Senior Staff DevOps Engineer

flatgigs is hiring a Senior Machine Learning DevOps Engineer & IT Support specialist for its Dubai office. This onsite position focuses on building, securing, and maintaining the core systems that power our AI infrastructure. Role Overview This role combines MLOps, cloud networking, and IT service management. The position covers both hardware and software frameworks supporting machine learning workloads. Reliable support for production GPU environments and internal connectivity is essential to keep our team productive. Main Responsibilities Manage and scale multi-cluster GPU environments and high-compute AI workloads. Provide hands-on IT support, including user access, device management, and internal systems. Design and maintain secure cloud network architectures on Azure and GCP. Support MLOps pipelines and help deploy machine learning models. Administer internal IT infrastructure, including identity and access management (IAM), single sign-on (SSO), and mobile device management (MDM). Set up monitoring and alerting for GPU health, system performance, and security. Apply cloud security best practices across infrastructure and endpoints. Troubleshoot and resolve system, deployment, and connectivity issues. Work closely with AI engineers to optimize infrastructure for machine learning tasks. Location This is a full-time, onsite role based in Dubai, United Arab Emirates.

Join our innovative Technology Engineering team as a Senior DevOps Technology Engineer. We are searching for a talented individual with extensive experience in CI/CD practices to design, implement, and enhance our CI/CD pipelines, manage containerized environments, and promote DevOps best practices across the organization.Key ResponsibilitiesDesign and maintain robust, end-to-end CI/CD pipelines for enterprise applications.Optimize and manage container platforms leveraging OpenShift (Kubernetes-based PaaS).Automate the build, testing, and deployment processes utilizing Jenkins and GitHub.Implement and manage Service Mesh architectures (e.g., Istio).Integrate and oversee API Management platforms (preferably 3scale).Ensure code quality, security, and compliance through DevSecOps tools.Collaborate effectively with development, QA, and infrastructure teams to ensure seamless delivery.Monitor and enhance system performance, reliability, and scalability.Lead DevOps maturity initiatives and continuous improvement efforts.Required Skills & ExperienceProven hands-on experience in CI/CD pipeline development and automation.Expertise in:OpenShift / KubernetesJenkinsGitHub (GitOps practices preferred)Experience with Service Mesh (Istio or similar).Strong knowledge of API Management (3scale preferred).Familiarity with DevOps & DevSecOps tools such as:SonarQubeCheckmarxSysdigSCA (Software Composition Analysis tools)Cosign (Container Signing & Security)Solid understanding of containerization (Docker) and microservices architecture.Experience with cloud platforms (AWS/Azure/GCP) is advantageous.Preferred QualificationsExperience within the banking or financial services domain.Knowledge of Infrastructure as Code (Terraform/Ansible).Familiarity with monitoring tools (Prometheus, Grafana).DevOps/Cloud certifications will be considered a plus.Soft SkillsStrong problem-solving and analytical abilities.Exceptional communication and stakeholder management skills.Ability to thrive in a dynamic, fast-paced enterprise environment.

Join Delivery Hero as a Senior Data Scientist specializing in Artificial Intelligence and Machine Learning. In this pivotal role, you will leverage advanced analytical skills to drive innovative solutions that enhance our delivery services. Collaborate with cross-functional teams to develop algorithms and models that improve operational efficiency and customer satisfaction.

Join Flatgigs as a Senior DevOps Engineer specializing in CI/CD for a prestigious client within the banking technology sector. In this pivotal role, you will be instrumental in architecting and sustaining robust enterprise-grade CI/CD pipelines and DevOps platforms that drive large-scale application deployments and platform engineering efforts.The ideal candidate will possess extensive expertise in OpenShift environments, CI/CD automation, DevSecOps tools, and containerized platforms. Your contributions will enhance deployment automation, integrate application security measures, and bolster platform reliability across digital banking solutions.Key ResponsibilitiesCI/CD Pipeline DevelopmentDesign, construct, and uphold CI/CD pipelines tailored for enterprise applications.Automate build, testing, and deployment workflows adhering to DevOps best practices.Facilitate continuous integration and delivery across various development teams.Platform EngineeringOversee and enhance OpenShift-based container platforms.Establish scalable deployment pipelines for containerized applications.Guarantee platform reliability, scalability, and performance across diverse environments.DevSecOps IntegrationEmbed security scanning and code analysis tools within CI/CD pipelines.Promote secure development methodologies through automated security checks.Ensure compliance of pipelines with enterprise security and governance standards.Toolchain ManagementCollaborate with various DevOps and platform engineering tools including:JenkinsGitHubOpenShift / KubernetesService Mesh frameworksAPI management platformsExperience with DevSecOps tools such as:SonarQubeCheckmarxSysdigSoftware Composition Analysis (SCA)CoSignCollaboration & DeliveryWork in close partnership with development, architecture, and security teams.Support platform enhancements and DevOps automation initiatives.Troubleshoot deployment challenges and refine pipeline efficiency.Contribute to the establishment of DevOps standards, automation frameworks, and best practices.

We are looking for a talented and experienced Senior Data Engineer to join our dynamic Data Engineering team in Dubai. The successful candidate will play a pivotal role in designing, constructing, and enhancing scalable data pipelines, while also facilitating advanced analytics and machine learning applications. This position demands a deep understanding of big data technologies, data processing frameworks, and feature engineering to effectively support machine learning models in a live production setting.Key ResponsibilitiesCollect and assess business and technical requirements for effective data solutions.Conduct Exploratory Data Analysis (EDA) to reveal data patterns and assess data quality.Design, develop, and maintain high-performance, scalable data pipelines.Ingest both structured and unstructured data from various sources.Transform and process extensive datasets using PySpark and Python.Apply feature engineering techniques to enhance machine learning models.Optimize Spark jobs for peak performance and cost efficiency.Ensure the quality, integrity, and security of data across all pipelines.Collaborate closely with Data Scientists, Analytics Teams, and Delivery Leads.Participate in an Agile environment alongside cross-functional teams.Effectively communicate with stakeholders, providing valuable technical insights.Utilize Git for version control and manage CI/CD workflows.Required Skills & ExpertiseProven experience in Python and PySpark.In-depth knowledge of Apache Spark (performance tuning and optimization).Comprehensive understanding of the Hadoop ecosystem.Advanced skills in SQL.Experience in building end-to-end data and ML pipelines.Strong grasp of data modeling and warehousing concepts.Experience with feature engineering for ML applications.Familiarity with Git and version control systems.Exposure to cloud platforms (AWS/Azure/GCP) is advantageous.QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.8–10+ years of experience in Data Engineering / Big Data.Experience in the banking or financial services sector is preferred.Soft SkillsExceptional problem-solving and analytical skills.Strong communication and stakeholder management abilities.Capability to work both independently and collaboratively within a team.Adaptability to fast-paced Agile workflows.

Lean Technologies is building financial data infrastructure for the MENA region, serving a highly regulated market with strict security and reliability requirements. The company supports mission-critical financial services, focusing on scalable systems and high service levels. Role overview This Staff DevOps Engineer position combines DevOps, platform engineering, and site reliability engineering (SRE) principles. The role shapes how Lean's infrastructure is architected, managed, and scaled across hybrid and multi-cloud environments. Rather than following set plans, this position influences the direction and standards of infrastructure company-wide. Company growth and scale Lean has tripled its workforce in the past year and expects similar growth ahead. Originally launched as the region’s first Open Finance platform, Lean now provides multi-product infrastructure for payments, data, and lending across MENA. The company processes billions in transactions and serves over 350 clients, including Tabby, Tas'heel, and Hungerstation, with backing from investors like General Catalyst, Sequoia, and Shorooq. As Lean expands into new markets and products, infrastructure complexity and scale are increasing. This role is key to ensuring secure, reliable, and efficient scaling. What you will do Define and lead infrastructure architecture strategy across hybrid cloud environments (GCP, OCI, on-premises). Design and improve Kubernetes platforms for multi-region scalability, resilience, and cost management. Set and promote Infrastructure as Code and GitOps standards for all environments. Develop and scale observability systems, including metrics, logging, and tracing, to support proactive reliability. Lead efforts to meet and exceed SLA, SLO, and error budget goals. Oversee and refine incident management, including postmortems and systemic improvements. Drive automation for provisioning, scaling, patching, and operational tasks. Advocate for security, compliance, and reliability best practices, including SOC 2, ISO 27001, and CIS benchmarks. Work with engineering teams to improve developer experience and platform efficiency.

Join our dynamic Technology Engineering team as a Senior DevOps Engineer. In this pivotal role, you will leverage your expertise to design, implement, and optimize end-to-end CI/CD pipelines, manage containerized environments, and champion DevOps best practices throughout our organization.Key ResponsibilitiesArchitect, implement, and sustain comprehensive CI/CD pipelines for enterprise-level applications.Oversee and enhance container platforms utilizing OpenShift (Kubernetes-based PaaS).Automate build, testing, and deployment workflows through Jenkins and GitHub.Deploy and manage Service Mesh architectures (Istio or equivalent).Integrate and oversee API Management solutions (preferably 3scale).Uphold code quality, security, and compliance through innovative DevSecOps practices.Collaborate effectively with development, QA, and infrastructure teams to ensure smooth delivery processes.Continuously monitor and enhance system performance, reliability, and scalability.Lead initiatives to elevate DevOps maturity and promote continuous improvement.Required Skills & ExperienceExtensive hands-on experience in CI/CD pipeline creation and automation.Proficient in:OpenShift / KubernetesJenkinsGitHub (experience with GitOps practices is advantageous)Familiarity with Service Mesh (Istio or similar).In-depth knowledge of API Management (3scale preferred).Experience with a range of DevOps & DevSecOps tools including:SonarQubeCheckmarxSysdigSCA (Software Composition Analysis tools)Cosign (for Container Signing & Security)Strong understanding of containerization (Docker) and microservices architectures.Experience with cloud platforms (AWS/Azure/GCP) is a plus.Preferred QualificationsExperience in the banking or financial services sector.Knowledge of Infrastructure as Code (Terraform/Ansible).Familiarity with monitoring tools such as Prometheus and Grafana.DevOps/Cloud certifications are a plus.Soft SkillsExceptional problem-solving and analytical capabilities.Outstanding communication and stakeholder management skills.Adept at thriving in a fast-paced, enterprise environment.

About the Role:We are seeking a skilled DevOps Infrastructure Engineer to spearhead the automation and transformation of our infrastructure while implementing DevOps practices for enterprise-level cloud environments. The successful candidate will demonstrate extensive practical experience with Terraform, Ansible, and Jenkins, having successfully led at least two cloud migration projects transitioning from on-premises to public cloud platforms (Azure/AWS/OCI).Key Responsibilities: Lead initiatives for cloud transformation and infrastructure automation. Oversee the migration of on-premise workloads to public cloud environments. Implement Infrastructure-as-Code practices utilizing Terraform and Ansible. Manage CI/CD pipelines and adopt GITOPS practices for efficient configuration management. Automate the provisioning of infrastructure, database pipelines, and application deployments. Design and secure scalable, high-availability cloud infrastructures. Support integration with containerization technologies such as Docker, Kubernetes, and OpenShift. Collaborate effectively to manage APIs, certificates, SSL, DNS, and vault tools (CyberArk/HashiCorp). Ensure compliance with operating system standards and implement top-tier security practices. Engage in Agile/hybrid delivery models, ensuring robust communication with stakeholders. Required Skills & Qualifications:Education: Bachelor’s degree in Computer Science or a related field (Essential) Red Hat Certified Architect / Azure / AWS / OCI Certifications (Essential)Technical Skills: 8+ years of experience in DevOps, cloud infrastructure, or similar roles (Essential) Proficient in Terraform, Ansible, and Jenkins (Essential) Strong scripting skills in Groovy, Bash, PowerShell, or Python Familiarity with GITOPS, CI/CD practices, and public cloud environments In-depth knowledge of infrastructure components such as SSL, DNS, Active Directory, and Load Balancers Hands-on experience with container platforms and artifact repositories Experience with the ELK stack, database automation, and CIS compliance policies (Preferred) Behavioral Competencies: Strategic and analytical mindset with a focus on R&D Excellent communication skills (verbal, written, presentation) Familiarity with Agile methodologies and project management practices Why Join Us?Be part of an innovative team in Bengaluru dedicated to driving cloud-first and DevOps-led digital transformation for enterprise clients. Engage in meaningful projects utilizing the latest cloud and automation technologies within a highly collaborative setting.

Provide close support to a student during lessons, transitions, and break times.Assist in implementing behavioral and self-regulation strategies.Encourage socially appropriate behavior and positive interactions.Structure learning and working situations within the classroom.Actively supervise breaks to ensure a safe and successful school day.Implement measures from the Individualized Education Plan (IEP) in collaboration with the Inclusion Team.Document relevant observations and progress.Maintain close communication with the classroom teacher, support teacher, and school psychologist.Participate in team meetings as required.

Join our innovative team at gsstech-group as a Technology Engineer – DevOps (PaaS). We are looking for a dynamic professional with extensive hands-on experience in OpenShift administration and CI/CD pipeline management using Jenkins. Your focus on process optimization and driving continuous improvement within a PaaS framework will be key to our success.Key Responsibilities:Deliver PaaS DevOps support to enhance the Core Integration Team's capabilities.Oversee and manage OpenShift (Kubernetes-based platform) environments.Design, develop, and sustain CI/CD pipelines with Jenkins.Enhance existing build and deployment jobs for optimal performance, scalability, and reliability.Lead initiatives for process improvements and automation throughout DevOps workflows.Monitor platform performance and diagnose issues across various environments.Work closely with development, QA, and infrastructure teams to ensure seamless delivery.Maintain compliance with DevOps best practices, security standards, and governance policies.Assist in release management and deployment efforts.

Join our innovative team at mexdigital as an AI Data Engineer. In this role, you will be instrumental in shaping our data-driven solutions, leveraging cutting-edge AI technologies to enhance business processes and deliver impactful insights. Collaborate with cross-functional teams to design, implement, and maintain scalable data pipelines and machine learning models that drive our projects forward.

Learning Strategist, Enterprise Learning Operations | Onsite UAEThe OpportunityWe are excited to announce an opening for a Learning Strategist within our dynamic Enterprise Learning Operations team in Dubai. This position is crucial in driving the design and development of innovative learning solutions tailored for a large-scale enterprise environment. You will engage in in-depth discovery processes, apply strong instructional design principles, and uphold the highest standards of quality and coherence across all learning initiatives.The Learning Strategist is pivotal in determining how learning experiences are crafted, ensuring alignment with real business objectives while focusing on the learner's needs. This hands-on role is perfect for someone who thrives on inquiry, challenges existing assumptions, and excels at simplifying complex concepts into impactful learning experiences.In this role, you will actively engage with stakeholders, conduct discovery sessions, and work both onsite and in a hybrid capacity within the UAE.What You Will OwnDiscovery and Learning RequirementsLead comprehensive discovery initiatives to identify learning needs, performance gaps, and organizational context.Conduct thorough needs assessments through engaging conversations, observations, and data analysis.Transform business and performance requirements into precise learning objectives and design specifications.Develop detailed design briefs and documentation to guide the design and development teams effectively.Instructional Design Across ModalitiesCreate high-quality learning experiences across various modalities, including instructor-led, virtual, digital, and on-the-job training.Consistently apply best practices in instructional design and adult learning theories.Design engaging, learner-centered experiences that enhance retention and practical application.Establish evaluation approaches to assess learning outcomes and skill acquisition.Develop structured learning pathways that promote ongoing capability enhancement.Learning Brand and Design ConsistencyEnsure all learning solutions reflect and reinforce a cohesive enterprise learning identity.Maintain uniformity in tone, structure, and design methodology across all solutions.Question and challenge design or content decisions that compromise quality or consistency.Collaborate with stakeholders to ensure alignment on design expectations and standards.Working with Subject Matter ExpertsWork closely with subject matter experts to extract and distill critical knowledge.Challenge overly technical or dense content to ensure learning remains accessible and actionable.Facilitate collaborative sessions that convert expertise into clear, user-friendly learning content.

Learning Operations Manager for Enterprise Learning | Onsite in UAEAbout the RoleWe are seeking a dynamic and driven Learning Operations Manager to spearhead the daily operations of a comprehensive enterprise learning program across various locations in the UAE. This pivotal role ensures the smooth execution of scheduling, administration, contractor management, and communication, fostering a seamless learning experience.In this hands-on leadership position, you will oversee a distributed operations function responsible for high-volume training activities, ensuring service quality, operational efficiency, and adherence to client standards. The ideal candidate thrives in fast-paced, complex environments and excels at establishing structure and clarity to large-scale operations.Your Key ResponsibilitiesOperational LeadershipDirect the end-to-end learning operations across multiple sites, guaranteeing consistent and high-quality administrative support.Develop and uphold operational standards, processes, and service level expectations.Implement continuous improvement initiatives to enhance efficiency and scalability.Multi-Site Scheduling & CoordinationManage training schedules across Jebel Ali, Al Taweelah, and other locations.Balance capacity, learner demand, and operational limitations across sites.Resolve scheduling conflicts promptly and adjust to changing priorities effectively.Contractor & Vendor CoordinationOversee contractor support for administrative and operational activities.Manage onboarding, performance evaluation, and service delivery of contractors.Ensure contractors meet quality and compliance requirements.Communication & Mailbox ManagementHandle triage and response processes for communications channels related to learning operations.Provide timely, clear, and professional responses to learners and stakeholders.Monitor communication volume, response times, and escalation pathways.Compliance & Quality AssuranceEnsure all administrative processes comply with client policies and standards.Maintain thorough documentation, audit trails, and operational records.Support audit activities and implement corrective actions as necessary.Team LeadershipLead and develop a dedicated team of Training Coordinators and administrative personnel.Set clear expectations, provide coaching, and drive team performance.Foster a service-oriented, accountable team culture.

The Managed Port Calls team is seeking a Staff AI Engineer to spearhead AI innovation across the Marcura platform. This position is pivotal in architecting and delivering AI-driven features that significantly enhance operational efficiency, predictive analytics, and informed decision-making for our stakeholders.As a hands-on role, you will be responsible for executing the development of production-grade AI systems, mentoring fellow engineers in AI/ML best practices, and selecting the most suitable technologies and frameworks. Collaborating closely with product, backend, and data teams, you will integrate intelligent solutions throughout the platform, ensuring our AI applications are scalable, reliable, and provide tangible business value.Key responsibilities include:Transforming manual processes into fully automated systems.Implementing partial automation for processes where full automation is not feasible.Enhancing operational efficiency for both the operations team and clients.Minimizing repetitive manual tasks primarily for the operations team.Predicting outcomes based on existing historical data.Forecasting costs using historical information.Developing chatbot-style task automation.

Join Envision Employment Solutions as we seek a talented Senior Data Scientist for our esteemed partner, a global frontrunner in IT Services and Consulting.Position Overview:We are on the lookout for a highly knowledgeable Senior Data Scientist who will take charge of designing, constructing, and implementing cutting-edge machine learning and natural language processing (NLP) solutions, including applications based on large language models. The successful candidate will possess significant production experience, deep understanding of transformer architectures, and the capability to spearhead technical projects from inception through to deployment.Key Responsibilities:Machine Learning & NLP DevelopmentCraft and develop comprehensive machine learning models, with a strong emphasis on NLP applications.Fine-tune and deploy large language models, including GPT, BERT, and LLaMA, tailored for specific applications.Construct, train, and assess deep learning models utilizing frameworks like TensorFlow, PyTorch, or Keras.Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions.Enhance and optimize transformer-based models for tasks such as summarization, Q&A, and document intelligence.Assess and refine prompt engineering strategies for improved context efficiency.Data Engineering & PipelinesDevelop robust data pipelines utilizing tools such as Airflow, Spark, or Dataiku.Engage in data wrangling and preprocessing using libraries like pandas and NumPy.Design and oversee feature stores.Integrate and manage vector databases such as Pinecone, FAISS, or Chroma.Model Deployment & ProductionEstablish and maintain RESTful APIs for deploying ML models in production environments.Implement scalable AI services and manage continuous integration/continuous deployment (CI/CD) pipelines.Monitor model performance, including drift detection and lifecycle management.Conduct A/B testing, ensemble blending, and utilize explainability techniques such as SHAP and LIME.Statistical & Analytical ExpertiseUtilize advanced statistics, probability theory, and experimental design.Conduct hypothesis testing and data-driven analyses to inform business decisions.Collaboration & IntegrationCollaborate effectively with product and engineering teams to integrate AI solutions into production systems.Work alongside cross-functional stakeholders to deliver scalable AI capabilities.Requirements:Qualifications:Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field.At least 4 years of experience in machine learning and data science roles.Demonstrated history of delivering production-grade ML and NLP projects.Experience in leading small data science teams or technical projects.

Cerebras Systems is at the forefront of AI technology, crafting the world’s largest AI chip – a revolutionary architecture that is 56 times larger than traditional GPUs. Our innovative wafer-scale design delivers unparalleled AI compute power, equivalent to dozens of GPUs, all on a single chip. This unique approach allows us to achieve unmatched training and inference speeds, enabling machine learning practitioners to run extensive ML applications effortlessly, without the complexities of managing numerous GPUs or TPUs. Our esteemed clientele includes leading model laboratories, global corporations, and pioneering AI-native startups. Recently, OpenAI announced a multi-year partnership with Cerebras, aiming to deploy 750 megawatts of scale, significantly enhancing key workloads with ultra-fast inference. With our cutting-edge wafer-scale architecture, Cerebras Inference provides the fastest Generative AI inference solution globally, exceeding GPU-based hyperscale cloud inference services by over tenfold. This remarkable increase in speed is redefining the user experience in AI applications, fostering real-time iterations and bolstering intelligence through enhanced computational capabilities. About The RoleAs a Kernel Optimization Engineer, you will develop high-performance software solutions that bridge the gap between hardware and software, focusing on cutting-edge AI and High-Performance Computing (HPC) workloads. Your primary responsibility will be to implement, optimize, and scale deep learning operations, harnessing the full potential of our custom, massively parallel processor architecture.You will join a world-class team dedicated to the design, performance tuning, and validation of foundational machine learning and HPC kernels. This role includes developing a library of parallel and distributed algorithms to maximize compute utilization and enhance training efficiency for state-of-the-art AI models. Your contributions will be pivotal in unlocking the complete capabilities of our hardware and accelerating AI innovation.

Facilities Technology Specialist - Enterprise Learning OperationsAbout the RoleWe are seeking a highly skilled Facilities Technology Specialist to oversee the installation, maintenance, and troubleshooting of technology utilized in learning environments throughout the UAE. This role is dedicated to guaranteeing that all classroom and virtual learning technologies function seamlessly before and during program execution.You will collaborate closely with learning operations teams to prepare spaces, verify system functionality, and deliver real-time assistance to both facilitators and learners. This is a hands-on position ideal for individuals who are adept with audio-visual systems, can troubleshoot issues in high-pressure situations, and are committed to providing an exceptional learning experience.Your ResponsibilitiesSupport for Learning Environment TechnologySet up and configure classroom technologies, including AV systems and collaborative tools.Prepare spaces for various learning formats, including in-person, virtual, and hybrid sessions.Maintain equipment inventories and ensure all systems are operational.Testing & ReadinessConduct tests on audio, video, connectivity, and collaboration tools prior to sessions.Confirm that all systems are functioning correctly before the start of programs.Proactively identify and resolve potential issues in advance.Real-Time Technical SupportProvide on-site technical support during training sessions.Troubleshoot issues swiftly and effectively with minimal disruption.Assist facilitators and participants with any technical needs.Maintenance & Issue TrackingConduct regular checks and preventative maintenance on equipment.Document technical issues and their resolutions.Coordinate with IT teams for complex technical challenges.Location & Working ModelThis position is based in the UAE, primarily located at a training center in Dubai or Abu Dhabi, with travel to additional sites as necessary. On-site presence is mandatory during program delivery.Additional InformationThis role supports a dedicated client program and will be employed locally in the UAE in accordance with regional employment regulations.

Job Title: IT Support Engineer—Part TimeJob Type: Contract/Third Party AssociateLocation: Dubai, UAEAbout UsTrip.com Group Limited (Nasdaq: TCOM) is a premier global travel service provider, bringing together renowned platforms such as Trip.com, Ctrip, Skyscanner, and Qunar. Our mission is to empower local partners and travelers around the world to make informed, cost-effective travel bookings. This is achieved through an extensive aggregation of travel-related information and resources, complemented by our advanced transaction platform that includes mobile applications, websites, and 24/7 customer support. Since our inception in 1999 and our listing on Nasdaq in 2003, Trip.com Group has established itself as one of the largest travel companies worldwide in terms of gross merchandise value.Role OverviewWe are on the lookout for a dedicated IT Support Engineer with outstanding customer service skills. As the primary technical contact for on-site systems, you will handle all IT-related inquiries. The ideal candidate will be a versatile problem solver who thrives on learning new technologies and responding to inquiries swiftly and professionally. This position is perfect for those seeking to advance beyond desktop support. You will report directly to the Desktop Support Manager in Shanghai and work collaboratively to implement best practices in IT solutions while ensuring exceptional customer service standards are maintained.Key Responsibilities- Maintain the regular operation of the company’s internal client systems.- Resolve hardware issues related to client devices, networks, telephone lines, printers, etc.- Support and maintain internal client application systems.- Promptly respond to client requests and requirements.- Distribute, install, and troubleshoot client batch software.- Manage site cabling and coordinate with external suppliers as necessary.- Set up and manage security systems, computer room infrastructure, air conditioning, and environmental monitoring.- Provide remote IT services to employees located in the Middle East while based in Dubai.- Assist with various ad hoc projects as assigned.- Work 2-3 days per week on designated days.Key Qualifications and ExperienceEssential:- Maintain an inventory of IT assets.- A degree at HNC/HND/Ordinary/Bachelor’s level in a computer-related discipline or equivalent experience.- Proven experience in delivering high-volume, fast-paced desktop support.- Basic knowledge of network troubleshooting; CCNA certification is a plus.- Familiarity with security systems and environmental monitoring, with a willingness to learn new technologies in these areas.- Proficient in Microsoft Office applications (Word, Excel, PowerPoint, Project, Visio, etc.).- Knowledge of configuration management and routine maintenance.

Join our dynamic team as a Part-Time IT Support Engineer at Trip.com Group Limited, a renowned travel service provider. Your role will involve providing exceptional technical support for our internal systems while ensuring seamless operations for our clients. If you possess a passion for technology and a knack for problem-solving, we want to hear from you!As an integral part of our team in Dubai, you will be the go-to person for all IT-related inquiries. You will collaborate closely with the Desktop Support Manager based in Shanghai to deploy best practices and maintain our high service standards.