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Qiddiya | القدية

<div>
 The Assistant Manager - Cloud Operations is responsible for supporting the day-to-day operation, reliability, governance, security, and optimization of Azure and Google Cloud Platform (GCP) environments. The role works closely with infrastructure, security, application, service desk, vendors, managed service providers, and business stakeholders to ensure cloud services are stable, secure, resilient, cost-effective, and aligned with business requirements.
 
 
 The role also supports Site Reliability Engineering (SRE) practices, including service availability, monitoring, incident response, reliability improvement, automation, and operational excellence.
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Support daily cloud operations across Microsoft Azure and Google Cloud Platform (GCP).
 </li>
 <li>
 Monitor cloud infrastructure health, availability, performance, capacity, and incidents.
 </li>
 <li>
 Support SRE practices, including reliability monitoring, availability improvement, incident response, service health reviews, and operational automation.
 </li>
 <li>
 Manage incident response, service requests, escalations, and root cause analysis for cloud services.
 </li>
 <li>
 Support implementation and maintenance of cloud governance, policies, standards, tagging, and compliance controls.
 </li>
 <li>
 Review and optimize cloud cost, usage, reserved capacity, rightsizing, and resource cleanup.
 </li>
 <li>
 Coordinate with vendors, managed service providers, and internal teams to resolve operational issues.
 </li>
 <li>
 Support native backup, disaster recovery, high availability, and business continuity activities.
 </li>
 <li>
 Maintain cloud documentation, operational runbooks, architecture diagrams, and knowledge base articles.
 </li>
 <li>
 Support cloud security operations, including IAM reviews, network security, patching, vulnerability remediation, encryption, and access governance.
 </li>
 <li>
 Assist with automation and Infrastructure as Code adoption using tools such as Terraform.
 </li>
 <li>
 Track operational KPIs such as availability, incident resolution, SLA compliance, policy violations, cost optimization, reliability metrics, and documentation coverage.
 </li>
 <li>
 Participate in change management, release coordination, and operational readiness reviews.
 </li>
 <li>
 Support audits, compliance reviews, and risk remediation related to Azure and GCP cloud infrastructure.
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 <ul>
 <li>
 Minimum 5 years of hands-on experience in cloud operations, cloud engineering, infrastructure operations, SRE, or related technical roles.
 </li>
 <li>
 Hands-on knowledge of Microsoft Azure and/or Google Cloud Platform (GCP).
 </li>
 <li>
 Understanding of cloud networking, identity, compute, storage, monitoring, backup, security, and high availability.
 </li>
 <li>
 Experience with incident, problem, change, and service request management.
 </li>
 <li>
 Familiarity with SRE concepts, including availability, reliability, monitoring, alerting, incident response, root cause analysis, and continuous improvement.
 </li>
 <li>
 Familiarity with ITIL processes and IT service management tools.
 </li>
 <li>
 Good understanding of cloud security, IAM, RBAC, network security groups/firewalls, encryption, vulnerability management, and compliance controls.
 </li>
 <li>
 Ability to work with vendors, managed service providers, and cross-functional teams.
 </li>
 <li>
 Strong troubleshooting, communication, documentation, and stakeholder coordination skills.
 </li>
 <li>
 Experience with automation or scripting using tools such as Terraform, PowerShell, or Python is preferred.
 </li>
 </ul>
</div>

Assistant Manager - Cloud Operation

NextEra

<div>
 
 Dear All,
 
 
 
 
 
 
 NextEra is
 
 looking for
 
 dynamic
 
 resources in
 
 IT-Site Reliability Engineer
 
 role.
 
 
 
 
 
 
 Role Title:
 
 Site Reliability Engineer &ndash; L2 Support
 
 
 
 Function:
 
 Cloud &amp; Infrastructure Operations / Managed Services
 
 
 
 Role Level:
 
 L2 Technical Support
 
 
 
 Location:
 
 Riyadh
 
 
 
 
 
 The SRE L2 Support Engineer will be responsible for maintaining the reliability, availability, performance, and operational stability of business-critical applications and platform services hosted across GCP, OCI, Kubernetes, network services, Kafka, Redis, S3-compatible storage, event bus, databases, and open-source observability platforms. The role requires hands-on experience in incident management, monitoring, troubleshooting, service restoration, automation support, and operational governance using Grafana, Tempo, Loki, Prometheus, and related open-source ecosystem tools. The engineer will work closely with L1 support, L3/platform engineering teams, application teams, cloud teams, database teams, network teams, and customer stakeholders to ensure timely incident resolution, proactive problem management, and continuous improvement of service reliability.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Provide L2-level support for incidents, service requests, alerts, and operational issues across GCP, OCI, Kubernetes, network services, Kafka, Redis, S3-compatible storage, event bus, databases, and open-source observability platforms.
 </li>
 <li>
 Own incident triage, technical investigation, service restoration, escalation coordination, and closure documentation for priority incidents within agreed service levels.
 </li>
 <li>
 Perform deep-dive troubleshooting using metrics, logs, traces, dashboards, events, Kubernetes health data, cloud service telemetry, database alerts, Kafka lag indicators, Redis metrics, storage events, and network diagnostics.
 </li>
 <li>
 Monitor service availability, latency, error rates, saturation, capacity trends, pod health, node health, cluster resource utilization, Kafka consumer lag, Redis performance, database availability, object storage health, event bus failures, and network connectivity using Grafana, Prometheus, Loki, and Tempo.
 </li>
 <li>
 Support major incident management by providing technical analysis, impact assessment, workaround recommendations, timeline inputs, and post-incident review data for cloud, container, messaging, caching, storage, database, and network service issues.
 </li>
 <li>
 Coordinate with L1 teams for alert validation, ticket enrichment, runbook adherence, initial diagnostics, and handover of evidence before L2 engagement.
 </li>
 <li>
 Escalate complex issues to L3 engineering, platform engineering, Kubernetes administrators, cloud operations teams, database administrators, network teams, or product vendors with clear technical evidence and impact details.
 </li>
 <li>
 Execute approved operational tasks including service restarts, pod restarts, deployment validation, namespace checks, log review, configuration verification, certificate checks, storage access validation, Kafka topic and consumer checks, Redis health checks, database connectivity checks, network route validation, and scheduled health checks.
 </li>
 <li>
 Identify recurring incidents and contribute to problem management by performing root cause analysis, documenting known errors, creating corrective actions, and recommending permanent fixes.
 </li>
 <li>
 Create, update, and maintain SOPs, knowledge articles, troubleshooting guides, operational runbooks, alert response guides, and shift handover documentation for the defined technology stack.
 </li>
 <li>
 Support automation and standardization of repetitive operational tasks such as health checks, alert enrichment, log collection, Kubernetes diagnostics, cloud resource checks, Kafka status checks, Redis checks, storage validation, and database connectivity validation.
 </li>
 <li>
 Participate in change implementation support, pre-change validation, post-change monitoring, deployment verification, rollback support, and production readiness checks for GCP, OCI, Kubernetes, messaging, caching, storage, database, and observability changes.
 </li>
 <li>
 Ensure compliance with incident, problem, change, release, access, security, and operational governance processes within the defined SRE operating model.
 </li>
 <li>
 Prepare daily, weekly, and monthly operational reports covering incident trends, SLA performance, recurring issues, capacity observations, observability gaps, automation opportunities, and service improvement actions.
 </li>
 <li>
 Work in rotational shifts, on-call support, weekend support, or extended support windows based on business and client requirements.
 </li>
 </ul>
 
 
 Required Technical Skills
 
 
 <ul>
 <li>
 Strong understanding of SRE principles including reliability, availability, scalability, observability, toil reduction, incident response, service-level objectives, and error-budget awareness.
 </li>
 <li>
 Hands-on experience in L2 production support, platform support, cloud operations, Kubernetes operations, or managed services support.
 </li>
 <li>
 Working knowledge of GCP and OCI services, including compute, storage, networking, identity, monitoring, logging, service health, and operational troubleshooting.
 </li>
 <li>
 Hands-on understanding of Kubernetes concepts including clusters, nodes, namespaces, pods, deployments, services, ingress, config maps, secrets, persistent volumes, resource limits, events, logs, and basic troubleshooting commands.
 </li>
 <li>
 Knowledge of network services including DNS, load balancers, firewalls, routing, connectivity checks, certificates, ports, latency, packet loss, and service reachability troubleshooting.
 </li>
 <li>
 Experience supporting Kafka, including topic validation, broker health checks, consumer group status, consumer lag analysis, producer and consumer connectivity, and event streaming issue triage.
 </li>
 <li>
 Experience supporting Redis, including cache availability checks, memory utilization, latency, connection issues, keyspace checks, replication status, and basic performance troubleshooting.
 </li>
 <li>
 Understanding of S3-compatible storage, including bucket access, object availability, permissions, lifecycle behavior, storage events, data transfer failures, and application integration issues.
 </li>
 <li>
 Working knowledge of event bus platforms and event-driven architectures, including event publishing, subscription failures, message routing, retry behaviour, dead-letter handling, and integration troubleshooting.
 </li>
 <li>
 Basic understanding of relational and NoSQL databases, including connectivity checks, query execution validation, job status validation, performance alerts, backup status, replication status, and database availability analysis.
 </li>
 <li>
 Hands-on experience with Grafana for dashboard review, alert visualization, service health monitoring, and operational reporting.
 </li>
 <li>
 Experience using Prometheus for metrics collection, alert rule validation, service target health, scrape status checks, and metric-based troubleshooting.
 </li>
 <li>
 Experience using Loki for log search, log correlation, application log analysis, infrastructure log review, and incident investigation.
 </li>
 <li>
 Experience using Tempo for distributed trace analysis, request flow review, latency investigation, dependency mapping, and transaction-level troubleshooting.
 </li>
 <li>
 Good working knowledge of the open-source ecosystem used in cloud-native operations, observability, automation, container platforms, logging, tracing, monitoring, and service reliability engineering.
 </li>
 <li>
 Ability to analyze logs, metrics, traces, alerts, dashboards, events, and performance indicators to isolate technical issues and support timely service restoration.
 </li>
 </ul>
 
 
 Experience and Qualifications
 
 
 <ul>
 <li>
 3&ndash;6 years of experience in SRE, platform support, cloud operations, Kubernetes operations, application production support, or managed services support.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or a related discipline.
 </li>
 <li>
 Experience supporting business-critical production environments with defined SLA, OLA, escalation, and operational governance processes.
 </li>
 <li>
 Exposure to 24x7 support models, shift operations, major incident calls, client-facing operations, and cross-functional technical coordination.
 </li>
 <li>
 Preferred certifications include Google Cloud Associate Cloud Engineer, Google Cloud Professional Cloud DevOps Engineer, OCI Foundations Associate, OCI Architect Associate, Certified Kubernetes Administrator, Certified Kubernetes Application Developer, Kubernetes and Cloud Native Associate, Prometheus/Grafana observability training, SRE Foundation, or ITIL Foundation.
 </li>
 </ul>
 
 
 Behavioral and Operational Competencies
 
 
 <ul>
 <li>
 Strong analytical thinking and structured troubleshooting approach across cloud, Kubernetes, network, database, messaging, caching, storage, and observability layers.
 </li>
 <li>
 Ability to work under pressure during high-severity incidents, production outages, cloud service degradation, Kubernetes failures, Kafka issues, Redis issues, database issues, storage access failures, and network connectivity problems.
 </li>
 <li>
 Ability to prioritize multiple incidents, alerts, requests, platform issues, and operational tasks in a time-sensitive environment.
 </li>
 <li>
 Good collaboration skills across L1, L2, L3, platform engineering, cloud, Kubernetes, network, database, application, and vendor teams.
 </li>
 <li>
 Willingness to learn and continuously improve skills across GCP, OCI, Kubernetes, Kafka, Redis, S3-compatible storage, event bus, databases, Grafana, Tempo, Loki, Prometheus, and the wider open-source ecosystem.
 </li>
 </ul>
 
 
 Key Deliverables and Success Measures
 
 
 <ul>
 <li>
 Timely resolution of L2 incidents within agreed SLA and OLA targets across GCP, OCI, Kubernetes, network services, Kafka, Redis, S3-compatible storage, event bus, databases, and observability platforms.
 </li>
 <li>
 Improved service availability, reduced recurring incidents, and faster mean time to restore service across the defined SRE support landscape.
 </li>
 <li>
 High-quality incident documentation, RCA inputs, runbooks, SOPs, alert response guides, and knowledge articles for the supported technology stack.
 </li>
 </ul>
 
 
 
</div>

Site Reliability Engineer

The Connected Co

<div>
 
 One of our key clients is seeking an experienced
 
 DevOps Engineer
 
 to play a critical role in designing, implementing, and managing cloud infrastructure, deployment pipelines, and operational processes.
 
 
 
 
 
 The successful candidate will be responsible for ensuring the
 
 reliability,
 
 
 scalability, security, compliance and performance
 
 of a highly available platform while driving automation and continuous improvement across the engineering function.
 
 
 
 
 
 Salary: Up to 20k.
 
 
 To be based full time in Riyadh office
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Manage and maintain cloud infrastructure across multiple environments, ensuring security, availability, and performance.
 </li>
 <li>
 Deploy, administer, and optimize Kubernetes clusters and containerized applications.
 </li>
 <li>
 Design, implement, and support CI/CD pipelines to enable efficient and reliable software delivery.
 </li>
 <li>
 Develop and maintain Infrastructure as Code (IaC) and automation solutions to streamline operations.
 </li>
 <li>
 Implement monitoring, logging, and alerting solutions to ensure platform reliability and proactive issue resolution.
 </li>
 <li>
 Enforce security best practices, including access management, secrets management, vulnerability remediation, and infrastructure hardening.
 </li>
 <li>
 Collaborate with engineering and cybersecurity teams to support secure deployments, incident response, and compliance requirements.
 </li>
 <li>
 Maintain technical documentation and promote DevOps best practices across the organization.
 </li>
 </ul>
 
 
 
 
 
 Critical Competencies:
 
 
 <ul>
 <li>
 Strong experience with Linux system administration.
 </li>
 <li>
 Hands-on experience with GCP, AWS, or Azure (GCP preferred).
 </li>
 <li>
 Proven expertise in Kubernetes cluster management.
 </li>
 <li>
 Experience with CI/CD tools, including ArgoCD and GitHub Actions.
 </li>
 <li>
 Proficiency in Terraform for Infrastructure as Code.
 </li>
 <li>
 Experience with Ansible for configuration management.
 </li>
 <li>
 Strong knowledge of observability tools, including Prometheus and Grafana.
 </li>
 <li>
 Experience managing secrets using HashiCorp Vault.
 </li>
 <li>
 Proficiency in Bash and Python scripting.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Ability to work effectively in a fast-paced, collaborative environment.
 </li>
 </ul>
 
 
 
 
 Successful candidates who meet the job description will be contacted.
 
</div>

DevOps Engineer

Gathern

<div>JOB PURPOSE:
The Integration Lead is responsible for designing, managing, and optimizing system integrations across internal and external platforms to ensure seamless data flow, operational efficiency, and scalable technology solutions. The role leads integration initiatives, supports cross-functional alignment, and ensures integration reliability, security, and performance in line with business and technical requirements.
 KEY ACCOUNTABILITIES:<ul><li>
Lead the planning, implementation, and maintenance of system integrations across platforms and third-party services.</li><li>
Design scalable and secure integration architectures and APIs.</li><li>
Collaborate with Product, Engineering, Finance, Operations, and external vendors to identify integration requirements.</li><li>
Monitor integration performance, troubleshoot issues, and ensure system reliability.</li><li>
Ensure data consistency, synchronization, and accuracy across integrated systems.</li><li>
Manage integration lifecycle activities, including testing, deployment, documentation, and support.</li><li>
Lead technical discussions and provide guidance on integration best practices and standards.</li><li>
Ensure integrations comply with security, governance, and data protection requirements.</li><li>
Support automation initiatives to improve operational efficiency and reduce manual processes.</li><li>
Maintain integration documentation, workflows, and technical specifications.</li><li>
Coordinate with stakeholders to prioritize integration enhancements and resolve dependencies.</li><li>
Continuously evaluate new technologies and tools to improve integration capabilities.</li></ul>
CORE BEHAVIORAL COMPETENCIES:<ul><li>
Strategic Vision and Agility &ndash; Proficient</li><li>
Scalable Execution &ndash; Proficient</li><li>
Governance and Ethical Conduct &ndash; Proficient</li><li>
Stakeholder Management &ndash; Proficient</li><li>
People Leadership and Capability Building &ndash; Proficient</li><li>
Customer Centricity &ndash; Proficient</li><li>
Innovative Thinking and Digital Fluency &ndash; Proficient</li><li>
Growth Mindset &ndash; Proficient
</li></ul>TECHNICAL COMPETENCIES:<ul><li>
API Management &amp; Integration Architecture</li><li>
System Integration &amp; Middleware Platforms</li><li>
RESTful APIs &amp; Web Services</li><li>
Data Mapping &amp; Transformation</li><li>
Cloud Integration Technologies</li><li>
Database &amp; Data Flow Management</li><li>
Integration Security &amp; Authentication Protocols</li><li>
Troubleshooting &amp; Root Cause Analysis</li><li>
Technical Documentation</li><li>
Automation &amp; Workflow Optimization</li><li>
Vendor &amp; Third-Party System Management</li></ul> 

Requirements 
Education: 
Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering, or related field.
Experience:
5+ years of experience in system integrations, API management, or software engineering roles, including experience leading integration projects and cross-functional coordination.</div>

Integration Lead

Qualcomm

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 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 intelligent edge devices, next-generation computing platforms, and advanced AI solutions. Qualcomm&rsquo;s leadership in AI, high‑performance compute, and connectivity is driving innovation across cloud, edge, and data center environments - delivering scalable, power‑efficient platforms that power the next generation of intelligent infrastructure.
 
 
 
 About The Role
 
 
 
 Qualcomm is seeking a
 
 Machine Learning Operations &amp; Customer Support Engineer
 
 within the Customer Engineering team to support strategic customers deploying AI inference workloads on advanced Qualcomm AI inference accelerators. These accelerators utilize Qualcomm's expertise in hardware-accelerated AI to deliver high-performance, energy-efficient generative AI and computer vision inference solutions for modern data centers.
 
 
 This is a
 
 customer-facing, production-critical role
 
 focused on ensuring maximum system uptime, reliability, and performance, while resolving customer support cases within defined SLAs/KPIs. The role requires deep expertise across ML inference pipelines, systems troubleshooting, and data center operations, working closely with customers, internal engineering, and product teams.
 
 
 The ideal candidate will bring a strong foundation in ML model deployment, systems engineering, rack-scale management software, DevOps/MLOps automation, and cross functional collaboration.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Customer Support &amp; SLA Ownership
 
 
 
 <ul>
 <li>
 Act as the primary technical escalation point for customer issues related to AI inference workloads
 </li>
 <li>
 Own end-to-end case management, ensuring resolution within agreed SLAs and KPIs
 </li>
 <li>
 Drive incident response, triage, and root cause analysis (RCA).
 </li>
 <li>
 Provide timely and transparent communication to customers on issue status and resolution
 </li>
 <li>
 Maintain high levels of customer satisfaction and service reliability
 
 
 
 </li>
 </ul>
 
 Uptime, Reliability &amp; Operations
 
 
 
 <ul>
 <li>
 Ensure high availability and uptime of customer AI deployments (rack-scale systems)
 </li>
 <li>
 Monitor system health, performance metrics, and workload behavior
 </li>
 <li>
 Implement and manage failover, redundancy, and resiliency mechanisms
 </li>
 <li>
 Proactively identify risks and implement preventative actions
 
 
 
 </li>
 </ul>
 
 AI Inference Workload Support
 
 
 
 <ul>
 <li>
 Support deployment, optimization, and troubleshooting of ML inference pipelines
 </li>
 <li>
 Debug issues across model, runtime, system, and hardware layers
 </li>
 <li>
 Analyze model performance (latency, throughput, accuracy tradeoffs) in production
 </li>
 <li>
 Support frameworks such as PyTorch, TensorFlow, ONNX, and model conversion flows
 </li>
 <li>
 Assist in model optimization techniques (quantization, batching, compilation, runtime tuning)
 
 
 
 </li>
 </ul>
 
 System &amp; Infrastructure Engineering
 
 
 
 <ul>
 <li>
 Support bare-metal and virtualized environments for AI workloads
 </li>
 <li>
 Troubleshoot issues across Linux OS, drivers, firmware, and networking stack
 </li>
 <li>
 Support deployment and maintenance using Infrastructure as Code (IaC) and automation tools
 </li>
 <li>
 Work with DCIM tools and monitoring systems for infrastructure visibility
 </li>
 <li>
 Coordinate with hardware vendors for accelerator, server, and networking issues
 
 
 
 </li>
 </ul>
 
 Monitoring, Observability &amp; Automation
 
 
 
 <ul>
 <li>
 Implement and manage monitoring systems (logs, metrics, traces)
 </li>
 <li>
 Build dashboards for uptime, SLA adherence, performance, and utilization
 </li>
 <li>
 Automate repetitive operational tasks using scripts and workflows
 </li>
 <li>
 Establish and enforce runbooks and standard operating procedures (SOPs)
 
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with Customer Engineering, Product, Engineering, and Support teams
 </li>
 <li>
 Provide structured feedback to engineering for product improvements and defect resolution
 </li>
 <li>
 Support customer onboarding, deployment readiness, and operational handover
 </li>
 <li>
 Participate in customer reviews, escalations, and technical deep dives
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
 </li>
 <li>
 10&ndash;15+ years of experience in ML operations, systems engineering, or customer support engineering
 </li>
 <li>
 Proven experience in customer-facing technical roles with SLA-driven support models
 </li>
 <li>
 Strong experience with AI/ML inference workloads in production environments
 </li>
 <li>
 Deep understanding of end-to-end ML inference pipelines
 </li>
 <li>
 Hands-on experience with Linux systems, system bring-up, drivers, and debugging tools
 </li>
 <li>
 Strong understanding of AI accelerator architecture and system bottlenecks
 </li>
 <li>
 Experience with model deployment, optimization, and performance tuning
 </li>
 <li>
 Experience with data center operations and rack-scale deployments
 </li>
 <li>
 Familiarity with bare-metal, virtualization, and containerization technologies (Docker, Kubernetes)
 </li>
 <li>
 Knowledge of networking concepts (TCP/IP, RDMA, storage systems)
 </li>
 <li>
 Experience with cloud and hybrid environments
 </li>
 <li>
 Experience with monitoring/observability tools (Prometheus, Grafana, ELK, etc.)
 </li>
 <li>
 Strong skills in incident management, RCA, and production operations
 </li>
 <li>
 Experience defining and tracking SLAs, KPIs, and operational metrics
 </li>
 <li>
 Proficiency in Python, Bash, or similar scripting languages
 </li>
 <li>
 Experience in automation, DevOps, and MLOps tooling
 </li>
 <li>
 Strong problem-solving and diagnostic skills
 </li>
 <li>
 Excellent communication and customer engagement skills
 </li>
 <li>
 Ability to operate in high-pressure, mission-critical environments
 </li>
 <li>
 High attention to detail with a focus on quality, reliability, and accountability
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Qualcomm Cloud AI or similar AI accelerator platforms
 </li>
 <li>
 Experience supporting large-scale AI deployments (LLMs, CV pipelines, generative AI)
 </li>
 <li>
 Familiarity with inference runtimes (TensorRT, ONNX Runtime, custom runtimes)
 </li>
 <li>
 Experience with CI/CD pipelines for ML deployment
 
 
 
 </li>
 </ul>
 
 Why Join Qualcomm
 
 
 
 At Qualcomm, you&rsquo;ll work at the intersection of
 
 AI silicon, system architecture, and real
 
 ‑
 
 world deployment
 
 . You will engage directly with strategic customers, influence next‑generation AI data center platforms, and help define scalable, power‑efficient infrastructure for the AI era. This role provides a unique opportunity to shape both
 
 technology direction and customer outcomes
 
 , while working with world‑class engineering and product teams.
 
 
 
 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>
 <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>
 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).
 
 
 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>

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

HALA

<div>
 
 
 Who Are We
 
 
 
 
 HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools.
 
 
 
 HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations.
 
 
 
 Founded in 2017, HALA is currently licensed by the Saudi Arabian Central Bank.
 
 
 
 
 Job Summary
 
 
 The Site Reliability Engineer (SRE) is responsible for ensuring the reliability, availability, performance, and scalability of the organization's infrastructure and applications. The role focuses on automating operations, managing cloud and Kubernetes environments, maintaining CI/CD pipelines, monitoring system health, and resolving production issues. Working closely with development teams, the SRE helps build resilient, secure, and efficient platforms that support continuous delivery and business growth.
 
 
 &nbsp;
 
 
 
 
 Tasks &amp; Responsibilities:&nbsp;
 
 
 
 <ul>
 <li>
 Run the cloud environment by monitoring availability and taking a holistic view of system health
 </li>
 <li>
 Build software and systems to manage platform infrastructure and applications
 </li>
 <li>
 Improve reliability, quality, and time-to-market of our suite of software solutions
 </li>
 <li>
 Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
 </li>
 <li>
 Provide primary operational support and engineering for multiple large, distributed software applications
 </li>
 <li>
 Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
 </li>
 <li>
 Partner with development teams to improve services through rigorous testing and release procedures
 </li>
 <li>
 Participate in system design consulting, platform management, and capacity planning
 </li>
 <li>
 Create sustainable systems and services through automation and uplifts
 </li>
 <li>
 Balance feature development speed and reliability with well-defined service level objectives
 </li>
 <li>
 Deploy updates and fixes
 </li>
 <li>
 Build tools to reduce occurrences of errors and improve customer experience
 </li>
 <li>
 Perform root cause analysis for production errors
 </li>
 <li>
 Investigate and resolve technical issues
 </li>
 <li>
 Design procedures for system troubleshooting and maintenance
 </li>
 </ul>
 
 &nbsp;
 
 
 Requirements
 
 :&nbsp;
 <ul>
 <li>
 Bachelor&rsquo;s Degree in computer science, information technology, or equivalent field of studies.
 </li>
 <li>
 The education levels can be replaced by years of experience
 </li>
 <li>
 3+ years of experience in a similar position (SRE, DevOps, or infrastructure engineer).
 </li>
 <li>
 Advanced knowledge of compliance and regulations
 </li>
 <li>
 Experience with Kubernetes administration.
 </li>
 <li>
 Experience with infrastructure as code tools such as Terraform and Ansible.
 </li>
 <li>
 Experience with at least one of the major cloud providers: AWS, GCP, Azure, or OCI.
 </li>
 <li>
 Experience with architecting, developing, and troubleshooting large-scale systems.
 </li>
 <li>
 Experience building CI/CD pipelines (preferably GitOps).
 </li>
 <li>
 Experience with monitoring and observability tools such as Prometheus, Loki, Jaeger, and Sentry.
 </li>
 <li>
 Experience in managing databases including (backup and restore plans, replication, and clustering) such as PostgresSQL, and MongoDB.
 </li>
 <li>
 Good networking knowledge (preferably experience with VPNs and Service Mesh)
 </li>
 </ul>
 
 Core Competencies:
 
 
 
 
 
 
 
 <ul>
 <li>
 Self-Actualization &amp; Fulfilment: Proficiency Level &ndash; ADVANCED
 </li>
 <li>
 Team Synergy &amp; Development: Proficiency Level - ADVANCED
 </li>
 <li>
 Entrepreneurial Mindset &amp; Drive: Proficiency Level - ADVANCED
 </li>
 <li>
 Business Acumen &amp; Diligence: Proficiency Level - ADVANCED
 </li>
 </ul>
 
 
 
 &nbsp;
 
 
 What We Offer You
 
 
 
 We believe you will love working at HALA!
 
 <ul>
 <li>
 We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in-office, and hybrid work setups.
 </li>
 <li>
 We offer highly competitive compensation packages, including the potential for shares.
 </li>
 <li>
 We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.
 </li>
 <li>
 Join a talented team of over 30 nationalities working in 7 countries and gain valuable experience in an exciting industry.
 </li>
 <li>
 We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.
 </li>
 <li>
 You will be given a lot of responsibility and trust.&nbsp;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>
 &nbsp;
 
 If you think you have what it takes to join a remarkable team #apply_now&nbsp;
 
 
 &nbsp;
 
</div>

Parsons Corporation

<div>
 In a world of possibilities, pursue one with endless opportunities. Imagine Next!
 
 
 At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible.
 
 
 
 Job Description
 
 
 
 Parsons is looking for an amazingly talented
 
 Network Systems Engineer - Saudi national
 
 to join our team! In this role you will get to support the monitoring, administration, development, and optimization of enterprise telecommunications and IP networks. You will contribute to network performance monitoring, systems integration, software development, and operational support to ensure reliable, secure, and high-performing network services across mission-critical environments.
 
 
 What You'll Be Doing
 
 
 <ul>
 <li>
 Monitor and analyze the performance, availability, and reliability of enterprise telecommunications and IP networks.
 </li>
 <li>
 Collect, interpret, and report network performance metrics and operational data to support system performance, capacity planning, and service reporting.
 </li>
 <li>
 Develop and maintain software applications and automation scripts using programming languages such as C, C++, Java, PERL, AWK, and SED.
 </li>
 <li>
 Configure, monitor, and support TCP/IP-based network environments and associated communication protocols.
 </li>
 <li>
 Utilize network management platforms to monitor network health, troubleshoot issues, and improve operational performance.
 </li>
 <li>
 Support the integration and maintenance of enterprise network management tools and monitoring solutions.
 </li>
 <li>
 Develop and maintain web-based interfaces and reporting tools using HTML, CGI, ASP, or equivalent web technologies.
 </li>
 <li>
 Analyze network events and recommend performance improvements and optimization strategies.
 </li>
 <li>
 Assist in troubleshooting complex network and system issues while supporting incident resolution activities.
 </li>
 <li>
 Support network upgrades, system implementations, and technology refresh initiatives.
 </li>
 <li>
 Maintain accurate technical documentation, operational procedures, and system configurations.
 </li>
 <li>
 Collaborate with multidisciplinary engineering and IT teams to deliver reliable network services.
 </li>
 <li>
 Provide technical guidance and operational support to project teams and stakeholders.
 </li>
 <li>
 Serve as a technical resource for managers and team members on network-related matters.
 </li>
 <li>
 Support continuous improvement initiatives by identifying opportunities to enhance network performance, automation, and operational efficiency.
 </li>
 <li>
 Perform other responsibilities associated with this position as appropriate.
 
 
 
 </li>
 </ul>
 
 What Required Skills You'll Bring
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or a related technical discipline.
 </li>
 <li>
 Minimum 2+ years of professional experience in network engineering, systems engineering, telecommunications, or related IT environments.
 </li>
 <li>
 Strong understanding of TCP/IP networking principles and protocols.
 </li>
 <li>
 Working knowledge of SNMP, ATM, Frame Relay, and enterprise networking concepts.
 </li>
 <li>
 Experience developing software using C, C++, or Java.
 </li>
 <li>
 Experience developing automation scripts using PERL, AWK, SED, Shell, or similar scripting languages.
 </li>
 <li>
 Experience with enterprise network management and monitoring tools.
 </li>
 <li>
 Familiarity with web development technologies including HTML, CGI, ASP, or similar technologies.
 </li>
 <li>
 Knowledge of Windows and UNIX/Linux operating systems, including Solaris or Windows Server environments.
 </li>
 <li>
 Strong analytical, troubleshooting, and problem-solving skills.
 </li>
 <li>
 Excellent written and verbal communication skills.
 </li>
 <li>
 Ability to work independently while supporting multidisciplinary technical teams.
 
 
 
 </li>
 </ul>
 
 What Desired Skills You'll Bring
 
 
 
 <ul>
 <li>
 Master's Degree in Computer Science, Information Technology, or a related technical field.
 </li>
 <li>
 Experience supporting commercial telecommunications or enterprise IP network environments.
 </li>
 <li>
 Experience with network monitoring platforms such as HP OpenView (HPOV), Netcool, NerveCenter, or equivalent enterprise monitoring solutions.
 </li>
 <li>
 Familiarity with network performance analysis, capacity planning, and operational reporting.
 </li>
 <li>
 Knowledge of network automation and systems integration best practices.
 </li>
 <li>
 Experience supporting mission-critical or large-scale enterprise infrastructure.
 </li>
 <li>
 Understanding of cybersecurity principles and secure network operations.
 </li>
 <li>
 Knowledge of virtualization, cloud networking, or hybrid infrastructure environments.
 </li>
 <li>
 Industry certifications such as CCNA, CCNP, Network+, JNCIA, or equivalent are considered an asset.
 </li>
 <li>
 Strong customer service orientation with the ability to communicate technical concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Commitment to continuous learning and professional development in networking and emerging technologies.
 
 
 
 </li>
 </ul>
 Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.
 
 
 We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!
 
 
 Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.
</div>

Data Center Engineer (Saudi National)

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