qa/qc engineer

mechanical engineer

sales engineer

electrical engineer

planning engineer

site reliability engineer

Starlink Qatar

<div>
 
 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 
 
 We are seeking a highly experienced Operations Manager to lead the end-to-end operations for our large-scale, mission-critical platform in Doha, Qatar. This strategic role is responsible for establishing and governing a robust operational framework based on ITIL and Site Reliability Engineering (SRE) principles to ensure high availability and service reliability. You will oversee 24x7 monitoring, incident management, security operations, and service continuity. The ideal candidate will lead cross-functional technical teams, manage vendor performance, and drive financial optimization through FinOps governance. This position requires a strong leader to manage the coexistence and migration between platform versions, ensuring business continuity and measurable improvements in customer satisfaction. Your expertise will be crucial in maintaining a secure, compliant, and highly resilient operational environment.
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 
 
 &rtrif; 15+ years in Operations leadership, managing large-scale, mission-critical platforms.
 
 
 &rtrif; Expertise in implementing and governing ITIL and Site Reliability Engineering (SRE) frameworks.
 
 
 &rtrif; Demonstrated experience managing 24x7 operations, major incident management, and on-call rotations.
 
 
 &rtrif; Strong proficiency in Security Operations (SecOps), including SIEM/SOC, vulnerability management, and patching.
 
 
 &rtrif; Hands-on experience with FinOps principles, cost optimization, and vendor performance management (SLAs/OLAs).
 
 
 &rtrif; Proven ability to lead Disaster Recovery (DR/BCP) initiatives, including planning, testing, and ensuring RTO/RPO compliance.
 
 
 &rtrif; Experience managing platform migrations in complex hybrid cloud environments (on-prem, private/public cloud).
 
 
 &rtrif; Skilled in observability tools for APM, logging, and monitoring (e.g., Azure Monitor, Splunk, Grafana).
 
 
 ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 
 
 &rtrif; ITIL v4 Certification.
 
 
 &rtrif; Experience operating DataOps and MLOps pipelines.
 
 
 &rtrif; Master&rsquo;s degree in Computer Science, Information Technology, or a related field.
 
 
 &rtrif; Experience overseeing physical site dependencies (MEP, ELV, ICT).
 
 
 &rtrif; Familiarity with ServiceNow for enterprise-grade service management.
 
</div>

Operations Manager

Bornan Sports Technology

Bornan Sports Technology is a company specializing in technological innovation for sports. We develop products for all types of sporting events, whether large or small, both nationally and internationally. We provide real-time results, timing, and TV graphics services.We are looking for an organized and professional person to join our team. The successful candidate will be responsible for managing and optimizing cloud infrastructure, supporting system reliability.Responsibilities:<ul><li>Administer and manage cloud environments, primarily on AWS</li><li>Review, maintain, and optimize infrastructure, including Linux instances and service/data migrations</li><li>Design and implement new cloud architectures</li><li>Ensure system reliability, security, and performance across cloud environments</li><li>Implement and manage CI/CD pipelines</li><li>Monitor infrastructure using observability tools</li></ul>Requirements:<ul><li>Minimum 1 year of experience with AWS</li><li>AWS Professional or Specialty certification (Solutions Architect, DevOps Engineer, or Security)</li><li>Strong Linux system administration and skills with Bash scripting</li><li>Experience with Infrastructure as Code tools such as Terraform</li><li>Knowledge of container technologies (Docker, ECS) and Kubernetes (EKS)</li><li>Experience designing CI/CD pipelines and working with high availability and fault-tolerant architectures</li><li>Familiarity with monitoring and observability tools (CloudWatch, Prometheus, Grafana, ELK)</li><li>Understanding of cloud security best practices, compliance, and the AWS Well-Architected Framework</li></ul>Preferred Qualifications:<ul><li>Experience with multi-cloud environments (AWS, GCP, or Azure)</li><li>Certifications in AWS Security or Kubernetes (CKA, CKSA, CKAD)</li><li>Automation and development experience with Python, Node.js, JavaScript, or Bash</li><li>Experience managing databases (RDS, MongoDB Atlas, ElasticSearch/OpenSearch)</li><li>Experience with CMS platforms such as WordPress or Drupal</li></ul>If you are a dynamic, detail-oriented professional looking to join a company with international projects where you can expand your skills, we would be delighted to meet you.Job Types: Full-time, PermanentApplication Question(s):<ul><li>What is your visa type and nationality?</li><li>What is your salary expectations QAR (full package)? </li><li>Please provide the link to your AWS certification badge on Credly</li></ul>Experience:<ul><li>AWS: 1 year (Required)</li></ul>License/Certification:<ul><li>AWS Professional Certification (Required)</li></ul>Willingness to travel:<ul><li>75% (Required)</li></ul>

Cloud (AWS)

Mowasalat Qatar

<div>
 
 
 Job Summary
 
 
 
 
 
 
 The incumbent&rsquo;s goal is to design, manage, and optimize enterprise‑grade IT infrastructure and cloud environments to ensure high availability, performance, and security across Mowasalat&rsquo;s systems. The role oversees systems engineering operations, drives cloud and DevOps initiatives, and ensures alignment with organizational standards, regulatory requirements, and industry best practices.
 
 
 This position supports reliable business operations by providing advanced technical leadership, guiding system modernization, and enabling scalable and secure IT service delivery.
 
 
 
 
 
 
 Main Responsibilities
 
 
 
 
 
 
 
 Infrastructure Engineering &amp; Administration
 
 
 <ul>
 <li>
 Architect, design, and standardize enterprise environments across Windows Server and Linux distributions.
 </li>
 <li>
 Manage advanced Linux system administration, including kernel tuning, shell scripting, and security hardening practices.
 </li>
 <li>
 Oversee virtualized infrastructures using VMware vSphere/ESXi and Microsoft Hyper‑V to ensure optimal performance and resource utilization.
 </li>
 </ul>
 
 
 
 
 
 Cloud Engineering &amp; Infrastructure as Code (IaC)
 
 
 <ul>
 <li>
 Lead the design and implementation of Microsoft Azure IaaS and PaaS solutions, including cloud networking and identity management.
 </li>
 <li>
 Implement and standardize IaC practices using Terraform and Azure Bicep, ensuring modular, secure, and automated provisioning.
 </li>
 <li>
 Apply Azure governance, cost‑optimization, and environment standardization to maintain cloud efficiency and security.
 </li>
 </ul>
 
 
 
 
 
 CI/CD &amp; Automation
 
 
 <ul>
 <li>
 Develop and optimize CI/CD pipelines using Azure DevOps and GitHub Actions to support automated deployments.
 </li>
 <li>
 Automate system operations, configuration management, and patching workflows using PowerShell and Ansible to reduce manual intervention.
 </li>
 </ul>
 
 
 
 
 
 Database &amp; Data Platform Management
 
 
 <ul>
 <li>
 Oversee architectural design, deployment, and operational management of MS SQL, Kafka, and MongoDB environments.
 </li>
 <li>
 Perform advanced tuning, replication, sharding, and high‑availability configuration for enterprise data platforms.
 </li>
 </ul>
 
 
 
 
 
 Containerization &amp; Orchestration
 
 
 <ul>
 <li>
 Manage containerized applications using Docker and orchestrate large‑scale Kubernetes clusters.
 </li>
 <li>
 Ensure cluster resiliency, autoscaling, service mesh reliability, and standardized container governance.
 </li>
 </ul>
 
 
 
 
 
 Security, Compliance &amp; Governance
 
 
 <ul>
 <li>
 Implement system security controls aligned with ISO 27001 and NIST standards.
 </li>
 <li>
 Lead vulnerability management initiatives using industry‑standard scanning tools and remediation workflows.
 </li>
 <li>
 Oversee enterprise‑wide backup, recovery, and disaster‑recovery strategies to maintain RPO/RTO compliance.
 </li>
 </ul>
 
 
 
 
 
 IT Service Management &amp; Documentation
 
 
 <ul>
 <li>
 Develop and maintain system architecture diagrams, SOPs, and configuration documentation.
 </li>
 <li>
 Ensure alignment with ITIL v4 frameworks for incident, problem, change, and asset management processes.
 </li>
 </ul>
 
 
 
 
 
 Team Leadership &amp; Technical Guidance
 
 
 <ul>
 <li>
 Mentor junior engineers, providing coaching, skill development, and technical oversight.
 </li>
 <li>
 Lead infrastructure projects, cross‑functional collaborations, and modernization initiatives.
 </li>
 <li>
 Promote a high‑performance, secure, and innovation‑driven IT environment.
 </li>
 </ul>
 
 
 
 
 
 Qualifications, Certificates &amp; Skills
 
 
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.
 </li>
 <li>
 Master&rsquo;s degree is preferred.
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 Minimum
 
 10+ years
 
 of IT infrastructure and systems engineering experience.
 </li>
 <li>
 Minimum
 
 7+ years
 
 of hands‑on experience in Microsoft Azure and DevOps environments.
 </li>
 </ul>
 
 
 
 
 
 Certifications &amp; Training
 
 
 <ul>
 <li>
 Preferred:
 </li>
 <li>
 Microsoft AZ‑305 (Azure Solutions Architect Expert)
 </li>
 <li>
 Microsoft AZ‑400 (DevOps Solutions)
 </li>
 <li>
 VMware Certified Professional (VCP)
 </li>
 <li>
 Red Hat Certified Engineer (RHCE)
 </li>
 <li>
 ITIL v4 Foundation
 </li>
 <li>
 Certified Kubernetes Administrator (CKA)
 </li>
 </ul>
 
 
 
 
 
 Skills
 
 
 <ul>
 <li>
 Windows &amp; Linux System Engineering
 </li>
 <li>
 Azure Cloud Architecture &amp; Governance
 </li>
 <li>
 Terraform &amp; Azure Bicep IaC
 </li>
 <li>
 CI/CD (Azure DevOps, GitHub Actions)
 </li>
 <li>
 Virtualization (VMware, Hyper‑V)
 </li>
 <li>
 Database &amp; Data Platform Management (MS SQL, Kafka, MongoDB)
 </li>
 <li>
 Kubernetes &amp; Container Orchestration
 </li>
 <li>
 Security Hardening &amp; Compliance
 </li>
 <li>
 Problem‑Solving &amp; Troubleshooting
 </li>
 <li>
 Documentation &amp; ITSM Practices
 </li>
 <li>
 Leadership, Mentoring &amp; Collaboration
 </li>
 </ul>
 
 
</div>

Senior System Engineer

Scale AI

<div>
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As a DevOps Engineer, you will design and develop core platforms and software systems, while supporting orchestration, data abstraction, data pipelines, identity &amp; access management, security tools, and underlying cloud infrastructure.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Backend Development and System Ownership: Design and implement secure, scalable backend systems for customers using modern, cloud-native AI infrastructure. Own services or systems, define long-term health goals, and improve the health of surrounding components.
 </li>
 <li>
 Collaboration and Standards: Collaborate with cross-functional teams to define and execute backend and infrastructure solutions tailored for secure environments. Enhance engineering standards, tooling, and processes to maintain high-quality outputs.
 </li>
 <li>
 Infrastructure Automation and Management: Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, CloudFormation) for automated provisioning and management. Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments.
 </li>
 <li>
 Deployment and Scalability: Design and optimize CI/CD pipelines for efficient testing, building, and deployment processes. Scale and optimize containerized applications using orchestration platforms like Kubernetes to ensure high availability and reliability.
 </li>
 <li>
 Disaster Recovery and Hybrid Strategies: Develop and test disaster recovery plans with robust backups and failover mechanisms. Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multiple cloud providers.
 
 
 </li>
 </ul>
 
 Ideally you&rsquo;d have:
 
 
 
 <ul>
 <li>
 A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
 </li>
 <li>
 5+ years of post-graduation engineering experience, with a focus on back-end systems and proficiency in at least one of Python, Typescript, Javascript, or C++
 </li>
 <li>
 Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS and Azure preferred)
 </li>
 <li>
 Track record of independent ownership of successful engineering projects
 </li>
 <li>
 Experience working fluently with standard containerization &amp; deployment technologies like Kubernetes, Terraform, Docker, etc.
 </li>
 <li>
 Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Github Actions)
 </li>
 <li>
 Solid foundation and real-world experience in network engineering
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working cross functionally with operations
 </li>
 <li>
 Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape
 </li>
 <li>
 Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)
 </li>
 <li>
 Experience with authentication/authorization systems (Zanzibar, Authz, etc.)
 </li>
 <li>
 Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)
 </li>
 <li>
 Experience with hybrid or on-prem systems
 </li>
 <li>
 Experience with orchestration platforms, such as Temporal and AWS Step Functions
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

DevOps Engineer, GPS

<div>
 Role Overview
 
 
 Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
 </li>
 <li>
 Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
 </li>
 <li>
 Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
 </li>
 <li>
 Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
 </li>
 <li>
 Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
 </li>
 <li>
 Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
 </li>
 <li>
 Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.
 
 
 </li>
 </ul>
 
 Ideally, you have:
 
 
 
 <ul>
 <li>
 Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
 </li>
 <li>
 Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
 </li>
 <li>
 System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.
 </li>
 <li>
 Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
 </li>
 <li>
 Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
 </li>
 <li>
 Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
 </li>
 <li>
 Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

AI Applications Ops Lead, IPS

<div>
 Role Overview
 
 
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
 </li>
 <li>
 Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
 </li>
 <li>
 Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
 </li>
 <li>
 Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
 </li>
 <li>
 Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
 </li>
 <li>
 Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
 </li>
 <li>
 Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.
 
 
 </li>
 </ul>
 
 Ideally, you have:
 
 
 
 <ul>
 <li>
 Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
 </li>
 <li>
 Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
 </li>
 <li>
 System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.
 </li>
 <li>
 Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
 </li>
 <li>
 Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
 </li>
 <li>
 Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
 </li>
 <li>
 Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

AI Applications Ops Lead, GPS

MAT Facility Management And Sevices

Job Summary: We are seeking a highly skilled and experienced Electrical Engineer with a proven track record in data center electrical design, commissioning, and facility operations. The role encompasses the full lifecycle of electrical and building services systems&mdash;from Basis of Design (BOD), detailed design, and Issued-for-Construction (IFC) documentation to installation, Testing &amp; Commissioning (T&amp;C), operations, and final system handover.Key Responsibilities:<ul><li>Electrical System Design &amp; Documentation</li><li>Lead the design of low- and medium-voltage (LV/MV) power distribution, UPS systems, generators, switchgear, emergency power systems, grounding and lightning protection, and data center lighting.</li><li>Prepare IFC-ready drawings, technical specifications, schematics, and sequences of operation.</li><li>Ensure designs support high availability, redundancy, and mission-critical operations.</li><li>Building Services Coordination</li><li>Collaborate with mechanical, plumbing, and firefighting teams to ensure integration of HVAC, water supply, drainage, and firefighting layouts into the electrical and operational design.</li><li>Review and finalize operation-ready layouts and design documents for all building services systems.</li><li>Project Execution &amp; Cross-Disciplinary Coordination</li><li>Work closely with civil, mechanical, fire protection, and IT teams to ensure seamless integration of electrical and building services systems.</li><li>Drive on-time project delivery while maintaining design integrity, operational compliance, and system reliability.</li><li>Site Oversight, Operations &amp; Commissioning</li><li>Supervise on-site installation, cable management, equipment testing, and system integration.</li><li>Testing &amp; Commissioning (T&amp;C) activities and ensure smooth operational handover of all electrical and building services systems.</li><li>Troubleshoot site-level issues for electrical, HVAC, water supply, drainage, and firefighting systems.</li><li>Technical Leadership &amp; Stakeholder Management</li><li>Provide guidance on engineering RFIs, design clarifications, and technical problem-solving.</li><li>Liaise with Engineer of Record (EOR), clients, and vendors to maintain project standards, compliance, and operational excellence.</li><li>Innovation &amp; Technology Integration</li><li>Evaluate and implement cutting-edge electrical and building services technologies.</li><li>Optimize energy efficiency, system reliability, and mission-critical performance across electrical and mechanical systems.</li><li>Quality Assurance &amp; Compliance</li><li>Ensure compliance with IEC, IEEE, ANSI, NFPA, local authority regulations, and data center best practices.</li><li>Lead inspections, risk assessments, and final handover documentation for all electrical and building services systems.</li><li>Continuous Improvement</li><li>Identify opportunities for energy optimization, system reliability enhancement, and operational risk mitigation.</li><li>Drive process improvement initiatives for best-in-class electrical and building services performance.</li></ul>Qualifications &amp; Requirements:<ul><li>Bachelor&rsquo;s degree in electrical engineering.</li><li>4&ndash;10 years of experience in data center, mission-critical, or large-scale commercial electrical engineering.</li><li>Expertise in LV/MV power distribution, UPS systems, generators, switchgear, grounding systems, and electrical infrastructure design.</li><li>Proven experience in IFC drawings, technical specifications, commissioning, and operations of electrical and building services systems.</li><li>Knowledge of HVAC, water supply, drainage, and firefighting systems integration with electrical infrastructure.</li><li>In-depth understanding of international electrical standards, data center best practices, and local authority regulations.</li><li>Strong problem-solving, project management, and stakeholder communication skills.</li><li>Demonstrated ability to lead projects from design through commissioning and operational handover, ensuring high reliability and operational excellence.</li></ul>Job Type: Full-timePay: QAR5,500.00 - QAR7,500.00 per month

Electrical Engineer

Explore 579+ Site reliability engineer in Doha this March. Find roles across top companies and apply now to boost your career.