[ksa] data & ai – senior consultant / associate manager

associate / senior associate - consumer experience, ksa

[ksa] data & ai – senior consultant / associate manager Jobs in Riyadh

associate / senior associate - consumer experience, ksa Jobs in Riyadh

civil engineer (saudi national) Jobs in Riyadh

civil engineer (saudi national)

hr specialist - tamheer

hse engineer (saudi national) Jobs in Riyadh

hse engineer (saudi national)

ml operations customer support engineer staff senior staff level riyadh ksa

Qualcomm

<div>
 <strong>
  Company
  <br/>
  <br/>
 </strong>
 Qualcomm Middle East Information Technology Company LLC
 <br/>
 <br/>
 <strong>
  Job Area
  <br/>
  <br/>
 </strong>
 Engineering Group, Engineering Group &gt; Software Engineering
 <br/>
 <br/>
 <strong>
  General Summary
  <br/>
  <br/>
 </strong>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including intelligent edge devices, next-generation computing platforms, and advanced AI solutions. Qualcomm&rsquo;s leadership in AI, high‑performance compute, and connectivity is driving innovation across cloud, edge, and data center environments - delivering scalable, power‑efficient platforms that power the next generation of intelligent infrastructure.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Qualcomm is seeking a
 <strong>
  Machine Learning Operations &amp; Customer Support Engineer
 </strong>
 within the Customer Engineering team to support strategic customers deploying AI inference workloads on advanced Qualcomm AI inference accelerators. These accelerators utilize Qualcomm's expertise in hardware-accelerated AI to deliver high-performance, energy-efficient generative AI and computer vision inference solutions for modern data centers.
 <br/>
 <br/>
 This is a
 <strong>
  customer-facing, production-critical role
 </strong>
 focused on ensuring maximum system uptime, reliability, and performance, while resolving customer support cases within defined SLAs/KPIs. The role requires deep expertise across ML inference pipelines, systems troubleshooting, and data center operations, working closely with customers, internal engineering, and product teams.
 <br/>
 <br/>
 The ideal candidate will bring a strong foundation in ML model deployment, systems engineering, rack-scale management software, DevOps/MLOps automation, and cross functional collaboration.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <strong>
  Customer Support &amp; SLA Ownership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Act as the primary technical escalation point for customer issues related to AI inference workloads
  </li>
  <li>
   Own end-to-end case management, ensuring resolution within agreed SLAs and KPIs
  </li>
  <li>
   Drive incident response, triage, and root cause analysis (RCA).
  </li>
  <li>
   Provide timely and transparent communication to customers on issue status and resolution
  </li>
  <li>
   Maintain high levels of customer satisfaction and service reliability
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Uptime, Reliability &amp; Operations
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ensure high availability and uptime of customer AI deployments (rack-scale systems)
  </li>
  <li>
   Monitor system health, performance metrics, and workload behavior
  </li>
  <li>
   Implement and manage failover, redundancy, and resiliency mechanisms
  </li>
  <li>
   Proactively identify risks and implement preventative actions
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI Inference Workload Support
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support deployment, optimization, and troubleshooting of ML inference pipelines
  </li>
  <li>
   Debug issues across model, runtime, system, and hardware layers
  </li>
  <li>
   Analyze model performance (latency, throughput, accuracy tradeoffs) in production
  </li>
  <li>
   Support frameworks such as PyTorch, TensorFlow, ONNX, and model conversion flows
  </li>
  <li>
   Assist in model optimization techniques (quantization, batching, compilation, runtime tuning)
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  System &amp; Infrastructure Engineering
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support bare-metal and virtualized environments for AI workloads
  </li>
  <li>
   Troubleshoot issues across Linux OS, drivers, firmware, and networking stack
  </li>
  <li>
   Support deployment and maintenance using Infrastructure as Code (IaC) and automation tools
  </li>
  <li>
   Work with DCIM tools and monitoring systems for infrastructure visibility
  </li>
  <li>
   Coordinate with hardware vendors for accelerator, server, and networking issues
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Monitoring, Observability &amp; Automation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implement and manage monitoring systems (logs, metrics, traces)
  </li>
  <li>
   Build dashboards for uptime, SLA adherence, performance, and utilization
  </li>
  <li>
   Automate repetitive operational tasks using scripts and workflows
  </li>
  <li>
   Establish and enforce runbooks and standard operating procedures (SOPs)
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Cross-Functional Collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with Customer Engineering, Product, Engineering, and Support teams
  </li>
  <li>
   Provide structured feedback to engineering for product improvements and defect resolution
  </li>
  <li>
   Support customer onboarding, deployment readiness, and operational handover
  </li>
  <li>
   Participate in customer reviews, escalations, and technical deep dives
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
  </li>
  <li>
   10&ndash;15+ years of experience in ML operations, systems engineering, or customer support engineering
  </li>
  <li>
   Proven experience in customer-facing technical roles with SLA-driven support models
  </li>
  <li>
   Strong experience with AI/ML inference workloads in production environments
  </li>
  <li>
   Deep understanding of end-to-end ML inference pipelines
  </li>
  <li>
   Hands-on experience with Linux systems, system bring-up, drivers, and debugging tools
  </li>
  <li>
   Strong understanding of AI accelerator architecture and system bottlenecks
  </li>
  <li>
   Experience with model deployment, optimization, and performance tuning
  </li>
  <li>
   Experience with data center operations and rack-scale deployments
  </li>
  <li>
   Familiarity with bare-metal, virtualization, and containerization technologies (Docker, Kubernetes)
  </li>
  <li>
   Knowledge of networking concepts (TCP/IP, RDMA, storage systems)
  </li>
  <li>
   Experience with cloud and hybrid environments
  </li>
  <li>
   Experience with monitoring/observability tools (Prometheus, Grafana, ELK, etc.)
  </li>
  <li>
   Strong skills in incident management, RCA, and production operations
  </li>
  <li>
   Experience defining and tracking SLAs, KPIs, and operational metrics
  </li>
  <li>
   Proficiency in Python, Bash, or similar scripting languages
  </li>
  <li>
   Experience in automation, DevOps, and MLOps tooling
  </li>
  <li>
   Strong problem-solving and diagnostic skills
  </li>
  <li>
   Excellent communication and customer engagement skills
  </li>
  <li>
   Ability to operate in high-pressure, mission-critical environments
  </li>
  <li>
   High attention to detail with a focus on quality, reliability, and accountability
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Qualcomm Cloud AI or similar AI accelerator platforms
  </li>
  <li>
   Experience supporting large-scale AI deployments (LLMs, CV pipelines, generative AI)
  </li>
  <li>
   Familiarity with inference runtimes (TensorRT, ONNX Runtime, custom runtimes)
  </li>
  <li>
   Experience with CI/CD pipelines for ML deployment
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Qualcomm
  <br/>
  <br/>
 </strong>
 At Qualcomm, you&rsquo;ll work at the intersection of
 <strong>
  AI silicon, system architecture, and real
 </strong>
 ‑
 <strong>
  world deployment
 </strong>
 . You will engage directly with strategic customers, influence next‑generation AI data center platforms, and help define scalable, power‑efficient infrastructure for the AI era. This role provides a unique opportunity to shape both
 <strong>
  technology direction and customer outcomes
 </strong>
 , while working with world‑class engineering and product teams.
 <br/>
 <br/>
 <strong>
  What's On Offer
  <br/>
  <br/>
 </strong>
 Apart from working with great people, we offer the below:
 <br/>
 <br/>
 <ul>
  <li>
   Salary including housing &amp; transport allowance
  </li>
  <li>
   Stock (RSU's) and performance related bonus
  </li>
  <li>
   16 weeks fully paid Maternity Leave
  </li>
  <li>
   6 weeks fully paid Paternity Leave
  </li>
  <li>
   Employee stock purchase scheme
  </li>
  <li>
   Child Education Allowance
  </li>
  <li>
   Relocation and immigration support (if needed)
  </li>
  <li>
   Life and Medical Insurance
  </li>
  <li>
   Live+ Well Reimbursement for health and recreational membership fees
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 OR
 <br/>
 <br/>
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
 <br/>
 <br/>
 OR
 <br/>
 <br/>
 PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 <br/>
 <br/>
 <ul>
  <li>
   2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
  </li>
  <li>
   References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 <br/>
 <br/>
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 <br/>
 <br/>
 <strong>
  To all Staffing and Recruiting Agencies
 </strong>
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 <br/>
 <br/>
 If you would like more information about this role, please contact Qualcomm Careers.
</div>


ML Operations & Customer Support Engineer, Staff/Senior Staff level - Riyadh, KSA

Noventiq GCC

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Noventiq is expanding its team &amp; is on the lookout for goal-oriented, self-driven &amp; motivated individuals, to support the next phase of company&rsquo;s growth strategy.
 <br/>
 <br/>
 Industry: IT/Cloud Services
 <br/>
 <br/>
 Location: Riyadh, KSA
 <br/>
 <br/>
 Job Title &ndash; Senior Solutions Architect
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are looking for a
 <strong>
  Senior Solutions Architect &ndash; Data &amp; AI
 </strong>
 who can independently lead customer engagements, shape complex solutions, and drive strategic conversations across business and technology stakeholders.
 <br/>
 <br/>
 This role requires a
 <strong>
  self-driven, client-facing architect
 </strong>
 who is comfortable owning the entire solution lifecycle&mdash;from discovery to proposal&mdash;while specializing in
 <strong>
  modern data platforms, analytics, and AI/ML solutions on Azure
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Fluency in Arabic is mandatory
 </strong>
 , as the role will involve direct engagement with Middle East customers.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Client Engagement &amp; Solution Ownership
  </li>
  <li>
   Act as the primary solutions architect in customer discussions&mdash;owning conversations end-to-end without dependency.
  </li>
  <li>
   Lead CXO-level and technical workshops, translating business challenges into scalable Data &amp; AI solutions.
  </li>
  <li>
   Independently drive solution discovery, architecture definition, and proposal creation.
  </li>
  <li>
   Build trusted advisor relationships with customer stakeholders, especially within Arabic-speaking regions.
  </li>
  <li>
   Data, AI &amp; Application Architecture
  </li>
  <li>
   Design and architect end-to-end enterprise solutions, including:
  </li>
  <ul>
   <li>
    Modern Data Platforms (Data Warehouses, Lakehouse, real-time analytics)
   </li>
   <li>
    AI/ML solutions (predictive analytics, NLP, GenAI, copilots)
   </li>
   <li>
    Application architectures (microservices, APIs, event-driven systems)
   </li>
  </ul>
  <li>
   Integrate data platforms with enterprise applications (CRM, ERP, custom apps).
  </li>
  <li>
   Define data strategies, API strategies, and application integration models.
  </li>
  <li>
   Ensure solutions are scalable, secure, high-performing, and cost-optimize
  </li>
  <li>
   Pre-Sales Leadership
  </li>
  <li>
   Lead the technical component of bids, proposals, and RFP responses.
  </li>
  <li>
   Develop high-quality solution artifacts:
  </li>
  <ul>
   <li>
    Architecture diagrams
   </li>
   <li>
    Cost models &amp; TCO optimization
   </li>
   <li>
    Implementation roadmaps
   </li>
   <li>
    Value propositions aligned to business outcomes
   </li>
  </ul>
  <li>
   Participate in solution demos, PoCs, and design validations.
  </li>
  <li>
   Business &amp; Strategic Alignment
  </li>
  <li>
   Translate customer business goals into measurable data and AI outcomes.
  </li>
  <li>
   Identify opportunities for:
  </li>
  <ul>
   <li>
    Data modernization
   </li>
   <li>
    AI adoption and innovation
   </li>
   <li>
    Upsell/cross-sell within existing accounts
   </li>
  </ul>
  <li>
   Balance technical excellence with commercial viability.
  </li>
  <li>
   Collaboration &amp; Delivery Alignment
  </li>
  <li>
   Work closely with sales, delivery, and engineering teams for seamless transition from presales to execution.
  </li>
  <li>
   Provide architectural oversight during initial delivery phases where needed.
  </li>
  <li>
   Mentor junior architects and engineers on Data &amp; AI, and application architecture
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Expertise
  <br/>
  <br/>
 </strong>
 <strong>
  Technical &ndash; Data &amp; AI
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong expertise in Azure Data &amp; AI ecosystem, including:
  </li>
  <ul>
   <li>
    Azure Data Factory / Synapse / Microsoft Fabric
   </li>
   <li>
    Azure Databricks
   </li>
   <li>
    Azure Machine Learning &amp; AI Services (incl. OpenAI)
   </li>
  </ul>
  <li>
   Deep understanding of:
  </li>
  <ul>
   <li>
    Data architecture patterns (Lakehouse, data mesh, etc.)
   </li>
   <li>
    Data governance, security, and compliance
   </li>
   <li>
    AI/ML lifecycle and MLOps
   </li>
  </ul>
  <li>
   Experience in Azure-native and hybrid architectures.
   <br/>
  </li>
 </ul>
 <strong>
  Technical &ndash; Application &amp; Integration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong experience in application architecture, including:
  </li>
  <ul>
   <li>
    Microservices and distributed systems architecture
   </li>
   <li>
    API design and management (REST, GraphQL, API gateways)
   </li>
   <li>
    Event-driven architectures (Kafka, messaging systems)
   </li>
  </ul>
  <li>
   Experience with application modernization:
  </li>
  <ul>
   <li>
    Monolith to microservices transformation
   </li>
   <li>
    Containerization and orchestration (Docker, Kubernetes)
   </li>
  </ul>
  <li>
   Familiarity with integration patterns:
  </li>
  <ul>
   <li>
    Data + application integration (ETL + APIs)
   </li>
   <li>
    Middleware and enterprise integration platforms
   </li>
  </ul>
  <li>
   Understanding of frontend/backend separation and digital application stacks
   <br/>
  </li>
 </ul>
 <strong>
  Professional
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven track record of independently handling pre-sales engagements and closing complex deals.
  </li>
  <li>
   Strong ability to articulate business value, not just technical solutions.
  </li>
  <li>
   Experience working with Middle East clients is highly preferred.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Language
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in Arabic (spoken and written) &ndash; mandatory
  </li>
  <li>
   Strong English communication skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience &amp; Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years of experience in technology consulting / architecture
  </li>
  <li>
   4+ years in Data &amp; AI solutions architecture
  </li>
  <li>
   Strong pre-sales or consulting background with customer-facing roles
  </li>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or related field
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Certifications (preferred But Not Required)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Microsoft Certified: Azure Solutions Architect Expert
  </li>
  <li>
   Microsoft Certified: Azure Data Engineer Associate
  </li>
  <li>
   Microsoft Certified: Azure AI Engineer Associate
  </li>
  <li>
   Microsoft Certified: Designing Azure Solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Traits for Success
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Self-starter with the ability to operate independently in high-stakes environments
  </li>
  <li>
   Strong storytelling and executive communication skills
  </li>
  <li>
   Commercially aware with a solution-selling mindset
  </li>
  <li>
   Passion for Data, AI, and emerging technologies
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Location: Riyadh - NQKSA, Riyadh, Riyadh, Saudi Arabia
</div>


Senior Solutions Architect - Data & AI

Cognition AI

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>Riyadh</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>Remote</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>Sales</p></div></div>
<br><div><div><h2 class="jobSectionHeader"><b>We are an applied AI lab building end-to-end software agents.</b></h2>
<p>We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.</p>
<p>Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.</p>
<p>Building Devin is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.</p>
<h2 class="jobSectionHeader"><b>About the Role</b></h2>
<p><b>Vice President of Sales - KSA</b></p>
<p>As we expand into the Middle East, Cognition is looking for a Vice President of Sales to launch and scale our operations in KSA. This role is for an experienced executive who can build the full KSA business from scratch. You will lead go-to-market, establish commercial and government partnerships, hire cross-functional teams, build and scale a direct and partnerships team, with the necessary supporting functions and drive Cognition's footprint across the region.</p>
<p>You will be responsible for setting the strategy, driving revenue, managing the local P and L, and ensuring exceptional customer experience. The ideal candidate combines enterprise sales experience with operational leadership, and has built or scaled high-growth technology organisations in KSA.</p><br>
<div></div><p><b>What you&rsquo;ll do</b></p>
<ul><li><p>Launch and scale Cognition&rsquo;s KSA operations as our first senior hire in market</p>
</li><li><p>Own country-level P and L, hiring, sales execution, and operational performance</p>
</li><li><p>Build and lead a high-performing local team across sales, customer success, engineering, support, and operations</p>
</li><li><p>Lead strategic partnerships with KSA and GCC enterprises and government agencies</p>
</li><li><p>Drive sales cycles end-to-end and close deals directly and via partneras with key enterprise customers</p>
</li><li><p>Partner with our global leadership team to align product-market fit for the GCC</p>
</li><li><p>Represent Cognition externally in KSA's business and technology ecosystem</p>
</li><li><p>Build scalable internal processes for customer onboarding, implementation, and success</p>
</li><li><p>Provide feedback to Product and Engineering on localisation and feature needs</p><br>
</li></ul><div></div><p><b>What you&rsquo;ll bring</b></p>
<ul><li><p>10+ years of leadership experience in KSA, ideally at fast-growing software or AI companies</p>
</li><li><p>Proven experience launching and scaling operations in new markets selling disruptive software</p>
</li><li><p>Deep relationships and understanding of KSA's enterprise and government sectors</p>
</li><li><p>Strong enterprise sales, partnerships and GTM experience with a track record of closing complex deals</p>
</li><li><p>A blend of strategic thinking and hands-on execution</p>
</li><li><p>Fluency in Arabic and English</p>
</li><li><p>Experience building cross-functional teams from the ground up with world class talent</p>
</li><li><p>Passion for technology, innovation, and shaping the future of work</p><br>
</li></ul><div></div><p><b>Nice to have</b></p>
<ul><li><p>Experience in AI, developer tools, or enterprise SaaS</p>
</li><li><p>Background in engineering or product-led companies</p>
</li><li><p>Exposure to high-growth US or global companies expanding into MENA</p>
</li></ul><h2 class="jobSectionHeader"><b>Equal Opportunity</b></h2>
<p>Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.</p></div></div><p></p>

Vice President of Sales - KSA

DeepSource Technologies

<div><p>DeepSource Technologies is looking for a Senior Cloud Infrastructure Engineer specializing in Google Cloud Platform (GCP) to join our Riyadh, KSA team. In this senior role, you will design, implement, and manage scalable and secure cloud infrastructure solutions on GCP to support our dynamic business needs. You will collaborate closely with development, security, and operations teams to ensure high availability, performance, and cost-efficiency of cloud services.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Design and implement GCP-based infrastructure solutions including compute, storage, networking, and security services.</li><li>
Manage and optimize cloud resources with a focus on performance, scalability, and cost.</li><li>
Lead infrastructure automation initiatives using Infrastructure as Code (IaC) tools like Terraform and Deployment Manager.</li><li>
Ensure compliance with security best practices and governance policies in cloud environments.</li><li>
Monitor cloud infrastructure and troubleshoot issues to maintain high uptime and reliability.</li><li>
Collaborate with DevOps and development teams to support CI/CD pipelines and cloud-native applications.</li><li>
Stay up-to-date with latest GCP technologies and provide recommendations for cloud adoption and improvement.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
10+ years of experience in cloud infrastructure engineering, specifically with Google Cloud Platform.</li><li>
Strong knowledge of GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud Networking, Cloud IAM, and BigQuery.</li><li>
Experience with Infrastructure as Code tools like Terraform, Deployment Manager, or similar.</li><li>
Proficient with containerization and orchestration technologies such as Docker and Kubernetes.</li><li>
Strong understanding of networking, security, and compliance in cloud environments.</li><li>
Experience with monitoring and logging tools such as Stackdriver, Prometheus, or Grafana.</li><li>
Excellent troubleshooting and problem-solving skills.</li><li>
Certification such as Google Cloud Professional Cloud Architect or Professional Cloud Engineer is preferred.</li><li>
Good communication skills and ability to work in a dynamic team environment.</li></ul><br>
<b>
Benefits</b><p><br>
This is a 3-month, full-time onsite engagement offering a premium experience for the right consultant:</p><ul><li><b>
Global Mobility:</b> Full coverage of <b>Visa costs</b> and <b>Airline tickets</b> (Round trip).</li><li><b>
Medical Insurance</b></li></ul></div>

Senior Cloud Infrastructure Engineer GCP - Riyadh, KSA

Deep Sea Adventure

<p><b>ROLE OVERVIEW</b></p><p>This role involves corporate sales, partnership development, and MICE program execution to drive revenue growth, strengthen client relationships, and ensure seamless day-to-day operations in the Saudi market. The Partnership Manager will be Rayna Tours' primary representative in KSA, replicating the company's proven UAE partnership model and adapting it to the local business landscape.</p><p><b>KEY RESPONSIBILITIES</b></p><p><i><b>Sales &amp; Growth</b></i></p><ul><li>Support the delivery of sales and revenue targets across corporate travel and MICE channels</li><li>Take a proactive role in driving B2B growth by identifying and approaching corporate clients, government-linked entities, and event organisers in Saudi Arabia</li><li>Prepare and coordinate proposals, offers, and presentations for corporate and MICE clients</li><li>Track and maintain the sales pipeline, account activity, and performance dashboards</li></ul><p><i><b>Partnership Coordination</b></i></p><ul><li>Manage day-to-day relationships with corporate partners and clients across KSA, with a focus on Riyadh-based accounts</li><li>Support onboarding and integration of new partners, ensuring timely completion of documentation and system setup</li><li>Coordinate with Finance and Legal on contracts, invoicing, and compliance requirements</li><li>Monitor partner performance and provide regular feedback and improvement suggestions</li></ul><p><i><b>MICE &amp; Events</b></i></p><ul><li>Identify and pursue MICE opportunities &mdash; including corporate conferences, incentive trips, exhibitions, and large-scale corporate events</li><li>Coordinate end-to-end MICE proposal delivery in collaboration with the UAE operations team</li><li>Represent Rayna Tours at industry events, trade shows, and business networking forums across KSA</li></ul><p><i><b>Program Operations</b></i></p><ul><li>Support day-to-day operations of corporate travel accounts, including bookings, reporting, and reconciliations</li><li>Work with internal teams (Finance, Operations, Customer Care) to resolve client issues and ensure seamless service delivery</li><li>Assist with new product or service launches tailored to the KSA market</li></ul><p><i><b>Analytics &amp; Reporting</b></i></p><ul><li>Monitor and report on key metrics such as revenue, pipeline conversion, and partner performance</li><li>Provide insights and recommendations to optimise corporate and MICE sales growth</li><li>Maintain and update dashboards, trackers, and market/competitor insights specific to KSA</li></ul><p><b>QUALIFICATIONS</b></p><ul><li>Bachelor's degree in Business, Marketing, Hospitality, or a related field</li><li>3&ndash;5 years' experience in sales, partnerships, or account management &mdash; preferably in travel, hospitality, or events</li><li>Strong existing corporate network in Saudi Arabia, particularly in Riyadh</li><li>Native or fluent Arabic speaker with strong English communication skills</li><li>Data-driven mindset with solid Excel/PowerPoint skills; CRM experience is a plus</li><li>Based in Riyadh, KSA</li></ul><p><b>KEY COMPETENCIES</b></p><ul><li>Commercially driven and target-oriented</li><li>Strong relationship-building skills with an understanding of Saudi corporate culture and business etiquette</li><li>Analytical and detail-oriented, with good problem-solving ability</li><li>Proactive and self-motivated &mdash; able to operate independently in a new market</li><li>Strong team player with cross-functional collaboration skills</li><li>Excellent verbal and written communication in Arabic and English</li></ul><p>Experience:</p><ul><li>Partnership Development: 3 years (Required)</li></ul><p>Language:</p><ul><li>Arabic (Required)</li></ul><p>Location:</p><ul><li>Riyadh (Required)</li></ul><p>Work Location: In person</p>

Partnership Manager

VaporVM

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

Senior Infrastructure / HPC

Qatar Airways

<div><div><div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Ref #
</div><div>233912
</div></div><div><div>Location
</div><div>Kingdom Of Saudi Arabia-Riyadh
</div></div><div><div>Job family
</div><div>Cargo &amp; Airport Operations
</div></div><div><div><ul><li>Closing Date: 2026-06-26</li></ul><br>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3></div></div><div><div><div><div><p><b>About the Role:</b></p><p>
We are pleased to announce an exciting opportunity to join our Cargo Operations team in Riyadh, KSA as Cargo Freighter Operations Officer.</p><p>
In this role, you will be supervising the freighter operations team and to ensure smooth running of cargo operational functions relating to freighter operations. Responsible for smooth cargo operations at the region through close coordination with the GHA&rsquo;s and staff within the stations. Continuously monitor and develop adherence to regulations outlined by local authorities and regulatory bodies and ensure strict compliance to IATA regulations for effective movement of inbound and outbound cargo whilst reducing operation costs involved.</p><p><b>
Duties and Accountabilities:</b></p><ul><li><p>
Ensure smooth running of cargo operational functions relating to freighter operations.</p></li><li><p>
Ensure all ULDs are built safely and GHA is aware of QR standards and adhering to them. Personal oversight of all freighter pallets must be enforced on all freighter flights.</p></li><li><p>
Ensure smooth interface from Sales to GHA including booking priorities, clear FBL instruction and priorities are given to GHAs, special cargoes are handled correctly, pre-alerts sent.</p></li><li><p>
Ensure flight load is commercially maximised as a priority. Secondly, is to then ensure no unnecessary mix loading is sent to the hub.</p></li><li><p>
Understand the operational interface with the hub and ensure problems are resolved prior to departure to the hub.</p></li><li><p>
Directing staff and GHA to contribute highest level of service standard and optimum utilization of space and available payload by co-coordinating with Ground Handling Agents and inter departments.</p></li><li><p>
Maintain the freighter on time performance and ensure no delays occur due to ground operations.</p></li><li><p>
Implement, establish and monitor standard operating procedures (SOP) and Service level agreements (SLA) with the GHA&rsquo;s in the region to ensure smooth cargo operations in the region.</p></li><li><p>
Ensure discrepancies and non-conformances are minimized in order to reduce claims and penalties at the respective station to increase customer satisfaction and reduce carrier liability.</p></li><li><p>
Supervise overall cargo operations activities related to passenger flights operating at concerned station.</p></li><li><p>
Ensure compliance to all relevant safety, security, quality and environmental management policies, procedures and controls across the operation to assure employee safety, security, legislative compliance and delivery of high quality service with a responsible environmental attitude.</p></li></ul><p><b>
Be part of an extraordinary story</b><br>
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before. Together, everything is possible.</p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualification
</b></h3></div></div><div><div><div><div><p>To be successful in this role you will need:</p><ul><li><p>
Bachelor&rsquo;s Degree or Equivalent with Minimum 3 years of airline or airfreight experience.</p></li><li><p>
Knowledge in air cargo operations is a must</p></li><li><p>
Knowledge in dangerous goods, live animal regulations and perishable cargo.</p></li><li><p>
Very good command of written and spoken English.</p></li></ul><p>
About Qatar Airways Group<br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before. So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.</p>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=233912</div></div></div></div></div></div></div></div><div></div>

Cargo Freighter Operations Officer - Riyadh

Explore 592+ Ml operations customer support engineer staff senior staff level riyadh ksa in Riyadh this July. Find roles across top companies and apply now to boost your career.