deployment engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description &ndash; System Engineer</h1>
Position: System Engineer 
Project Duration: 3 Months 
Location: Onsite 
Language: Arabic (Mandatory) 
Experience: 5+ Years 
Education: Bachelor's Degree in Information Technology or equivalent.<h2 class="jobSectionHeader">
Job Summary</h2>
We are seeking experienced System Engineers to design, implement, configure, and maintain enterprise systems supporting the Committees Management System.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design system architecture.</li><li>
Configure servers and infrastructure.</li><li>
Install and maintain applications.</li><li>
Monitor system performance.</li><li>
Troubleshoot technical issues.</li><li>
Ensure system security and availability.</li><li>
Support deployment activities.</li><li>
Prepare technical documentation.</li></ul><h2 class="jobSectionHeader">
Required Skills</h2><ul><li>
Windows/Linux Administration</li><li>
Virtualization</li><li>
Networking</li><li>
System Monitoring</li><li>
Backup &amp; Recovery</li><li>
Security Best Practices</li><li>
Cloud Platforms</li><li>
Troubleshooting</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's Degree in IT or equivalent.</li><li>
Minimum 5 years of System Engineering experience.</li><li>
Arabic language proficiency is mandatory.</li><li>
Onsite availability.</li></ul>
kvIrq9rFht</div>

System Engineer

MOZN

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

AI Engineer

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
About Us
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.
As a Qualcomm Datacenter AI Systems Engineer focused on AI Inference Platforms and Competitive Analysis, you will evaluate, benchmark, optimize, and validate end-to-end AI inference solutions built on Qualcomm AI accelerators. You will analyze real-world customer deployments, assess competitive platforms, and develop fact-based insights on performance, scalability, ecosystem readiness, and operational simplicity across modern GenAI workloads including LLMs, VLMs, RAG, and agentic applications.
About the role
In this role, you will work across hardware, software, frameworks, and deployment architectures to identify differentiators, gaps, and opportunities that shape Qualcomm's AI platform roadmap and customer engagement strategy. You will collaborate closely with architecture, product, systems, customer engineering, business development, and ecosystem teams to establish Qualcomm AI accelerators as a leading platform for enterprise AI inference deployments.
Minimum Qualifications:
<ul><li>Bachelor&rsquo;s degree in engineering, computer science, or Data Science with 8+ years of experience
</li><li>Master's degree in Engineering, Computer Science, Data Science or related field and 4+ year of related work experience.
</li></ul>OR
<ul><li>PhD in Engineering, Computer Science, or related field and 4+ years of Experience.
</li></ul>Required Skills:
<ul><li>Strong proficiency in Python and common AI/ML frameworks such as PyTorch, TensorFlow, or ONNX.
</li><li>Solid understanding of ML model development, deployment, and AI inference concepts for datacenter workloads.
</li><li>Strong foundation in system performance profiling, benchmarking, parallel computing, and workload analysis.
</li><li>Working knowledge of Linux-based development, containerized deployment, and cloud-native infrastructure concepts.
</li><li>Strong analytical, communication, and cross-functional collaboration skills with the ability to summarize technical findings clearly.
</li></ul>Preferred Qualifications:
<ul><li>Master's or PhD degree in Engineering, Computer Science, Information Systems, Electrical Engineering, Physics, or a related technical field with 4+ years of experience.
</li><li>Strong understanding of GenAI and enterprise inference workloads, including LLMs, VLMs/LVMs, embeddings, diffusion models, RAG pipelines, agents, and multi-turn application patterns.
</li><li>Hands-on experience evaluating AI accelerator platforms and deployment ecosystems, including Qualcomm AI inference accelerators and competitive platforms such as NVIDIA and AMD.
</li><li>Experience with production inference frameworks and serving stacks such as vLLM, Triton Inference Server, TensorRT-LLM, SGLang, KServe, Ray Serve, TorchServe, or equivalent model-serving technologies.
</li><li>Deep understanding of inference performance fundamentals, including prefill/decode behavior, KV-cache utilization, batching, scheduling, quantization, memory bandwidth, latency, throughput, TTFT, TPOT, and scaling efficiency.
</li><li>Experience designing and executing fact-based competitive benchmarks across single-node and multi-node deployments using representative customer workloads, model configurations, and deployment patterns.
</li><li>Knowledge of distributed inference architectures, including tensor parallelism, pipeline parallelism, expert parallelism/MoE serving, disaggregated serving, routing, autoscaling, and cluster-level orchestration.
</li><li>Experience with containerized and cloud-native deployment workflows using Docker, Kubernetes, Helm, GitOps, CI/CD, observability stacks, and infrastructure automation.
</li><li>Ability to assess ecosystem readiness, operational simplicity, tooling maturity, model onboarding complexity, reference architectures, observability, supportability, and deployment documentation quality.
</li><li>Background in compiler/runtime optimization, graph lowering, operator fusion, kernel optimization, or hardware-aware model optimization for ML workloads is a plus.
</li><li>Experience conducting technical competitive analysis across AI hardware platforms, frameworks, software ecosystems, deployment architectures, and customer workflows.
</li><li>Experience building customer-facing technical collateral, competitive positioning, deployment guides, benchmark reports, executive briefings, and gap analysis for AI infrastructure products.
</li><li>Strong cross-functional collaboration skills with demonstrated ability to work across product, architecture, engineering, customer engineering, business development, and ecosystem partner teams in a matrixed organization.
</li></ul>Principal Duties and Responsibilities will include:
<ul><li>End-to-end competitive analysis for Qualcomm AI inference accelerators across hardware, software, model-serving frameworks, deployment workflows, and customer-facing GenAI inference solutions.
</li><li>Evaluate real customer deployment patterns, including LLM/VLM serving, RAG, agentic workflows, embedding services, multi-model applications, and enterprise inference pipelines, to identify where Qualcomm leads, is at parity, or has gaps.
</li><li>Develop objective benchmark methodologies and execute performance studies covering latency, TTFT, TPOT, throughput, tokens/sec/user, concurrency, utilization, power efficiency, cost efficiency, and single-node and multi-node scaling.
</li><li>Compare Qualcomm solutions against competitive platforms such as NVIDIA and AMD across deployment maturity, model coverage, framework support, ecosystem readiness, operational simplicity, and total solution capability.
</li><li>Analyze inference architecture tradeoffs involving vLLM, Triton Inference Server, KServe, Ray Serve, Kubernetes, orchestration layers, KV-cache management, batching strategies, quantization, and distributed serving patterns.
</li><li>Drive model onboarding prioritization by studying competitive usage, customer demand, model popularity, framework adoption, and readiness gaps across open-source and enterprise GenAI workloads.
</li><li>Build and maintain reference architectures, deployment playbooks, sizing guidance, reproducible benchmark recipes, and customer-ready solution blueprints for Qualcomm AI inference platforms.
</li><li>Partner with architecture, compiler, runtime, framework, systems, and product teams to translate competitive findings into product requirements, roadmap priorities, optimization opportunities, and ecosystem investments.
</li><li>Perform system-level debugging and root-cause analysis across model, framework, runtime, driver, hardware, networking, memory, and orchestration layers to explain performance or deployment gaps.
</li><li>Create clear, fact-based competitive positioning, leadership readouts, technical reports, and customer-facing collateral that communicate differentiators, risks, gaps, and recommended actions.
</li><li>Collaborate with customer engineering, business development, sales, and partner teams to support customer evaluations, proof-of-concepts, competitive bakeoffs, and deployment activities.
</li><li>Stay current with the evolving AI inference ecosystem, including emerging models, serving frameworks, accelerator platforms, open-source projects, benchmarking practices, and enterprise deployment trends.
</li></ul>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 Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*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.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

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

DeepSource Technologies

<div>We are seeking an experienced Resident Storage &amp; Backup Engineer to be based on-site at our client's premises, responsible for the day-to-day administration, monitoring, and support of enterprise storage and backup infrastructure. The ideal candidate will have deep hands-on expertise across the Dell EMC storage portfolio &mdash; including PowerMax, Data Domain, PowerScale, ECS, and PowerFlex &mdash; along with strong VMware virtualization knowledge and solid understanding of SAN/Ethernet fabric networking. This is a critical infrastructure role ensuring data availability, performance, and resilience for the client's environment.
Key Responsibilities<ul><li>
Administer, configure, and support Dell EMC PowerMax 8500 &amp; 2500 storage arrays, ensuring optimal performance, capacity planning, and availability.</li><li>
Manage and maintain Data Domain and Cyber Recovery Solution (CRS) environments, including backup job monitoring, troubleshooting, and isolated recovery vault operations.</li><li>
Administer PowerScale (scale-out NAS) environments, including cluster health monitoring, capacity management, and performance tuning.</li><li>
Support and maintain ECS (Elastic Cloud Storage) object storage infrastructure.</li><li>
Administer PowerFlex software-defined infrastructure, including deployment, scaling, and performance optimization.</li><li>
Provide hands-on support for VMware environments, including vSphere, vCenter, Aria (formerly vRealize), VMware Cloud Foundation (VCF), NSX-T, vRealize Automation (vRA), and vRealize Orchestrator (vRO).</li><li>
Manage and troubleshoot SAN and Ethernet fabric connectivity, zoning, and performance across the storage environment.</li><li>
Support VDI environments (Citrix) with a focus on storage performance and backend infrastructure health.</li><li>
Monitor daily backup and replication jobs, proactively identifying and resolving failures within SLA windows.</li><li>
Perform capacity planning, performance tuning, and lifecycle management across all storage platforms.</li><li>
Collaborate with infrastructure, virtualization, network, and security teams to ensure integrated, resilient IT operations.</li><li>
Maintain accurate documentation of configurations, procedures, and incident resolutions.</li><li>
Participate in disaster recovery planning, testing, and execution.</li><li>
Act as the primary on-site point of contact for storage and backup-related incidents, escalations, and change requests.</li></ul> 

Requirements 
Required Skills &amp; Experience<ul><li>
Proven hands-on experience with Dell EMC PowerMax 8500 &amp; 2500 arrays.</li><li>
Strong experience with Data Domain and Cyber Recovery Solution (CRS).</li><li>
Hands-on expertise with PowerScale, ECS, and PowerFlex.</li><li>
Strong working knowledge of VMware products &mdash; vSphere, vCenter, Aria, VCF, NSX-T, vRA, and vRO (very important).</li><li>
Solid understanding of SAN and Ethernet fabric design, zoning, and troubleshooting.</li><li>
Experience supporting VDI environments, preferably Citrix.</li><li>
Strong analytical and troubleshooting skills, with the ability to work independently in a resident/on-site capacity.</li><li>
Excellent communication and documentation skills.</li><li>
Willingness to work on-site full-time at the client location.</li></ul></div>

Senior Storage and Backup - PMax, PFlex, PScale, Riyadh, KSA

Parsons

<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:
The Electrical Engineer &ndash; ELV is responsible for supporting and supervising ELV works on high-rise building construction projects, ensuring that all systems are installed, tested, and commissioned in accordance with project requirements, approved drawings, specifications, quality standards, and safety regulations. The role is focused on construction supervision within the Parsons scope of work.
What You'll Be Doing:<ul><li>
Supervise and monitor ELV installation works on site, ensuring compliance with approved drawings, project specifications, codes, and standards.</li><li>
Review contractor submissions, shop drawings, method statements, material submittals, and technical proposals related to ELV systems.</li><li>
Inspect ongoing site activities related to ELV systems including, but not limited to, CCTV, access control, public address, fire alarm interfaces, structured cabling, BMS interfaces, and other low-current systems.</li><li>
Coordinate with other engineering disciplines, contractors, consultants, and project stakeholders to ensure proper integration of ELV systems within the building works.</li><li>
Ensure construction activities are progressing in line with the approved schedule and highlight any delays, risks, or technical concerns.</li><li>
Witness testing and commissioning activities for ELV systems and verify compliance with project and authority requirements.</li><li>
Monitor contractor performance in terms of quality, progress, safety, and resource deployment.</li><li>
Prepare site reports, inspection reports, snag lists, non-conformance reports, and follow up on corrective actions.</li><li>
Support the Resident Engineer / Construction Manager in resolving technical issues and ensuring smooth project delivery.</li><li>
Ensure all ELV works comply with local authority requirements, project standards, and SAPL supervision procedures.</li><li>
Participate in progress meetings, coordination meetings, and technical reviews as required.</li></ul>
What Required Skills You'll Bring:<ul><li>
Bachelor&rsquo;s degree in Electrical Engineering or related discipline.</li><li>
Professional registration or membership is an advantage.</li><li>
Minimum 8+ years of related experience in high-rise building construction projects.</li><li>
Strong experience in ELV systems supervision within construction projects.</li><li>
Previous experience in construction supervision, consultant, PMC, or engineering supervision roles is preferred.</li><li>
Good understanding of site execution, testing and commissioning, QA/QC requirements, and HSE compliance for ELV works.</li><li>
Experience in major building projects within Saudi Arabia or the GCC is an advantage.</li></ul>
What Desired Skills You'll Bring:<ul><li>
Good knowledge of ELV systems including CCTV, access control, structured cabling, fire alarm interfaces, public address, ICT systems, and BMS coordination.</li><li>
Familiarity with international standards, local codes, and authority requirements applicable to ELV works.</li><li>
Ability to review technical documents, drawings, and contractor submittals.</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!<div>
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></div>
 <div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div> 
Financial Wellness</div><div> 
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div> 
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div> 
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div> 
Veteran Support</div><div> 
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div> 
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div> 
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div>

Electrical Engineer - ELV:

TAWANTECH

<div>Job Summary
We are seeking an experienced T24 System Architect with deep expertise in Temenos Transact (T24) to design, implement, upgrade, and maintain Core Banking environments. The ideal candidate will lead T24 architecture initiatives, oversee system deployments, optimize performance, and ensure the stability, scalability, and availability of mission-critical banking platforms.
The successful candidate should possess strong hands-on experience with TAFC/TAFJ architecture, infrastructure design, environment management, system integration, and production support across the complete implementation lifecycle.
Key ResponsibilitiesSystem Architecture<ul><li>
Design and maintain scalable, secure, and highly available Temenos T24 system architectures.
</li><li>Define deployment architecture and environment strategies for Development, SIT, UAT, DR, and Production.
</li><li>Lead T24 infrastructure planning, sizing, and capacity management.
</li><li>Ensure high availability, disaster recovery readiness, and business continuity.
</li></ul>Implementation &amp; Deployment<ul><li>
Lead end-to-end T24 implementation and deployment activities.
</li><li>Plan and execute T24 installation, configuration, upgrades, and migrations.
</li><li>Support TAFC to TAFJ migration projects.
</li><li>Coordinate production deployments and Go-Live activities.
</li><li>Prepare deployment plans and rollback strategies.
</li></ul>System Administration<ul><li>
Administer Temenos T24 environments.
</li><li>Configure Single Instance and Multi-Instance environments.
</li><li>Monitor system health and availability.
</li><li>Troubleshoot production incidents and system failures.
</li><li>Perform patch management and system upgrades.
</li></ul>Performance &amp; Infrastructure<ul><li>
Optimize COB performance and batch processing.
</li><li>Perform system performance tuning.
</li><li>Monitor CPU, memory, storage, and application performance.
</li><li>Analyze bottlenecks and recommend infrastructure improvements.
</li></ul>Integration<ul><li>
Design and support integration between T24 and external systems.
</li><li>Manage Web Services and API connectivity.
</li><li>Support SWIFT integrations.
</li><li>Configure and troubleshoot IBM MQ messaging.
</li><li>Collaborate with middleware teams.
</li></ul>Middleware &amp; Database
Work with:<ul><li>
IBM WebSphere
</li><li>JBoss Enterprise Application Server
</li><li>IBM MQ
</li><li>Oracle Database
</li><li>Microsoft SQL Server
</li></ul>Support database connectivity, application servers, and middleware performance.
Operating Systems<ul><li>
Administer Linux and Unix servers.
</li><li>Manage shell scripts and scheduled jobs.
</li><li>Perform server monitoring and troubleshooting.
</li></ul>Project Delivery<ul><li>
Support Core Banking implementation projects.
</li><li>Participate in architecture reviews.
</li><li>Prepare technical documentation.
</li><li>Mentor junior T24 engineers and administrators.
</li>Collaborate with Infrastructure, Development, Database, Security, and Business teams. 
<li>
</li></ul> 
 
Requirements 
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
Minimum 8 years of experience in Temenos T24.
Strong experience in Core Banking implementations.
Experience in large-scale banking transformation projects.
Required Technical Experience
Strong hands-on experience with:
Temenos Transact (T24)
TAFC
TAFJ
T24 Architecture
System Administration
Environment Management
Multi-Instance Configuration
Performance Tuning
COB Optimization
Deployment Automation
Go-Live Support
Upgrade Projects
Disaster Recovery
High Availability
Infrastructure &amp; Middleware
Experience with:
IBM WebSphere
JBoss
IBM MQ
Oracle Database
Microsoft SQL Server
Linux
Unix
Integration Experience
Experience in:
Web Services
REST APIs
SWIFT Integration
Middleware Integration
Interface Management
Preferred Experience
TAFC to TAFJ Migration
Cloud-based deployments
CI/CD pipelines
Automation scripting
Banking infrastructure modernization</div>

T24 System Architect

Airbus

<div>Job Description:
The jobholder will have to perform the following activities:
A. Maintenance and Support
The main responsibility is to make our partner&rsquo;s staff able to take over the maintenance of hardware / software and support operations of the BEAM9 system. These operations consist of:
<ul><li>Support the Customer&rsquo;s IT Administration team, in daily monitoring and to insure the contact with the Maintenance team in France for IT activities and supplier for hardware replacement;
</li><li>Support the Customer&rsquo;s Production team, in day to day operation on GEOINT/IMINT activities, to take into account administration and to insure the contact with the Engineering team in France;
</li><li>Support IT Training activities;
</li><li>Support all operations in KSA, like deployment, acceptance phases or IT training;
</li><li>Contribute to continuous process improvement of the platform by supporting the deployment of software/hardware update and upgrade.
</li></ul>B. Customers&rsquo; relationship
<ul><li>Participate to all necessary meetings, conferences or workshops with our customers to insure the appropriate level of service;
</li><li>Contribute to reflect customer&rsquo;s expectations or request;
</li><li>Supporting the activity in its evolving context (support operational teams, provide operational updates and requirements).
</li></ul>C. Communication and reporting
<ul><li>Ensure regular reviews and updates on activities to the team and the program manager;
</li><li>To setup and maintain KPIs allowing the monitoring of the maintenance and support activities;
</li><li>Capitalize knowledge (documentation and procedure writing, good practices gathering&hellip;)
</li><li>Maintain good relationship with the different actors involved in the platform (customer, back-office, providers and partner);
</li><li>Support deployment, lifetime operation and performance management of all Maintenance Program deliverables;
</li></ul>This position is contingent upon obtaining the required security clearance.
<div></div>Main requirements
<ul><li>Must Have
<ul><li>Education: Master degree in computer science
</li><li>Successful experience in maintenance and support program;
</li><li>Communication skills to adapt to wide variety of interlocutors in a multicultural environment
</li><li>Windows environment: Active Directory (AD), Domain Name System (DNS), Distributed File System (DFS), GPO;
</li><li>OS: Ubuntu 24.04, Windows Server 2022, Windows 11 Linux knowledge (CentOS)
</li><li>Virtualization Nutanix (AHV &amp; NKP), Harbor and Kubernetes
</li><li>Storage: Ceph
</li><li>Backup: Veeam Backup
</li></ul></li></ul><ul><li>Additional skills
<ul><li>IMINT/GEOINT trade core and geospatial software (I4D, SOCET GXP)
</li><li>IT: hardware ( DELL server, Cisco),antivirus ESET, Firewall Stormshield/Opensense, PKI (EJBCA), Ansible
</li><li>Working with basic network devices and concept such as IP, DNS, firewall and routing.
</li><li>Knowledge in Database is a plus (Postgresql, MySQL, Elastic search)
</li><li>Knowledge in cloud technology (Docker, Kubernetes)
</li><li>Ability to learn and understand various, complex and technical subjects
</li><li>Analytical skills to summarize, simplify complex topics
</li><li>Ability to steer several activities in parallel
</li></ul></li><li>Languages
<ul><li>English, mandatory
</li><li>Arabic, mandatory
</li><li>French, a plus
</li></ul></li></ul>This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
Company:
Airbus Defence and Space Saudi Limited
Contract Type:
Fixed term
-
Experience Level:
Professional
Job Family:
Customer Eng.&amp;Technical Support&amp;Services &lt;JF-CS-PS&gt;
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
 
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</div>

Technical and Logistic Support

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