & evals: Practical experience writing, testing, and iterating on prompts, including building orusing eval frameworks to catch regressions MCP / tool-serving: Exposure to MCP (Model Context Protocol) servers or similar tool-exposure patterns for AI assistants is a strong plus Multilingual (nice-to-have): Experience with Arabic or other non-English LLM applications (dialect handling,multilingual evals) Public Git Hub required: A public Git Hub profile with real, browsable work — personal projects, open-source contributions, or code samples they can point to. Solid hands-on experience: Genuine hands-on builder, not someone who has only architected or managed They should be able to walk through code they personally wrote line-by-line, including decisions and mistakes Ownership and proactivity. This is a founding role with minimal oversight. We need someone who identifies problems and drives them to done without being told step-by-step what to do Riyadh-based (or hybrid). Based in Riyadh, or willing to work hybrid with regular in-person presence in Riyadh.
Job Summary<br>We are seeking a dynamic and technically skilled Pre-Sales Engineer to drive solution design, customer engagement, and business growth across the Kingdom of Saudi Arabia. The role focuses on delivering end-to-end presales support for enterprise networking solutions, including HPE Aruba, Cisco, and Huawei.<br>The ideal candidate will work closely with sales, vendors, and partners to understand customer requirements, design scalable and cost-effective solutions, and support the full sales cycle—from opportunity identification and technical presentations to proposal development and deal closure.<br>This position requires strong expertise in networking technologies, excellent communication skills, and the ability to translate complex technical requirements into business-driven solutions.<br>Key Responsibilities Act as a trusted technical advisor to customers, partners, and internal sales teams across networking solutions (Aruba, Cisco, Huawei) Lead solution design, sizing, and Bill of Quantities (BoQ) preparation aligned with customer requirements Support partner enablement, product positioning, and technical training to strengthen market capabilities Collaborate closely with vendor presales teams to develop competitive and tailored solutions Engage customers to gather requirements, conduct technical assessments, and propose optimized architectures Prepare and respond to RFIs, RFPs, and RFQs with high-quality technical and commercial documentation Develop proposals, quotations, and P&L analysis ensuring profitability and compliance with company standards Work closely with the Sales Director and Business Unit Head to drive pipeline growth, conversion, and profitability Deliver technical presentations, demos, and solution workshops to customers and partners Support account penetration strategies and identify upsell/cross-sell opportunities Maintain strong relationships with key stakeholders and ensure high levels of customer satisfaction Provide technical support during the sales cycle closure phase, ensuring successful deal execution<br>Required Skills & Expertise Strong experience in Networking Technologies:Routing & Switching Wireless (Wi-Fi) solutions Network Security IP Telephony / Collaboration Hands-on knowledge of HPE Aruba, Cisco, and Huawei solutions Solid understanding of IT Infrastructure and Low Current Systems Experience in solution design, BoQ creation, and technical proposal writing Strong presentation, communication, and stakeholder management skills Ability to translate customer requirements into scalable, cost-effective solutions Commercial awareness with understanding of pricing, margins, and deal structuring<br>Qualifications & Experience Bachelor’s Degree in IT, Computer Science, Engineering, or a related field Minimum 2+ years of experience in Pre-Sales Engineering or Technical Sales Proven experience in the KSA market Certifications (preferred):Cisco (CCNA / CCNP / CCDP or equivalent) Aruba / Huawei certifications are a plus Fluent in Arabic and English (written and spoken)
Congratulations, you have taken the first step towards bagging a career-defining role. Join the team of superheroes that safeguard data wherever it goes.<br>About Seclore:Seclore is the Data Security Intelligence company for the era of enterprise AI. Seclore helps organisations secure the data that powers how people and AI work, enabling them to adopt AI safely without losing control of sensitive information. By securing data itself and ensuring protection travels with it wherever it moves, Seclore enables trust, control, and resilience across the modern enterprise. Seclore serves more than 500 global enterprises and government organisations across over 40 countries. For more information, visit www.seclore.com.<br>You would love our tribe:If you are a risk-taker, innovator, and fearless problem solver who loves solving challenges of data security, then this is the place for you!<br>A sneak peek into the role:At Seclore, we are looking for a sales-driven, highly energetic Application Support Engineer with good relationship-building skills and communication to join our team in Riyadh. We are a passionate team with diverse backgrounds and experiences, all driven to solve complex business problems with simple, intuitive solutions. We appreciate people who are fueled by passion, curiosity, and the hunger to learn and grow. This position is for individuals with experience in Application Support and strong customer relationship skills, working in a super-agile environment. Seclore is a place where innovation is nurtured, and we continuously push the boundaries of innovation to find new ways to add value to customers and stakeholders.<br>Here's what you will get to explore:Ability to understand and interpret the complex architecture of the client’s environment and based on the understanding creates the design and architecture document for implementation of Seclore product. Strong knowledge of web server and application servers (for example Apache, Tomcat, IIS). Detailed knowledge about the configuration parameters. Should have a good understanding and working knowledge of SSL, Exchange, DNS, understanding basic firewall concepts, DMZ, proxy, reverse proxy. Proactive thinking with a “can do” attitude. A team player with excellent communication skills, both verbal and written. Analytical mind with problem-solving abilities. Customer service orientation. Preferred Knowledge in OS (Server OS, Windows 10, Linux). Industry certifications like MCSE, MCP, RHEL Certifications: MCSE, MCP. Knowledge of computer security procedures and protocols. Have a good understanding and working knowledge of Databases like Oracle/MSSQL, LDAP. Arabic Speaker.<br>Let’s build the future of data security at Seclore together.
Job Summary<br>We are seeking a dynamic and technically skilled Pre-Sales Engineer to drive solution design, customer engagement, and business growth across the Kingdom of Saudi Arabia. The role focuses on delivering end-to-end presales support for enterprise networking solutions, including HPE Aruba, Cisco, and Huawei.<br>The ideal candidate will work closely with sales, vendors, and partners to understand customer requirements, design scalable and cost-effective solutions, and support the full sales cycle—from opportunity identification and technical presentations to proposal development and deal closure.<br>This position requires strong expertise in networking technologies, excellent communication skills, and the ability to translate complex technical requirements into business-driven solutions.<br>Key Responsibilities Act as a trusted technical advisor to customers, partners, and internal sales teams across networking solutions (Aruba, Cisco, Huawei) Lead solution design, sizing, and Bill of Quantities (BoQ) preparation aligned with customer requirements Support partner enablement, product positioning, and technical training to strengthen market capabilities Collaborate closely with vendor presales teams to develop competitive and tailored solutions Engage customers to gather requirements, conduct technical assessments, and propose optimized architectures Prepare and respond to RFIs, RFPs, and RFQs with high-quality technical and commercial documentation Develop proposals, quotations, and P&L analysis ensuring profitability and compliance with company standards Work closely with the Sales Director and Business Unit Head to drive pipeline growth, conversion, and profitability Deliver technical presentations, demos, and solution workshops to customers and partners Support account penetration strategies and identify upsell/cross-sell opportunities Maintain strong relationships with key stakeholders and ensure high levels of customer satisfaction Provide technical support during the sales cycle closure phase, ensuring successful deal execution<br>Required Skills & Expertise Strong experience in Networking Technologies:Routing & Switching Wireless (Wi-Fi) solutions Network Security IP Telephony / Collaboration Hands-on knowledge of HPE Aruba, Cisco, and Huawei solutions Solid understanding of IT Infrastructure and Low Current Systems Experience in solution design, BoQ creation, and technical proposal writing Strong presentation, communication, and stakeholder management skills Ability to translate customer requirements into scalable, cost-effective solutions Commercial awareness with understanding of pricing, margins, and deal structuring<br>Qualifications & Experience Bachelor’s Degree in IT, Computer Science, Engineering, or a related field Minimum 2+ years of experience in Pre-Sales Engineering or Technical Sales Proven experience in the KSA market Certifications (preferred):Cisco (CCNA / CCNP / CCDP or equivalent) Aruba / Huawei certifications are a plus Fluent in Arabic and English (written and spoken)
<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 looking for an amazingly talented Senior Cost Engineer to join our team! The Senior Cost Engineer will be responsible for managing and monitoring project cost control, forecasting, budgeting, commitments, expenditure, change management, and cost reporting across the project. The role will provide accurate and timely cost information to support project management and ensure that the project is delivered within the approved budget and financial objectives. The position will coordinate closely with Planning, Commercial, Contracts, Procurement, Engineering, Construction, Finance, and Project Management teams to ensure effective integration between cost, schedule, progress, change, and commercial performance.</p><p>What You'll Be Doing:</p><ul><li>Manage and monitor project cost control activities across assigned project packages.</li><li>Establish and maintain the Project Cost Management System, procedures, and reporting requirements.</li><li>Develop and maintain the approved project budget and cost baseline.</li><li>Establish appropriate Cost Breakdown Structure (CBS), Work Breakdown Structure (WBS), and cost coding structures.</li><li>Monitor project commitments, actual costs, accruals, forecasts, and remaining budgets.</li><li>Review and validate contractor and consultant cost data and payment information.</li><li>Monitor Actual Cost (AC), Planned Value (PV), Earned Value (EV), and Estimate at Completion (EAC).</li><li>Prepare and maintain detailed cost forecasts and identify potential cost overruns at an early stage.</li><li>Analyze cost trends and provide recommendations for corrective and preventive actions.</li><li>Coordinate with Planning to ensure alignment between project progress, schedule, and cost performance.</li><li>Develop and maintain cost-loaded schedules and ensure proper integration between cost and planning systems.</li><li>Review physical progress and ensure that reported progress is appropriately reflected in cost and earned value calculations.</li><li>Establish and monitor Rules of Credit / Progress Measurement for relevant project activities.</li><li>Review contractor applications for payment and verify quantities and progress against approved records.</li><li>Monitor commitments and purchase orders against approved budgets.</li><li>Track procurement and subcontract commitments and assess their impact on the overall project forecast.</li><li>Maintain and monitor contingency, management reserve, provisional sums, and allowances, where applicable.</li><li>Review and assess cost implications of design changes, variations, scope changes, and technical instructions.</li><li>Maintain the Change Control Register and ensure approved changes are properly incorporated into the cost baseline.</li><li>Provide cost impact assessments for potential and approved variations.</li><li>Coordinate with Commercial and Contracts teams regarding variations, claims, EOT-related costs, and contractual changes.</li><li>Support the assessment and validation of contractor and subcontractor claims.</li><li>Monitor trends, potential changes, and emerging cost risks and ensure appropriate early warning is provided.</li><li>Prepare detailed monthly cost reports, forecasts, dashboards, and management reports.</li><li>Provide senior management with clear analysis of budget status, commitments, expenditure, forecast, and cost risks.</li><li>Prepare cost performance indicators and trend analysis.</li><li>Monitor Cost Variance (CV), Schedule Variance (SV), CPI, SPI, and other applicable performance indicators.</li><li>Identify unfavorable cost trends and develop recovery or mitigation recommendations.</li><li>Coordinate with Finance to reconcile project costs, accruals, invoices, and financial records.</li><li>Review monthly accruals and ensure accurate forecasting of outstanding liabilities.</li><li>Monitor cash flow requirements and provide cost inputs to project cash flow forecasts.</li><li>Review subcontractor and supplier commitments and payment status.</li><li>Monitor cost exposure associated with long-lead items and procurement packages.</li><li>Participate in budget reviews, cost workshops, and project performance meetings.</li><li>Provide cost inputs to project risk assessments and quantify potential cost exposure where applicable.</li><li>Support quantitative cost risk analysis and contingency assessments.</li><li>Review cost implications of project risks and opportunities.</li><li>Ensure all cost data is properly documented, traceable, and supported by objective records.</li><li>Maintain accurate cost databases, registers, logs, and supporting documentation.</li><li>Support project audits and provide required cost records and supporting evidence.</li><li>Monitor cost performance across multiple contractors, packages, disciplines, and workstreams.</li><li>Provide guidance to Cost Engineers and junior project controls personnel.</li><li>Review cost reports and deliverables prepared by junior team members.</li><li>Develop and improve cost control procedures, reporting formats, and analytical tools.</li><li>Support implementation of digital cost management and reporting solutions.</li><li>Ensure effective integration between Cost Control, Planning, Commercial, Procurement, and Risk Management functions.</li><li>Support project closeout by ensuring final cost records, commitments, accruals, and forecasts are properly reconciled.</li></ul><p>What Required Skills You'll Bring:</p><ul><li>Bachelor s degree in Engineering, Quantity Surveying, Construction Management, Finance, or a related discipline.</li><li>10+ years of relevant experience in cost engineering, cost control, project controls, or commercial management.</li><li>Proven experience on major airport, infrastructure, transportation, civil, or large-scale construction projects.</li><li>Strong experience managing cost control for complex, multidisciplinary projects.</li><li>Good understanding of construction contracts, procurement, variations, claims, and commercial processes.</li><li>Experience working with contractors, consultants, clients, and multidisciplinary project teams.</li><li>AACE Certified Cost Professional (CCP) is highly desirable.</li><li>AACE Certified Cost Technician (CCT) is an advantage.</li><li><br></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s degree in Engineering, Quantity Surveying, Construction Management, Finance, or a related discipline.</li><li>10+ years of relevant experience in cost engineering, cost control, project controls, or commercial management.</li><li>Proven experience on major airport, infrastructure, transportation, civil, or large-scale construction projects.</li><li>Strong experience managing cost control for complex, multidisciplinary projects.</li><li>Good understanding of construction contracts, procurement, variations, claims, and commercial processes.</li><li>Experience working with contractors, consultants, clients, and multidisciplinary project teams.</li><li>AACE Certified Cost Professional (CCP) is highly desirable.</li><li>AACE Certified Cost Technician (CCT) is an advantage.</li><li>PMP certification is preferred.</li><li>PMI-SP / PSP certification is an advantage.</li><li>RICS / MRICS qualification is advantageous for candidates with a quantity surveying/commercial background.</li><li>Earned Value Management certification/training is an advantage.</li></ul><p>Project Cost Control Cost Management Budget Development & Control Cost Baseline Management Cost Forecasting Estimate at Completion (EAC) Actual Cost / Planned Value / Earned Value Earned Value Management (EVM) Cost Variance & Trend Analysis Cost Breakdown Structure (CBS) Work Breakdown Structure (WBS) Commitment Management Accruals & Actual Cost Reconciliation Cash Flow Forecasting Change & Variation Management Cost Impact Assessment Contractor Payment Review Claims & Commercial Support Procurement Cost Management Subcontract Cost Control Risk & Opportunity Cost Analysis Contingency Management Cost Reporting & Dashboards Cost Loaded Schedule Progress Measurement Rules of Credit CPI / SPI Power BI / Data Visualization Advanced MS Excel Primavera P6 / Cost Integration ERP / Cost Management Systems Project Controls Integration</p><p>Strong analytical and numerical capabilities. Excellent attention to detail and data accuracy. Strong understanding of project controls and construction cost management. Excellent communication and stakeholder management skills. Strong commercial awareness and understanding of contractual processes. Ability to identify cost risks and provide practical mitigation strategies. Strong problem-solving and decision-making abilities. Ability to challenge cost and progress data professionally and objectively. Ability to work effectively with Planning, Commercial, Contracts, Procurement, Finance, and Project Management teams. Strong reporting and presentation skills. Ability to manage multiple cost control priorities under demanding project schedules. Proactive approach to cost management and early identification of potential overruns. Ability to mentor and support junior Cost Engineers.</p>
Location: Saudi Arabia Full Time / On-site<br>Experience: 4–7+ years<br>Industry: Banking / Financial Services<br><br>Who are we? <br>Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a presence in India and the UAE. Founded in 2012, our mission has always been to simplify the world’s choices. <br>Today, we’ve evolved into Tangram.ai — a modular, Gen AI-powered platform built for the enterprise. Tangram lets organizations assemble intelligent agents, solutions, and models like building blocks to create, scale, and adapt AI-powered capabilities with speed, security, and precision. It’s not just a platform,it’s the operating layer for Gen AI in the enterprise. <br><br>Role Overview <br><br><br>We are looking for a Forward Deployed AI Engineer to deploy, integrate, optimize, and operationalize enterprise Generative AI platforms within secure, on-premise and air-gapped banking environments. <br>You will work closely with client IT, infrastructure, security, engineering, and AI teams to turn AI platform architectures into reliable, production-ready deployments. <br><br>What You'll Do <br><br><br> Deploy and configure NVIDIA NIMs, LLMs, Data Robot, Graph Databases, and related AI platforms. <br> Install and manage AI workloads on Red Hat Open Shift and Kubernetes environments. <br> Package and deploy container images, dependencies, and LLM model weights in air-gapped environments. <br> Configure and optimize NVIDIA GPU Operator, GPU time-slicing and MIG for AI workloads. <br> Optimize LLM inference performance, including TTFT, throughput, latency and GPU utilization. <br> Build and manage CI/CD and Git Ops pipelines using tools such as Argo CD and Open Shift Pipelines. <br> Develop and maintain Helm charts, Kustomize manifests and Kubernetes configurations. <br> Troubleshoot deployment, infrastructure, networking and performance issues in secure client environments. <br> Work directly with client IT, Security and Infrastructure teams to resolve technical blockers and ensure successful deployments. <br><br>What We're Looking For <br><br><br> 4+ years of experience in Software Engineering, Dev Ops, Platform Engineering or a related field. <br> 2+ years of hands-on experience in MLOps / LLMOps. <br> Strong experience with Red Hat Open Shift and Kubernetes. <br> Hands-on experience with NVIDIA GPUs and NVIDIA GPU Operator. <br> Experience deploying LLMs, NVIDIA NIM, Triton or enterprise AI platforms. <br> Strong understanding of containerization, Docker/OCI images and Kubernetes workloads. <br> Experience with Helm, Kustomize, Kubernetes Operators and Git Ops. <br> Experience with Argo CD, Open Shift Pipelines or similar CI/CD tools. <br> Understanding of air-gapped / disconnected environments and offline software deployment. <br> Good understanding of enterprise authentication and security frameworks such as Active Directory, LDAP, Kerberos and OAuth. <br> Experience with secure secrets management using Hashi Corp Vault, Open Shift Secrets or similar technologies. <br> Strong troubleshooting, communication and client-facing skills. <br><br>Brownie Points <br><br><br> Experience deploying AI platforms in Banking / BFSI or highly regulated environments. <br> Experience working in air-gapped or disconnected data centers. <br> CKA / CKAD certification. <br> Experience with NVIDIA NIM, Triton Inference Server or Data Robot. <br> Experience with Graph Databases such as Neo4j or Arango DB. <br> Experience with GPU performance tuning, MIG and GPU time-slicing. <br> Experience with large-scale LLM inference and RAG deployments.