safety engineer

senior software engineer

site civil engineer

site engineer

site engineer - civil

site reliability engineer

S2 Global, Inc

<div>Overview:
<div>
S2 Global is seeking a skilled and motivated Site Reliability Engineer (SRE) to implement, maintain, and support deployments of our CertScan platform. As part of our systems engineering team, you will design and develop scalable, maintainable, and highly available network architectures that align with business objectives and service level agreements (SLAs).</div><div></div><div> 
The SRE ensures the stability and integrity of the data transmission network infrastructure, enabling seamless service delivery to our customers. This includes planning, designing, and developing LANs and WANs, as well as supporting and optimizing all network hardware, software, and communication links.</div>
Responsibilities: 
<div></div><ul><li>
Deploy regional LANs, WANs, and wireless networks (routers, switches, firewalls, wireless APs) with redundancy and recovery procedures.</li><li>
Analyze network performance, troubleshoot issues, and independently implement repairs.</li><li>
Create and maintain documentation for network configurations, mappings, processes, and service records.</li><li>
Manage and maintain network configurations with proper documentation and adherence to process.</li><li>
Automate repetitive tasks (e.g., deployments, scaling, infrastructure management) to improve efficiency.</li><li>
Analyze system performance, identify bottlenecks, and implement performance improvements.</li><li>
Collaborate with development teams to design reliable, scalable, and maintainable systems.</li><li>
Forecast infrastructure resource needs to support anticipated traffic and load.</li><li>
Implement and maintain monitoring systems and alerting mechanisms.</li><li>
Respond to incidents and coordinate with teams for rapid resolution.</li><li>
Work closely with customer IT teams to meet compliance and design standards.</li><li>
Assess network state against industry best practices and recommend improvements.</li><li>
Develop and maintain policies for network administration, utilization, and disaster recovery.</li><li>
Interact with vendors and contractors to procure network products and services.</li><li>
Support hardware/software upgrades and new equipment deployments.</li><li>
Ensure connectivity and performance of all networked systems and appliances.</li><li>
Maintain network asset inventory and documentation using CMDB.</li><li>
Conduct network and security audits and ensure backup/recovery procedures.</li></ul>
Qualifications:
<div>
Education &amp; Experience</div><ul><li>
Bachelor&rsquo;s degree in a related field or equivalent combination of education and experience.</li><li>
5+ years in networking and network security (VPNs, enterprise routing, L3&ndash;L7 switching).</li><li>
2+ years in enterprise network design and implementation.</li><li>
2+ years in firewall/switch technologies.</li><li>
1+ year in MPLS or VPLS network design.</li></ul><div></div><div>
Technical Skills</div><ul><li>
Proficiency with Monitoring Systems (e.g., SolarWinds), Cisco, Aruba, Fortinet, Hyper-V, VMware.</li><li>
Experience with Windows Server, SQL Server, Active Directory, NetApp, EMC, HP Storage, MinIO.</li><li>
Familiarity with AWS (preferred), Azure, or Google Cloud.</li><li>
Programming/scripting in Python, Go, or Java.</li><li>
Experience with Linux/Unix environments.</li><li>
Tools: Prometheus, Grafana, Nagios, Datadog.</li><li>
CI/CD pipeline development and management.</li></ul><div></div><div>
Certifications (Preferred)</div><ul><li>
ITIL Foundations v3</li><li>
CCNA, CCDA, CCDP, CCNP</li><li>
Cisco, Fortinet, or equivalent industry certification</li></ul><div></div><div>
Soft Skills</div><ul><li>
Strong analytical and problem-solving abilities.</li><li>
Excellent communication and interpersonal skills.</li><li>
Ability to work independently and collaboratively.</li><li>
High attention to detail and self-motivation.</li><li>
Strong customer service orientation.</li></ul><div></div><div>
Additional Requirements</div><ul><li>
Ability to work on-call as needed.</li><li>
Willingness and ability to travel up to 100%.</li><li>
Valid driver&rsquo;s license and ability to travel to multiple field locations.</li><li>
Understanding of data privacy laws and compliance standards (e.g., PCI, SOX).</li></ul><div></div><div> 
NOTICE TO THIRD PARTY AGENCIES</div><div>
OSI Systems, Inc. and its subsidiaries (collectively &ldquo;OSI&rdquo;) does not accept unsolicited resumes from recruiters or employment agencies. If any person or entity, including a recruiter or agency, submits any information, including any resume or information regarding any potential candidate, without a signed agreement in place with OSI, OSI explicitly reserves the right to use such information, and pursue and/or hire such candidates, without any financial obligation to the person, recruiter or agency. Any unsolicited information or resumes, including those submitted directly to hiring managers, are considered and deemed to be the property of OSI.</div><div></div><div> 
OSI Systems, Inc. has three operating divisions: (a) Security, providing security and inspection systems, turnkey security screening solutions and related services; (b) Healthcare, providing patient monitoring, diagnostic cardiology and anesthesia systems; and (c) Optoelectronics and Manufacturing, providing specialized electronic components and electronic manufacturing services for original equipment manufacturers with applications in the defense, aerospace, medical and industrial markets, among others.</div></div><div></div>

Site Reliability Engineer

Qualcomm

<div><h2 class="jobSectionHeader">Company:</h2>
Qualcomm Middle East Information Technology Company LLC<h2 class="jobSectionHeader">
Job Area:</h2>
Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
About Us
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 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
About the Role
We are recruiting for a Site Reliability Engineer &ndash; Datacentre AI Engineering at Qualcomm Technologies, Inc., located in Riyadh, Saudi Arabia. This role centres on designing, maintaining, and scaling large-scale AI inference systems in a datacentre environment. You will support critical AI use cases, ensuring that Qualcomm&rsquo;s infrastructure is robust, reliable, and scalable for advanced machine learning workloads.
Key Responsibilities will include
AI Infrastructure<ul><li>
Design and maintain large-scale AI Inference systems supporting critical AI use cases.</li><li>
Ensure reliability, operability, and scalability of the Qualcomm data-centre cluster</li><li>
Build software tools and ecosystems around AI software stacks.</li></ul>
AI &amp; ML Engineering<ul><li>
Analyse software requirements and consult with architecture and hardware engineers.</li><li>
Hands-on experience in building Agentic AI solutions, LLM orchestration and agentic AI libraries.</li><li>
Collaborate with model, systems &amp; software teams to improve model performance on AI100 deployments</li><li>
Identify features that optimize workloads for multi-SoC and multi-card systems</li></ul>
Site Reliability Engineering (SRE)<ul><li>
Implement SRE fundamentals: incident management, monitoring, performance optimization</li><li>
Hands-on experience with MLOps tools and practices, ensuring seamless integration of ML models into production</li><li>
Establish operational maturity frameworks and sustainable incident response protocols.</li></ul>
Observability &amp; Tooling<ul><li>
Build tools and frameworks to improve observability and define reliability metrics.</li><li>
Monitor system health using Prometheus, Grafana, Cloudwatch, and custom telemetry.</li><li>
Create and maintain documentation and knowledge base articles.</li></ul>
Automation &amp; CI/CD<ul><li>
Design automation tools to reduce manual processes and operational overhead.</li><li>
Ensure CI/CD reliability for agent deployment cycles.</li><li>
Apply Infrastructure as Code practices using tools like Terraform CDK.</li></ul>
Required Skillset includes:
AI &amp; Deep Learning<ul><li>
Experience with LLMs, NLP, Vision, Audio, and Recommendation systems.</li><li>
Proficiency with LLM inference concepts: token streaming, batching, KV cache.</li><li>
Proficiency in PyTorch, TensorFlow, JAX, and Ray.</li><li>
Familiar with GPU / TPU compute, ML frameworks, checkpointing and distributed inferencing</li></ul>
AI Agent Operations<ul><li>
Experience supporting GenAI or agentic AI applications in production.</li><li>
Familiarity with LLM orchestration, prompt reliability, and RAG systems.</li><li>
Exposure to LangChain, AutoGen, and similar agent orchestration frameworks.</li></ul>
Programming &amp; Software Design<ul><li>
Strong programming skills in Python with experience in PyTorch</li><li>
Scripting (Python, Bash), configuration management (Ansible/Terraform), orchestration</li></ul>
Systems &amp; Infrastructure<ul><li>
Strong Linux fundamentals: shell, systemd, containers, networking (TLS, DNS, HTTP/2, gRPC).</li><li>
Expertise in Slurm (configuration, scheduling, plugins/extensions) or equivalent</li><li>
Good knowledge of networking (RDMA, InfiniBand, RoCE, high-throughput, low-latency networks)</li><li>
Experience operating and scaling distributed systems with high availability.</li></ul>
Observability &amp; Monitoring<ul><li>
Hands-on experience with Prometheus, Grafana, ELK, Loki, Datadog, SIP, Homer.</li><li>
Exposure to hardware health monitoring and system reliability.</li></ul>
DevOps &amp; SRE Practices<ul><li>
Deep understanding of SDLC, release management, and system reliability.</li><li>
Familiarity with CI/CD pipelines (Jenkins, GitLab) and Infrastructure as Code (Terraform CDK).</li></ul>
Qualifications &amp; Experience:<ul><li>
Bachelor's / Masters degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.</li><li>
4-5 years&rsquo; of Software Engineering or related work experience.</li></ul>
What's on Offer
Apart from working with great people, we offer the below:<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</li></ul>
Minimum Qualifications:<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
</li></ul>OR 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. 
OR 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 
 
<ul><li>2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.</li></ul><ul><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.</li></ul><div>
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).</div>
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.
To all Staffing and Recruiting Agencies: 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.
If you would like more information about this role, please contact Qualcomm Careers.</div>

Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA

Tarjama&

<div>The DevOps Engineer will play a mission-critical role owning the deployment, scalability, security, and reliability of AI systems and digital platforms. This role has a strong focus on LLM deployments, AI workloads, and cloud-native infrastructure, ensuring that all AI and software systems operate with enterprise-grade availability, performance, and compliance.
Key Responsibilities
CI/CD &amp; Automation Engineering<ul>
<li>
Design, build, and maintain CI/CD pipelines for AI models, LLM services, and software applications.</li>
<li>Automate build, test, deployment, and environment configuration workflows to enable rapid and reliable releases.</li>
</ul>
AI &amp; LLM Deployment Operations<ul>
<li>
Deploy, operate, and scale AI systems, LLM APIs, inference workloads, and cloud-based AI services.</li>
<li>Ensure high availability, horizontal scalability, and low-latency inference across all production environments.</li>
</ul>
Infrastructure, Reliability &amp; Cost Optimization<ul>
<li>
Monitor infrastructure performance, system health, and AI workloads using observability and monitoring tools.</li>
<li>Optimize infrastructure for reliability, performance, and cloud cost efficiency.</li>
</ul>
Security, Compliance &amp; Governance<ul>
<li>
Implement and enforce security best practices, access controls, secrets management, and environment isolation.</li>
<li>Ensure infrastructure and deployment processes align with national data governance, compliance, and cybersecurity standards.</li>
</ul>
Cross-Functional Enablement<ul>
<li>
Collaborate closely with AI Engineers, Full-Stack Engineers, and Product teams to enable seamless, scalable deployments.</li>
<li>Act as the primary technical owner for production reliability during mission-critical deployments.</li>
</ul>
Documentation &amp; Architecture Standards<ul>
<li>
Maintain comprehensive documentation for DevOps workflows, system architecture, environments, and deployment standards.</li>
<li>Ensure operational readiness, auditability, and knowledge transfer across teams.</li>
</ul>
Required Qualifications<ul>
<li>
Minimum 5 years of hands-on DevOps engineering experience in production environments.</li>
<li>Mandatory: Proven experience deploying and operating AI systems and LLM-based workloads in production.</li>
<li>Strong hands-on expertise with Docker, Kubernetes, CI/CD platforms, and cloud services.</li>
<li>Experience with monitoring, observability, logging, and infrastructure-as-code (e.g., Terraform, similar tools).</li>
<li>Strong understanding of networking, security, and cloud-native architecture principles.</li>
<li>Excellent troubleshooting and incident response capabilities in high-availability systems.</li>
</ul>
Preferred Qualifications<ul>
<li>
Experience with MLOps platforms such as MLflow, SageMaker, Vertex AI, or similar.</li>
<li>Proven experience scaling AI and LLM applications in high-traffic production environments.</li>
<li>Exposure to AI model lifecycle management, retraining pipelines, and operational governance.</li>
<li>Experience in government, regulated, or national-scale enterprise environments.</li>
</ul>
KPIs &amp; Deliverables<ul>
<li>
Uptime, reliability, and stability of AI platforms and production systems.</li>
<li>Deployment speed, automation maturity, and release reliability.</li>
<li>Infrastructure performance, scalability, and cost optimization efficiency.</li>
<li>Security posture and compliance readiness across all environments.</li>
<li>Quality, completeness, and audit readiness of DevOps documentation and workflows.</li></ul></div>

DevOps Engineer

Confidential Government

<div>
 
 
 Job Summary:
 
 We are looking for a DevOps Engineer to bridge the gap between software development and IT operations. You will be responsible for automating and optimizing our mission-critical deployments and ensuring the reliability and scalability of our infrastructure.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design and manage CI/CD pipelines (Jenkins, Azure DevOps, or GitLab).
 </li>
 <li>
 Manage cloud infrastructure (AWS or Azure) using Infrastructure as Code (Terraform or CloudFormation).
 </li>
 <li>
 Oversee containerization and orchestration using Docker and Kubernetes.
 </li>
 <li>
 Monitor system performance, troubleshoot issues, and ensure high availability.
 </li>
 <li>
 Collaborate with development teams to improve coding standards and deployment frequency.
 </li>
 <li>
 Implement security best practices (DevSecOps) throughout the development lifecycle.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 3+ years of experience in a DevOps or SRE role.
 </li>
 <li>
 Strong proficiency in scripting languages (Python, Bash, or PowerShell).
 </li>
 <li>
 Hands-on experience with containerization (Docker, Kubernetes) and Cloud platforms.
 </li>
 </ul>
 
 
</div>

MASTER-WORKS

<div>Job Summary 
The Senior Cloud Operations Engineer (GCP) is responsible for operating, maintaining, and optimizing enterprise workloads running on Google Cloud Platform. The role ensures high availability, performance, security, and reliability of GCP services across production and non-production environments.
The engineer will work closely with Cloud Architecture, Cloud Security, Platform Engineering, and DevOps teams to support GCP infrastructure, enforce governance, and enable cloud-native operations aligned with best practices. 
Key Responsibilities 
1. GCP Cloud Operations<ul>
<li>
Operate and support day-to-day activities on GCP workloads across Compute Engine, GKE, Cloud SQL, Storage, and Load Balancing.</li>
<li>Manage production environments, resolve incidents, and ensure uptime through SLO/SLA alignment.</li>
<li>Implement OS-Login, IAP, VPC-SC, and secure connectivity for internal and external users.</li>
<li>Monitor system health using Cloud Logging, Cloud Monitoring, and Error Reporting.</li></ul> 
2. GCP Infrastructure Management<ul>
<li>
Manage Compute Engine instances, instance templates, MIGs, custom images, and snapshots.</li>
<li>Administer GKE clusters, node pools, autoscaling, Ingress/LB configurations, and GCR/Artifact Registry.</li>
<li>Configure Cloud Load Balancers (External/Internal HTTP(S), TCP/UDP, SSL proxy).</li>
<li>Implement VPC design, subnets, Cloud NAT, firewall policies, routing, Private Service Connect, and hybrid connectivity.</li></ul> 
3. Automation, IaC &amp; CI/CD<ul>
<li>
Develop, maintain, and version cloud resources using Terraform and Google&rsquo;s Deployment Manager.</li>
<li>Automate provisioning, patching, scaling, and maintenance tasks.</li>
<li>Contribute to GitLab/Cloud Build pipelines for GCP deployments.</li>
<li>Create runbooks, automation scripts (Bash/Python), and SOPs for repeated processes.</li></ul> 
4. Cloud Security &amp; Compliance (GCP Focused)<ul>
<li>
Enforce least privilege using IAM, service accounts, workload identity, and custom roles.</li>
<li>Support Cloud Security Command Center (SCC) findings remediation.</li>
<li>Implement Binary Authorization, Shielded VMs, CMEK/CMK, network segmentation, and policy enforcement via Organization Policies.</li>
<li>Support compliance activities aligned with NCA, CIS GCP Benchmarks, and ISO standards.</li></ul> 
5. Incident &amp; Problem Management<ul>
<li>
Lead incident troubleshooting using GCP logging, LB logs, VPC Flow Logs, packet mirroring.</li>
<li>Conduct root-cause analysis for GKE, network, IAM, and service-level issues.</li>
<li>Improve observability through dashboards, alerts, and SLO-based monitoring.</li>
<li>Participate in on-call rotations and perform emergency recovery operations.</li></ul> 
6. Cost Optimization &amp; Governance<ul>
<li>
Utilize GCP Cost tools: Billing dashboards, Cost Insights, Quotas, and Budgets.</li>
<li>Optimize resources via committed use discounts, instance rightsizing, autoscaling, and idle resource cleanup.</li>
<li>Ensure adherence to cloud governance frameworks and tagging/labeling standards.</li>
</ul>
Requirements
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or related field.</li></ul> 
Experience<ul>
<li>
5&ndash;8+ years of hands-on experience in cloud operations with at least 3 years dedicated to GCP.</li>
<li>Strong background in Linux/Windows VM operations in GCP.</li>
<li>Experience operating GKE-based applications or microservices.</li></ul> 
Technical Requirements (GCP-Specialized) 
Google Compute &amp; VM Operations<ul>
<li>
Expertise in Compute Engine, MIGs, instance templates, OS-Login, IAP-enabled access.</li>
<li>Understanding of disk types, snapshots, custom images, and maintenance policies.</li></ul> 
Networking<ul>
<li>
Strong hands-on experience with VPC design, peering, Shared VPC, firewall rules, Cloud NAT, and Private Service Connect.</li>
<li>Deep understanding of Google Load Balancers (External HTTP(S), Internal HTTP(S), SSL Proxy, TCP/UDP).</li></ul> 
GKE &amp; Container Services<ul>
<li>
Experience managing GKE clusters, node pools, autoscaling, monitoring, and troubleshooting pods/service meshes.</li>
<li>Familiarity with Anthos (optional).</li></ul> 
Storage &amp; Databases<ul><li>
Strong knowledge of Cloud Storage, object lifecycle management, Cloud SQL, Memorystore, and related services.</li></ul> 
Security (GCP Focused)<ul>
<li>
Experience with:</li>
<li><ul><li>IAM design</li>
<li>SCC findings</li>
<li>VPC SC</li>
<li>Binary Authorization</li>
<li>Workload Identity</li>
<li>KMS/CMEK</li>
<li>Shielded VMs</li>
<li>Security posture hardening (CIS, NCA, ISO)</li></ul></li></ul> 
Automation &amp; DevOps<ul>
<li>
Strong experience with Terraform (required).</li>
<li>Experience with GitLab CI, Cloud Build, or Jenkins for GCP workloads.</li>
<li>Strong scripting in Bash/Python.</li></ul> 
Observability<ul>
<li>
Proficiency with:</li>
<li><ul><li>Cloud Monitoring</li>
<li>Cloud Logging</li>
<li>Error Reporting</li>
<li>VPC Flow Logs</li>
<li>LB logs</li></ul></li></ul> 
Soft Skills<ul>
<li>
Strong ownership and accountability mindset.</li>
<li>Ability to diagnose complex cloud/network/security issues.</li>
<li>Excellent communication and documentation skills.</li>
<li>Ability to work in fast-paced, highly collaborative environments.</li>
<li>Leadership in incident management.</li></ul> 
Preferred Certifications<ul>
<li>
Google Cloud Professional Cloud Engineer (required or in-progress).</li>
<li>Google Professional DevOps Engineer.</li>
<li>CKA/CKAD (for GKE experience).</li>
<li>HashiCorp Terraform Associate.</li>
<li>ITIL Foundation and ISO awareness.</li></ul></div>

Senior Cloud Operations Engineer (Google Cloud Platform)

<div><h2 class="jobSectionHeader">Company:</h2>
Qualcomm Middle East Information Technology Company LLC<h2 class="jobSectionHeader">
Job Area:</h2>
Engineering Group, Engineering Group &gt; Hardware Engineering
General Summary:
About Us
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 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
About the Role
As the Customer Quality Engineer for Data Centre Solutions you will serve as the primary quality interface between strategic data centre customers and internal engineering teams. This role ensures product reliability, rapid issue resolution, and continuous improvement across complex hardware and software ecosystems powering modern data centres.
You will bring a strong combination of full-stack engineering expertise, machine learning proficiency, and infrastructure knowledge to build robust, scalable AI systems.
Qualcomm is driving the next wave of innovation in data centre technology, delivering cutting-edge solutions that power cloud computing, AI workloads, and hyperscale infrastructure. As a Customer Quality Engineer (CQE) for Data Centre Solutions, you will play a pivotal role as the primary quality interface between strategic data centre customers and internal engineering teams. This is an opportunity to join a team at the forefront of Qualcomm&rsquo;s rapidly expanding data centre business&mdash;a space poised for tremendous growth and impact.
Key Responsibilities will include:<ul><li>
Act as the quality advocate for data centre customers, ensuring their requirements and priorities are clearly communicated internally.</li><li>
Drive cross-functional collaboration across Server Hardware, Networking, Storage, Firmware, and Cloud Infrastructure teams.</li><li>
Lead root cause analysis and corrective actions for data centre product failures, including server boards, interconnects, and high-density systems.</li><li>
Monitor and minimize RMA cycle time for enterprise-grade components.</li><li>
Develop and present customer-facing quality reports, including reliability metrics and failure trend analysis.</li><li>
Implement data-driven quality improvements using advanced analytics and automation.</li><li>
Ensure compliance with data center standards (e.g., ISO 9001, NEBS, RoHS) and customer-specific requirements.</li><li>
Partner with suppliers, supply chain, CE, and manufacturing teams to maintain high reliability for mission-critical systems.</li></ul>
Minimum Qualifications &amp; Experience<ul><li>
Bachelor&rsquo;s in Electrical Engineering, Computer Engineering, or Mechanical Engineering.</li><li>
10+ years in hardware quality engineering or reliability for data centre or enterprise systems.</li><li>
Strong background in server architecture, networking, and storage technologies.</li><li>
Proven track record in customer engagement and timely issue resolution.</li><li>
Expertise in failure analysis, SPC, DOE, and reliability modelling.</li><li>
Ability to lead cross-functional teams and influence stakeholders.</li><li>
Strong analytical and critical thinking skills.</li><li>
Ability to make data driven timely sound decisions</li><li>
Strong communication and presentation skills for executive-level reporting.</li></ul>
Preferred Qualifications<ul><li>
Master&rsquo;s in Electrical Engineering or related discipline</li><li>
Familiarity with cloud infrastructure platforms (e.g., Azure, AWS, GCP).</li><li>
Knowledge of thermal, power, and signal integrity challenges in high-density systems.</li><li>
Experience with data analytics tools for quality improvement.</li><li>
Advanced degree in Electrical Engineering, Computer Engineering, or related field.</li><li>
Ability to speak Arabic</li></ul>
What's on Offer
Apart from working with great people, we offer the below:<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</li></ul>
Minimum Qualifications:<ul><li>Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.
</li></ul>OR 
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
 
OR 
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.<ul><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.</li></ul><div>
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).</div>
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.
To all Staffing and Recruiting Agencies: 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.
If you would like more information about this role, please contact Qualcomm Careers.</div>

Customer Quality Engineer (CQE) – Data Centre Solutions - Riyadh, KSA

Rekaz

<div>
 
 
 Company Description
 
 
 
 Rekaz is a SaaS platform built for service businesses to manage bookings, subscriptions, and customer relationships in one place. We help small and medium-sized businesses run their operations smoothly with tools for scheduling, payments, and client-facing experiences like online booking and subscription management. Our mission is to empower businesses with seamless, efficient, and scalable solutions tailored to the Saudi market.
 
 
 
 
 
 
 Role Description
 
 
 
 This is a full-time on-site role for a&nbsp;
 
 Full Stack Engineer
 
 &nbsp;based in Riyadh.
 
 
 As a Full Stack Engineer at Rekaz, you will work across our web application stack to build and improve features used daily by gyms, salons, clinics, and home service businesses. You will contribute to both frontend and backend development, from crafting smooth, reliable interfaces to designing robust APIs and data models for bookings, subscriptions, and payments.
 
 
 You will work closely with product, design, and customer-facing teams to understand merchant needs, translate them into technical solutions, and ship high-quality features that are secure, scalable, and easy to maintain.
 
 
 
 
 
 
 Daily tasks include:
 
 
 <ul>
 <li>
 Building and maintaining features across the stack (frontend and backend) for our core product
 </li>
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 Designing and implementing RESTful / GraphQL APIs for bookings, subscriptions, invoices, and customer data
 </li>
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 Working with relational databases (e.g. PostgreSQL) and writing efficient, reliable queries
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 <li>
 Collaborating with product and design to break down requirements into clear technical tasks
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 <li>
 Improving performance, reliability, and scalability of existing services and flows
 </li>
 <li>
 Writing clean, testable, and maintainable code with proper documentation
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 <li>
 Participating in code reviews and knowledge sharing with the engineering team
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 <li>
 Integrating with third-party services (e.g. payment gateways, messaging/WhatsApp providers, access control systems for gyms)
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 <li>
 Debugging production issues and contributing to a stable, monitored, and observable system
 </li>
 <li>
 Helping continuously improve our engineering practices, tooling, and internal developer experience
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 2&ndash;5 years of experience as a Full Stack Engineer / Software Engineer working on web applications
 </li>
 <li>
 Solid experience with modern frontend technologies (e.g. React, Vue, or similar) and JavaScript/TypeScript
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 <li>
 Strong backend experience with Node.js or a similar server-side framework (Nest.js, Express, etc.)
 </li>
 <li>
 Experience working with relational databases (preferably PostgreSQL) and ORMs/query builders
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 <li>
 Good understanding of web application architecture, APIs, authentication, and authorization
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 Comfortable working with Git, CI/CD, and modern development workflows
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 Ability to translate product requirements into clear technical designs and implementation plans
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 Attention to code quality, testing, and long-term maintainability
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 Strong collaboration and communication skills; comfortable working with product, design, and customer teams
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 <li>
 Fluency in Arabic is a strong plus; familiarity with Saudi SMBs (gyms, salons, home services) is a bonus
 </li>
 <li>
 English reading/writing ability to work with documentation and global engineering best practices
 </li>
 </ul>
 
 
 
</div>

Full Stack Engineer

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