software engineer

electrical engineer

hse engineer

civil engineer

sales engineer

ai engineer

MOZN

<div>
 <strong>
  <strong>
   About Mozn
   <br/>
   <br/>
  </strong>
 </strong>
 <p>
  MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
  <br/>
  <br/>
  We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
  <br/>
  <br/>
  If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 </p>
 <strong>
  <strong>
   About the role
   <br/>
   <br/>
  </strong>
 </strong>
 <p>
  We are looking for a AI Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.
 </p>
 <strong>
  What you'll do
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Designing, building, and scaling machine learning models and infrastructure
  </li>
  <li>
   Deploying deep learning and generative models into production for public and private sector projects
  </li>
  <li>
   Optimizing ML training and inference for performance, latency, and scalability
  </li>
  <li>
   Monitoring, retraining, and improving deployed ML models
  </li>
  <li>
   Driving consultation efforts, providing expert guidance to client stakeholders
  </li>
  <li>
   Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations
  </li>
  <li>
   Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data
  </li>
  <li>
   Develop backend services and APIs to expose AI capabilities securely and reliably
  </li>
  <li>
   Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions
  </li>
  <li>
   Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or master's degree in computer science or related field
  </li>
  <li>
   3-5 years of experience across software engineering, ML engineering, data science, data engineering and generative AI
  </li>
  <li>
   Strong track record of projects across public and private sectors
  </li>
  <li>
   Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks
  </li>
  <li>
   Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama)
  </li>
  <li>
   Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices
  </li>
  <li>
   Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services
  </li>
  <li>
   Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science)
  </li>
  <li>
   Familiarity with MLOps practices and automation pipelines
  </li>
  <li>
   Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment
  </li>
  <li>
   Experience building data ingestion, transformation, and processing pipelines
  </li>
  <li>
   Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.js, or equivalent technologies
  </li>
  <li>
   Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces
  </li>
  <li>
   Working knowledge of frontend technologies such as React, Next.js, JavaScript, TypeScript, HTML, and CSS
  </li>
  <li>
   Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services
  </li>
  <li>
   Ability to independently build functional AI applications from prototype through production
  </li>
  <li>
   Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
  </li>
 </ul>
 <ul>
  <li>
   You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
  </li>
 </ul>
 <ul>
  <li>
   The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
  </li>
 </ul>
 <ul>
  <li>
   You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
  </li>
 </ul>
 <ul>
  <li>
   We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
  </li>
 </ul>
</div>


AI Engineer

Qualcomm

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Middle East Information Technology Company LLC
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Engineering Group, Engineering Group &gt; Systems Engineering
<p></p><p><b>General Summary:
</b></p><p></p><p><b>About Us
</b></p><p>As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.
</p><p>As a Qualcomm Datacenter AI Systems Engineer focused on AI Inference Platforms and Competitive Analysis, you will evaluate, benchmark, optimize, and validate end-to-end AI inference solutions built on Qualcomm AI accelerators. You will analyze real-world customer deployments, assess competitive platforms, and develop fact-based insights on performance, scalability, ecosystem readiness, and operational simplicity across modern GenAI workloads including LLMs, VLMs, RAG, and agentic applications.
</p><p></p><p><b>About the role
</b></p><p>In this role, you will work across hardware, software, frameworks, and deployment architectures to identify differentiators, gaps, and opportunities that shape Qualcomm's AI platform roadmap and customer engagement strategy. You will collaborate closely with architecture, product, systems, customer engineering, business development, and ecosystem teams to establish Qualcomm AI accelerators as a leading platform for enterprise AI inference deployments.
</p><p></p><p><b>Minimum Qualifications:
</b></p><ul><li>Bachelor&rsquo;s degree in engineering, computer science, or Data Science with 8+ years of experience
</li><li>Master's degree in Engineering, Computer Science, Data Science or related field and 4+ year of related work experience.
</li></ul><p>OR
</p><ul><li>PhD in Engineering, Computer Science, or related field and 4+ years of Experience.
</li></ul><p></p><p><b>Required Skills:
</b></p><ul><li>Strong proficiency in Python and common AI/ML frameworks such as PyTorch, TensorFlow, or ONNX.
</li><li>Solid understanding of ML model development, deployment, and AI inference concepts for datacenter workloads.
</li><li>Strong foundation in system performance profiling, benchmarking, parallel computing, and workload analysis.
</li><li>Working knowledge of Linux-based development, containerized deployment, and cloud-native infrastructure concepts.
</li><li>Strong analytical, communication, and cross-functional collaboration skills with the ability to summarize technical findings clearly.
</li></ul><p></p><p><b>Preferred Qualifications:
</b></p><ul><li>Master's or PhD degree in Engineering, Computer Science, Information Systems, Electrical Engineering, Physics, or a related technical field with 4+ years of experience.
</li><li>Strong understanding of GenAI and enterprise inference workloads, including LLMs, VLMs/LVMs, embeddings, diffusion models, RAG pipelines, agents, and multi-turn application patterns.
</li><li>Hands-on experience evaluating AI accelerator platforms and deployment ecosystems, including Qualcomm AI inference accelerators and competitive platforms such as NVIDIA and AMD.
</li><li>Experience with production inference frameworks and serving stacks such as vLLM, Triton Inference Server, TensorRT-LLM, SGLang, KServe, Ray Serve, TorchServe, or equivalent model-serving technologies.
</li><li>Deep understanding of inference performance fundamentals, including prefill/decode behavior, KV-cache utilization, batching, scheduling, quantization, memory bandwidth, latency, throughput, TTFT, TPOT, and scaling efficiency.
</li><li>Experience designing and executing fact-based competitive benchmarks across single-node and multi-node deployments using representative customer workloads, model configurations, and deployment patterns.
</li><li>Knowledge of distributed inference architectures, including tensor parallelism, pipeline parallelism, expert parallelism/MoE serving, disaggregated serving, routing, autoscaling, and cluster-level orchestration.
</li><li>Experience with containerized and cloud-native deployment workflows using Docker, Kubernetes, Helm, GitOps, CI/CD, observability stacks, and infrastructure automation.
</li><li>Ability to assess ecosystem readiness, operational simplicity, tooling maturity, model onboarding complexity, reference architectures, observability, supportability, and deployment documentation quality.
</li><li>Background in compiler/runtime optimization, graph lowering, operator fusion, kernel optimization, or hardware-aware model optimization for ML workloads is a plus.
</li><li>Experience conducting technical competitive analysis across AI hardware platforms, frameworks, software ecosystems, deployment architectures, and customer workflows.
</li><li>Experience building customer-facing technical collateral, competitive positioning, deployment guides, benchmark reports, executive briefings, and gap analysis for AI infrastructure products.
</li><li>Strong cross-functional collaboration skills with demonstrated ability to work across product, architecture, engineering, customer engineering, business development, and ecosystem partner teams in a matrixed organization.
</li></ul><p></p><p><b>Principal Duties and Responsibilities will include:
</b></p><ul><li>End-to-end competitive analysis for Qualcomm AI inference accelerators across hardware, software, model-serving frameworks, deployment workflows, and customer-facing GenAI inference solutions.
</li><li>Evaluate real customer deployment patterns, including LLM/VLM serving, RAG, agentic workflows, embedding services, multi-model applications, and enterprise inference pipelines, to identify where Qualcomm leads, is at parity, or has gaps.
</li><li>Develop objective benchmark methodologies and execute performance studies covering latency, TTFT, TPOT, throughput, tokens/sec/user, concurrency, utilization, power efficiency, cost efficiency, and single-node and multi-node scaling.
</li><li>Compare Qualcomm solutions against competitive platforms such as NVIDIA and AMD across deployment maturity, model coverage, framework support, ecosystem readiness, operational simplicity, and total solution capability.
</li><li>Analyze inference architecture tradeoffs involving vLLM, Triton Inference Server, KServe, Ray Serve, Kubernetes, orchestration layers, KV-cache management, batching strategies, quantization, and distributed serving patterns.
</li><li>Drive model onboarding prioritization by studying competitive usage, customer demand, model popularity, framework adoption, and readiness gaps across open-source and enterprise GenAI workloads.
</li><li>Build and maintain reference architectures, deployment playbooks, sizing guidance, reproducible benchmark recipes, and customer-ready solution blueprints for Qualcomm AI inference platforms.
</li><li>Partner with architecture, compiler, runtime, framework, systems, and product teams to translate competitive findings into product requirements, roadmap priorities, optimization opportunities, and ecosystem investments.
</li><li>Perform system-level debugging and root-cause analysis across model, framework, runtime, driver, hardware, networking, memory, and orchestration layers to explain performance or deployment gaps.
</li><li>Create clear, fact-based competitive positioning, leadership readouts, technical reports, and customer-facing collateral that communicate differentiators, risks, gaps, and recommended actions.
</li><li>Collaborate with customer engineering, business development, sales, and partner teams to support customer evaluations, proof-of-concepts, competitive bakeoffs, and deployment activities.
</li><li>Stay current with the evolving AI inference ecosystem, including emerging models, serving frameworks, accelerator platforms, open-source projects, benchmarking practices, and enterprise deployment trends.
</li></ul><p></p><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><ul><li><p>Salary including housing &amp; transport allowance
</p></li><li><p>Stock (RSU's) and performance related bonus
</p></li><li><p>16 weeks fully paid Maternity Leave
</p></li><li><p>6 weeks fully paid Paternity Leave
</p></li><li><p>Employee stock purchase scheme
</p></li><li><p>Child Education Allowance
</p></li><li><p>Relocation and immigration support (if needed)
</p></li><li><p>Life and Medical Insurance
</p></li><li><p>Live+ Well Reimbursement for health and recreational membership fees
</p></li></ul><p></p><p><b>Minimum Qualifications:
</b></p><ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
</li></ul>OR
<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
<p></p><p>*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.
</p><p></p><div><p>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).
</p></div><p></p><p>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.
</p><p></p><p><b>To all Staffing and Recruiting Agencies </b>: 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.
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

Data Center AI Systems Engineer (Competitive Analysis) - Riyadh, KSA

Maaden

<div>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 <strong>
  JOB DESCRIPTION
  <br/>
  <br/>
 </strong>
 Design, develop, and deploy machine learning and Generative AI solutions to solve defined business problems, ensuring technical robustness, model performance, and responsible AI implementation.
 <br/>
 <br/>
 <strong>
  Key Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop, test, and validate machine learning, deep learning, and Generative AI models (including LLM-based applications).
  </li>
  <li>
   Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
  </li>
  <li>
   Perform feature engineering, model tuning, and performance optimization.
  </li>
  <li>
   Prepare, cleanse, and transform structured and unstructured datasets.
  </li>
  <li>
   Support deployment of ML and GenAI models using MLOps and LLMOps practices.
  </li>
  <li>
   Conduct structured evaluation of LLM outputs including hallucination detection and quality scoring.
  </li>
  <li>
   Integrate AI solutions via APIs into enterprise systems.
  </li>
  <li>
   Document model design, assumptions, risks, and validation results.
  </li>
  <li>
   Ensure compliance with data governance, cybersecurity, and ethical AI guidelines.
  </li>
  <li>
   Support monitoring, retraining, and lifecycle management of deployed models.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualification, Experience And Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum Qualification
  </li>
  <li>
   Bachelor&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4&ndash;6 years in data science, machine learning, or applied AI roles.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Python, SQL, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  </li>
  <li>
   Prompt engineering
  </li>
  <li>
   RAG pipelines &amp; vector databases
  </li>
  <li>
   Model fine-tuning and evaluation
  </li>
  <li>
   Data preprocessing &amp; feature engineering
  </li>
  <li>
   Basic cloud deployment concepts
  </li>
  <li>
   MLOps / LLMOps fundamentals
  </li>
  <li>
   Analytical problem-solving
  </li>
  <li>
   Results Orientation
  </li>
  <li>
   Collaboration
  </li>
  <li>
   Continuous Improvement
  </li>
  <li>
   Accountability
  </li>
 </ul>
</div>


Senior Specialist, Data Science & Artificial Intelligence II

QuantumBlack, AI by McKinsey

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 <br/>
 <br/>
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 <br/>
 <br/>
 When you join us, you will have:
 <br/>
 <br/>
 <ul>
  <li>
   Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  </li>
  <li>
   A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  </li>
  <li>
   Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  </li>
  <li>
   World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 As a Software Engineer with Tech &amp; AI at McKinsey, you will work with clients across a wide range of sectors and industries, advising them on how to best leverage technology.
 <br/>
 <br/>
 You will drive architectural design, make key technology decisions, and employ agile methodologies to build and deliver the next generation of products for our clients at scale.
 <br/>
 <br/>
 You will also lead project workstreams, helping clients build their technical capabilities and foster a culture centered around engineering best practices, user-centricity, and Agile values.
 <br/>
 <br/>
 As a core member of the team, you will take on responsibilities that include driving architectural design and making strategic technology decisions to shape next-generation products for various internal teams, ensuring that we remain at the forefront of technological innovation.
 <br/>
 <br/>
 Additionally, you will be hands-on and co-creating solutions alongside our clients and their leadership, enabling you to grow into a recognized technology leader.
 <br/>
 <br/>
 You will be part of the McKinsey Digital team in Riyadh, Saudi Arabia. This group brings together the best of McKinsey&rsquo;s digital capabilities to help our clients use digital technology to transform their businesses.
 <br/>
 <br/>
 McKinsey Digital is our tech delivery people unit. A global team of software, data and cloud engineers, passionate designers, technology architects, product owners, and leading technologists.
 <br/>
 <br/>
 You will join a multidisciplinary community of developers, Agile coaches, designers, business strategists and experts. Together, we will design and create industry shaping products and tools for our clients.
 <br/>
 <br/>
 While we advocate for using the right tech for the right task, we often leverage the following technologies: JavaScript, TypeScript, React.js, Angular.js, Next.js, Vue.js, Python, Java, C#, NodeJS, SQL, MongoDB, AWS, Azure, GCP, and more!
 <br/>
 <br/>
 Our office culture is casual and social, with an emphasis on education and innovation. You will have the freedom to try new ideas and experiment in your role and will be guaranteed significant dedicated time to tinker, create, continuously learn and share cool new stuff. We also have a strong emphasis in our teams on mentoring others enabling them to grow and learn.
 <br/>
 <br/>
 Changing the world requires us to sit with our clients at times, so some travel is expected in this role.
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Undergraduate or master&rsquo;s degree; or equivalent experience
  </li>
  <li>
   5+ years of experience in software development, with significant full-stack web application development experience strongly preferred
  </li>
  <li>
   Demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, Travis
  </li>
  <li>
   Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities
  </li>
  <li>
   Experience working collaboratively with technical and non-technical team members and stakeholders including modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awareness
  </li>
 </ul>
</div>


Software Engineer II - QuantumBlack, AI by McKinsey

IntelliSense.io

<div><h1 class="jobSectionHeader"><b>Join IntelliSense.io and help build the future of Scientific Intelligence</b></h1><p>
Are you passionate about building scalable data systems and solving complex technical challenges? We're looking for a <b>Backend Engineer</b> to join our dynamic, global team.</p><p>
At <b>IntelliSense.io</b>, we're pioneering <b>Objective AI (ODAI), </b>combining fundamental physics with AI to understand and characterise the physical world. Our platform delivers high-value decision recommendations, acting as role-specific co-pilots that augment human intelligence or enable autonomous systems. In short, we're building the brains behind smarter, more efficient operations.</p><h2 class="jobSectionHeader"><b>
What you'll be working on</b></h2><p>
As a Backend Engineer, you'll design and implement robust data solutions that meet both internal and client needs. You'll also play a key role in shaping how we build software, setting standards, and helping teams deliver high-quality work.</p><p>
Key responsibilities include:</p><ul><li>
Extracting requirements, designing, developing, and testing software applications</li><li>
Liaising with different teams, including QA team and data scientists to ensure the best processes are used to create the best outcome of a product</li><li>
Troubleshooting and resolving issues related to applications and services</li><li>
Identifying bugs in the microservices and proposing solutions to fix them</li><li>
Collaborating with the data science team to integrate equipment/process models into software components and services</li><li>
Applying principles, best practices, and techniques of engineering, mathematics, and computer science to software development</li><li>
Defining and implementing Unit Test codes, and providing test coverage for the developed software components or services</li><li>
Writing and maintaining documentation for all services and their dependencies</li></ul><h4 class="jobSectionHeader"><b>
What we're looking for</b></h4><ul><li><p>
Experience in software engineering, with a strong focus on data systems</p></li><li><p>
Proficiency in <b>Java</b> and <b>Node.js</b></p></li><li><p>
SQL skills and experience with both relational and NoSQL databases</p></li><li><p>
Hands-on experience with message queues (e.g. NATS, Pub/Sub)</p></li><li><p>
Experience building web services using <b>REST</b> and <b>SOAP</b></p></li><li><p>
Working knowledge of <b>Kubernetes</b> and <b>Docker</b></p></li><li><p>
Excellent communication skills and confidence working in distributed teams</p></li><li><p>
A degree in Computer Science (or a related field), or equivalent practical experience</p></li><li>
Fluency in English and Arabic languages</li></ul><h4 class="jobSectionHeader"><b>
Bonus points for</b></h4><ul><li><p>
Familiarity with <b>Python</b></p></li></ul><h2 class="jobSectionHeader"><b>
Why join us?</b></h2><ul><li>
Opportunity to work on cutting-edge technology and meaningful data challenges</li><li><p>
A collaborative, global team of talented engineers and domain experts</p></li><li><p>
A continuous learning environment with real opportunities to grow and lead</p></li></ul><h2 class="jobSectionHeader"><b>
Location</b></h2><p>
This role is remote but <b>must be based in Saudi Arabia</b>.</p><h2 class="jobSectionHeader"><b>
Apply today</b></h2><p>
We actively encourage applications from people of all backgrounds. If this role excites you, even if you don't meet every requirement, we'd love to hear from you.<br>
<b>You belong here. Let's build something extraordinary together.</b></p></div><p></p>

Backend Engineer

NetApp

<div><p>At NetApp, we have a history of helping customers turn challenges into business opportunities. That&rsquo;s because we bring new thinking to age-old problems, like how to use data most effectively in the most efficient possible way. As an Engineer with NetApp, you&rsquo;ll have the opportunity to work with modern cloud and container orchestration technologies in a production setting. You&rsquo;ll play an important role in scaling systems sustainably through automation and evolving them by pushing for changes to improve reliability and velocity.</p><div><br>
</div><div><div><h2 class="jobSectionHeader"><b>Success profile</b></h2>
<p>Ready to be an engineer at NetApp? Explore the traits that can help you thrive.</p>
<p></p><div><ul><li>Analytical</li>
<li>Adaptable</li>
<li>Communicator</li>
<li>Detail-oriented</li>
<li>Quick-thinking</li>
<li>Problem solver</li>
</ul></div></div><div>
</div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Responsibilities</b></h2>
Riyadh, Riyadh Region, Saudi Arabia; Riyadh Region, Saudi Arabia <b>Job category:</b> Systems Engineering <b>Job ID:</b> 135800-en_US
</div></div><div></div><div><div><p><b>Own Every Moment at NetApp</b></p>
<p>At NetApp, your ideas power innovation. We lead in intelligent data infrastructure&mdash;delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.</p>
<p>Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Summary</b></h2>
</div><div><p>Lead and inspire a high-performing team of Solutions Engineers and/or front-line leaders to drive the growth of NetApp&rsquo;s business. This role focuses on delivering impactful customer outcomes by leveraging the full technical breadth and differentiation of NetApp&rsquo;s portfolio.As a leader, you will play a key role in maximizing revenue by coaching and empowering your team to effectively influence customer buying decisions and articulate value throughout the sales cycle.This position requires regular travel to engage closely with team members, customers, and partners, ensuring strong relationships and successful business outcomes.</p>
<p></p><p><b>Ready to make an impact?</b> Join us and help shape the future of customer success and technical innovation at NetApp. Apply now to be part of a team where your leadership truly makes a difference.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Job Requirements</b></h2>
</div><p></p><div><ul><li>Fluent in English and Arabic</li>
<li>Expertise in coaching team members&rsquo; technical knowledge, industry trends awareness, and applying insights and expertise to solve client problems.</li>
<li>Proven ability to oversee the discovery and development of new opportunities, managing the pipeline and ensuring effective relationship management to maximize revenue.</li>
<li>Highly organized, data-driven and committed to Sales Excellence. Strong executive presence, influence and communication skills; ability to build and nurture strong relationships with team members, customers, and partners.</li>
<li>Proven success in hiring, developing and performance managing teams, while maintaining strong team culture.</li>
<li>Demonstrated ability to stay ahead of industry trends, customer challenges, and competitive developments that support NetApp&rsquo;s value proposition.</li>
<li>Strong business acumen understanding of market dynamics that help address and solve customers&rsquo; goals and needs. Understanding of NetApp&rsquo;s solutions domains, AI, use-cases, and associated sales plays, with the ability to assess and coach talent on the same</li>
</ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>Job Responsibilities</b></h2>
</div><div><ul><li>Lead a team of SE's to drive growth across region</li>
<li>in partnership with Client Executive teams, prioritizing hunting new land accounts and increasing share-of-wallet in expand accounts through upselling and cross-selling.</li>
<li>Focus on customer imperatives by leveraging solution portfolio and messaging to proactively drive value recognition through data infrastructure modernization, cloud transformation, cyber resiliency, AI, and Block benefits.Act as technical sales orchestrator, pulling in the right experts, at the right place and right time, to enable teams&rsquo; success.
</li><li>Own and lead the delivery of accurate forecasts and sales stage progression through disciplined use of sales tools.
</li><li>Consistently meet and exceed sales quota.Coach teams to conduct demonstrations and lead Proofs of Concept (POCs) to establish customer confidence and maximize solution differentiation.
</li><li>Coach teams to document customers' requirements, areas of opportunity, business objectives, and develops high-quality proposals that illustrate how our solutions meet their requirements, resolve pain points and create differentiated outcomes.</li>
<li>Drive a high-performance culture leveraging Thrive Performance &amp; Rewards program which includes transparency around performance expectations, providing consistent and actionable feedback, and leveraging rewards planning for differentiation.</li>
<li>Proactively identify high-potential team members and provide ongoing coaching, mentorship, and professional development opportunities to cultivate their skills and advance their careers.
</li><li>Effectively manage underperforming team members with fairness and transparency, while swiftly recruiting and integrating high-performing talent to enhance team productivity.</li>
</ul></div></div></div><p>At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.</p>
<p><b>Equal Opportunity Employer:</b></p>
<p>NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.</p>
<p><b>Why You'll Thrive at NetApp</b></p>
<p>At NetApp, you won't wait for the perfect moment&mdash;you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.</p>
<p>NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.</p>
<p><b>Our culture</b></p>
<p>We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed&mdash;they drive everything we do.</p>
<p>If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.</p>
<p><b>Submitting an Application</b></p>
<p>To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.</p>
<p><b>AI Disclosure</b></p>
<p>For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support&mdash;rather than replace&mdash;human decision-making.</p><br>
</div></div></div><p></p><div>
</div></div><div><div><h2 class="jobSectionHeader"><b>Our values</b></h2>
<p>Put the customer at the center. Care for each other and our communities. Think and act like owners. Build belonging every day. Embrace a growth mindset.</p><br>
</div><div>
</div></div><div><div><h2 class="jobSectionHeader"><b>Benefits</b></h2>
<div><div><h3 class="jobSectionHeader"><b>Volunteer time off</b></h3>
<p>40 hours of paid volunteer time each year.</p>
</div><div><h3 class="jobSectionHeader"><b>Well-being</b></h3>
<p>Employee Assistance Program, fitness, and mental health resources to help employees be their best.</p>
</div><div><h3 class="jobSectionHeader"><b>Time away</b></h3>
<p>Paid time off for vacation and to recharge.</p></div></div></div></div></div><div></div>

Solutions Engineering Manager

YO IT Consulting

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Role Title:
 </strong>
 Frontend Software Engineer
 <br/>
 <br/>
 <strong>
  Role Type:
 </strong>
 Contract
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Remote
 <br/>
 <br/>
 <strong>
  Scope Of Work
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Create high-quality technical documentation and structured examples based on real-world frontend engineering scenarios.
  </li>
  <li>
   Apply your frontend engineering expertise to evaluate UI implementations, styling decisions, and best practices.
  </li>
  <li>
   Interpret component style guides and screenshots to produce accurate technical outputs and documentation.
  </li>
  <li>
   Interpret and translate component style guides and interface screenshots into precise, visually consistent UI deliverables.
  </li>
  <li>
   Implement pixel-perfect, responsive web components using modern technologies such as Typescript and CSS3.
  </li>
  <li>
   Ensure all UI elements adhere to established design systems and accessibility standards.
  </li>
  <li>
   Collaborate asynchronously through clear documentation and constructive feedback within a remote-first environment.
  </li>
  <li>
   Proactively identify, communicate, and resolve inconsistencies or ambiguities in design specifications.
  </li>
  <li>
   Optimize UI performance across devices, focusing on fast load times and smooth interactions.
  </li>
  <li>
   Contribute domain-specific expertise to guide the training and development of advanced AI models.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum of 3 years of professional experience delivering high-quality front-end solutions.
  </li>
  <li>
   Proven proficiency with Typescript, CSS3, and responsive web design principles.
  </li>
  <li>
   Demonstrated success in building pixel-perfect interfaces from detailed visual references.
  </li>
  <li>
   Experience working with and extending component style guides and design systems.
  </li>
  <li>
   Strong English communication skills
  </li>
  <li>
   Self-motivated and capable of delivering autonomously within distributed project environments.
  </li>
  <li>
   Advanced degree (Master&rsquo;s or PhD) in Computer Science or a related technical discipline is a plus.
  </li>
 </ul>
</div>


Frontend Software Engineer - Remote

Explore 104+ Ai engineer in Riyadh this August. Find roles across top companies and apply now to boost your career.