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INFRA ASSURE

Job Title : AI Platform EngineerAbout the RoleWe are looking for a skilled AI Platform Engineer to manage and operate an enterprise-grade AI infrastructure environment. You will be responsible for ensuring stable, secure, and high-performance AI platform operations supporting development, training, and deployment of AI workloads across the organization.Key Responsibilities<ul><li>Manage and operate the AI platform including Kubernetes cluster orchestration via SUSE Rancher and the NVIDIA AI Enterprise software stack</li><li>Administer and optimize Dell PowerEdge and PowerEdge XE servers used for AI compute workloads</li><li>Manage Dell PowerScale NAS storage including capacity planning, performance tuning, and availability</li><li>Monitor system health, performance, and resource utilization across compute, storage, and AI software layers</li><li>Collaborate with Data Science, MLOps, and Infrastructure teams to provision and support AI workloads</li><li>Implement and enforce best practices for security, compliance, backup, and disaster recovery</li><li>Support upgrades, patching, and lifecycle management of AI platform components</li><li>Create and maintain documentation for configurations, operational procedures, and troubleshooting playbooks</li></ul>Required Skills &amp; Experience<ul><li>Hands-on experience with SUSE Rancher or similar Kubernetes management platforms</li><li>Practical experience with NVIDIA AI Enterprise or comparable enterprise AI software stacks</li><li>Strong knowledge of Dell PowerEdge and XE series server administration</li><li>Solid experience with NAS storage platforms, preferably Dell PowerScale or similar scale-out solutions</li><li>Proficiency in Linux system administration</li><li>Strong understanding of containerization (Docker/OCI) and Kubernetes</li><li>Experience with monitoring, logging, and troubleshooting distributed systems</li></ul>Availability: Immediate joiners preferred (up to 30 days notice period considered)Pay: AED10,000.00 - AED40,000.00 per monthApplication Question(s):<ul><li>How Soon Are You Available to Join if selected ?</li></ul>Location:<ul><li>Dubai (Preferred)</li></ul>Work Location: In person

AI Platform Engineer

LanceSoft Middle East

<div>
 
 
 Position: Cloud &amp; Virtualization Engineer
 
 
 
 
 Duration: 2 yr ext.
 
 
 
 
 Job Location: Dubai(Onsite)
 
 
 
 
 Job Summary
 
 
 <ul>
 <li>
 The Azure &amp; OpenShift Cloud Engineer will be responsible for the design, deployment, administration, and optimization of DHA&rsquo;s Microsoft Azure cloud services and OpenShift container platform. The role ensures availability, scalability, security, compliance, and operational excellence of the cloud and container ecosystem while following ITIL-aligned managed services processes.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5+ years&rsquo; experience in enterprise cloud / infrastructure engineering.
 </li>
 </ul>
 
 
 Strong hands-on expertise in:
 
 
 <ul>
 <li>
 Microsoft Azure administration
 </li>
 <li>
 OpenShift platform operations
 </li>
 </ul>
 
 
 Strong understanding of:
 
 
 <ul>
 <li>
 Azure networking, identity, governance, backup/DR
 </li>
 <li>
 container orchestration and platform operations
 </li>
 </ul>
 
 
 Experience with automation and scripting:
 
 
 <ul>
 <li>
 PowerShell, Bash, Python, Terraform
 </li>
 </ul>
 
 
 Monitoring and troubleshooting skills using:
 
 
 <ul>
 <li>
 Azure Monitor / Log Analytics
 </li>
 <li>
 Prometheus / Grafana
 </li>
 <li>
 Strong analytical troubleshooting and RCA skills.
 </li>
 <li>
 Experience working in managed services / SLA-based operations.
 </li>
 <li>
 Good communication and documentation skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 Azure: AZ-104, AZ-305.
 </li>
 <li>
 AWS: AWS Certified Solutions Architect &ndash; Associate / Professional
 </li>
 <li>
 OpenShift / Containers: Red Hat OpenShift Administration, CKA.
 </li>
 <li>
 VMware: VCP-DCV, VCAP-DCV (Optional)
 </li>
 <li>
 ITIL: ITIL 4 Foundation
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.
 </li>
 <li>
 Equivalent practical experience may be considered.
 </li>
 </ul>
</div>

Cloud & Virtualization Engineer

GSSTech Group

<div>We are looking for a highly skilled Data Engineer with strong expertise in PySpark and Informatica Platform Engineering to support enterprise-scale Digital Products and Digital Onboarding initiatives.
The ideal candidate should have strong experience in enterprise data engineering, big data ecosystems, data architecture, and modern data management practices within large and complex environments, preferably in banking or financial services. 
Requirements 
 
Key Responsibilities<ul><li>
Design and develop scalable enterprise data engineering solutions using PySpark and Informatica platforms</li><li>
Build and model Raw Data Vault structures with strong understanding of:</li><li><ul><li>
Source system data structures</li><li>
Data retention policies</li><li>
Data partitioning strategies</li></ul></li><li>
Drive data reusability and reduce data duplication while optimizing performance</li><li>
Define and implement enterprise data architecture standards and best practices</li><li>
Create data exchange standards to support reusable and decoupled architectures</li><li>
Define standards for data archival, retention, and purging</li><li>
Identify and document critical data elements across enterprise source systems</li><li>
Collaborate with data engineers, architects, and source system SMEs to establish data engineering principles and governance standards</li><li>
Support large-scale data transformation and analytics initiatives</li><li>
Contribute to CI/CD-enabled data engineering and deployment environments</li><li>
Ensure compliance with enterprise data quality, governance, and security standards</li></ul>
Required Skills &amp; Experience<ul><li>
Strong hands-on experience in:</li><li><ul><li>
PySpark</li><li>
Informatica Platform Engineering</li><li>
Enterprise Data Engineering</li><li>
Big Data Ecosystems</li></ul></li><li>
Strong expertise in:</li><li><ul><li>
Data Architecture</li><li>
Data Strategy &amp; Roadmaps</li><li>
Enterprise Data Management</li><li>
Data Warehousing &amp; Analytics Solutions</li></ul></li><li>
Strong understanding of:</li><li><ul><li>
Dimensional Modeling</li><li>
Star &amp; Snowflake Schemas</li><li>
Slowly Changing Dimensions (SCD)</li><li>
Role-playing Dimensions</li><li>
Dimensional Hierarchies</li><li>
Data Classification</li></ul></li><li>
Experience transforming traditional Data Warehouse environments into Big Data-based architectures</li><li>
Expertise in:</li><li><ul><li>
Data Quality</li><li>
Data Profiling</li><li>
Data Governance</li><li>
Data Security</li><li>
Metadata Management</li><li>
Data Archival</li></ul></li><li>
Experience with cloud-native principles, architectures, and deployments</li><li>
Strong exposure to Continuous Integration (CI) and Continuous Deployment (CD) environments</li><li>
Strong analytical, troubleshooting, and problem-solving capabilities</li></ul>
Preferred Experience<ul><li>
Banking or financial services domain experience is highly preferred</li><li>
Experience working within enterprise-scale digital transformation programs</li><li>
Exposure to modern analytics and enterprise data platforms</li></ul>
Education
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Information Technology, Engineering, or related field
Preferred Candidate Profile<ul><li>
Ability to work in fast-paced and evolving environments</li><li>
Strong stakeholder collaboration and communication skills</li><li>
Experience handling multiple priorities and enterprise-scale projects</li><li>
Strong ownership mindset and attention to detail</li></ul></div>

Data Engineer - PySpark & Informatica

Talogy Middle East & Africa

<div>
 
 
 About Talogy
 
 
 
 At Talogy, our mission is to help people meet their potential. That is our core purpose, enabling our vision to empower people in their careers and drive organizational success. We achieve this by being the one workforce solutions provider that fuses science, technology and expertise to deliver best-in-class testing, assessment and development products and services.
 
 
 Talogy&rsquo;s culture is as strong as the people who embody our core values. These include our drive to work together as one team, to be dependable in our pursuit of rigor and excellence, to value people and respect everyone&rsquo;s talents, to embrace diversity in perspectives and culture, and to think creatively with the willingness to experiment.
 
 
 Learn more about what we do at: www.talogy.com
 
 
 
 
 
 
 Why This Role is Important to Talogy
 
 
 
 Access to data and information is important to enable timely and informed business decisions to be made or to meet contractual or compliance requirements. Developer as part of data platform engineering team ensure that data is available, secure and comply with Talogy policies all the time across the globe.
 
 
 
 
 
 
 Who We Are Looking For
 
 
 
 This opportunity is ideal for a determined and proactive individual who is willing to develop their skills in a variety of technical disciplines. This role requires an analytical thinker who pays significant attention to detail in their work.
 
 
 The Data Engineer will spend most of their time working in the space of managing databases and database servers ensuring database health, availability, security and backups etc as well as developing and supporting SSIS packages, ADF pipelines, SSRS and Power BI reports/dashboards,
 
 
 We are looking for an experienced Data Engineer who has multi-vendor management databases administration and design experience as well as extensive experience with Azure cloud databases. We have MS SQL servers, Azure SQL databases, Azure Cosmos databases, multiple SSIS packages, ADF/Fabric pipelines, Power BI dashboards, multiple ETL packages with diverse data sources and are looking for someone with experience in most of the above (if not all).
 
 <ul>
 <li>
 Degree in a computer science or related field or equivalent experience.
 </li>
 <li>
 High degree of intellectual curiosity; constantly think about how we can improve our process and produce excellent high-quality solutions for our customers.
 </li>
 </ul>
 
 
 
 
 
 Core Responsibilities
 
 
 
 The Data Engineer is primarily responsible for:
 
 <ul>
 <li>
 Understanding business needs and designing and building solutions that meet those needs. Capable of designing and defending a solution.
 </li>
 <li>
 Managing and maintaining SQL Servers, Azure SQL databases, Azure Cosmos Databases
 </li>
 <li>
 Developing, Managing and maintaining SSIS packages, ADF/Fabric pipelines.
 </li>
 <li>
 BAU support for all SQL and NoSQL servers/databases including patching.
 </li>
 <li>
 Work closely with development, infrastructure, DevOps and client solutions and endeavour to provide best services.
 </li>
 <li>
 Support in building resilient, reliable, secure and cost-effective solutions.
 </li>
 <li>
 Staying ahead of issues with proactive monitoring and alerting.
 </li>
 <li>
 Implementing best practices.
 </li>
 </ul>
 
 
 
 
 
 Role Requirements
 
 
 <ul>
 <li>
 Strong experience as MS SQL, Azure SQL and Cosmos DBs database administrator.
 </li>
 <li>
 End-to-end knowledge from databases architecture to implementation, deployment and administration.
 </li>
 <li>
 3-5 years of experience in developing, implementing and supporting SSIS packages involving scripting tasks.
 </li>
 <li>
 Experience in Azure cloud data technologies including Azure SQL database, Azure SQL managed instance and Azure Cosmos DB.
 </li>
 <li>
 3-5 years of experience in developing, implementing and supporting ADF/Fabric pipelines.
 </li>
 <li>
 3-5 years of experience in developing, implementing and supporting SSRS reports/dashboards.
 </li>
 <li>
 3-5 years of experience in developing, implementing and supporting Power BI dashboards and reports.
 </li>
 <li>
 In depth experience and knowledge of Power BI architecture, components and troubleshooting.
 </li>
 <li>
 Strong experience and knowledge of Python.
 </li>
 <li>
 Experience of using GitHub or similar repositories collaboration and version controls.
 </li>
 <li>
 Maintain technical documentation and source control related to project design and implementation.
 </li>
 <li>
 Monitor performance of database systems resources and query throughput.
 </li>
 <li>
 Optimize Code/scripts as necessary, monitor and maintain databases at database and OS level.
 </li>
 <li>
 Monitor and maintain databases to have up to date backups as per company SLAs.
 </li>
 <li>
 Nice to have knowledge of DevOps repositories, CI/CD pipelines.
 </li>
 <li>
 Expert in writing TSQL queries, functions, stored procedures, views etc.
 </li>
 <li>
 Experience with Azure AI Foundry will be beneficial.
 </li>
 <li>
 Some knowledge of .Net/C# required.
 </li>
 <li>
 Azure/SQL/NoSQL or other database certification desirable.
 </li>
 <li>
 Participation in On-Call rotations or Shift work as required by specific role or assignment.
 </li>
 <li>
 Excellent communication skills, both verbal and written.
 </li>
 <li>
 Comfortable working with staff at all levels.
 </li>
 <li>
 Ability to self-organise, prioritise and track tasks.
 </li>
 <li>
 Can work on their own or as part of a team.
 </li>
 </ul>
</div>

Data Engineer

Ceenex Global LLC

The L3 Systems &amp; Cloud Engineer will be responsible for the administration, monitoring, andmanagement of DHA&rsquo;s physical servers, virtual machines, Azure cloud infrastructure, and containerplatforms. The role ensures high availability, performance, security, and compliance of all managed environments while following ITIL-aligned processes and best practices.Key ResponsibilitiesServer / VM ManagementVMware ManagementAzure ManagementMicrosoft 365 ManagementContainer Platform ManagementGeneral ResponsibilitiesParticipate in change management, incident management, and problem management activities.Maintain procedural documentation and SOPs.Ensure compliance with organizational security policies and industry standards.Collaborate with cross-functional teams and vendors for seamless operations.Mandatory:CCIE certificationRequired Skills &amp; ExperienceMinimum 8 years of experience in enterprise server, cloud, virtualization, and container management.Strong expertise in Windows Server OS administration.Hands-on experience with VMware virtualization technologies (vSphere, vCenter, ESXi).Strong experience in Microsoft 365 administration and security.Hands-on experience with Azure IaaS/PaaS services, networking, and security.Proficient in container orchestration (Kubernetes/AKS/OpenShift).Experience with monitoring, backup, and DR solutions.Familiarity with ITIL processes (Incident, Change, Problem, Access, and Configuration Management).Strong troubleshooting, analytical, and problem-solving skills.Excellent communication and documentation skills.Preferred CertificationsMicrosoftAZ-104: Microsoft Azure AdministratorAZ-305: Microsoft Azure Solutions Architect (Optional)MS-102: Microsoft 365 Administrator ExpertMS-900: Microsoft 365 Fundamentals (Optional)VMwareVCP-DCV (VMware Certified Professional &ndash; Data Center Virtualization)VMware Advanced Certification (Optional) Containers / KubernetesCKA (Certified Kubernetes Administrator)ITIL / Service ManagementITIL 4 FoundationJob Type: Full-timePay: AED16,000.00 - AED20,000.00 per monthWork Location: In person

Senior L3 System Admin

VAM SYSTEMS

<div>Job Description 
VAM Systems is currently looking for AWS Cloud &amp; Infrastructure Architect for our UAE operations with the following terms and conditions: 
 
Role Summary: 
We are looking for a highly capable, hands-on Senior Systems Engineer with deep expertise in AWS cloud architecture and operations, combined with strong foundations in enterprise infrastructure, systems, and automation. 
Must-Have Requirements (Non-Negotiable) 
7&ndash;10+ years in Systems / Infrastructure Engineering 
AWS certifications (Solutions Architect Professional preferred) 
Strong, hands-on AWS experience (this is critical) 
Not theoretical &mdash; must have built and operated real environments 
Deep understanding of: 
Networking fundamentals (L3/L4/L7) 
Security and identity 
Operating systems (Linux + Windows) 
Proven experience in automation 
Experience in hybrid environments 
Strong troubleshooting ability across multiple layers 
Nice to Have (But Very Valuable) 
Experience with Kubernetes 
Exposure to media, OTT, or high-traffic platforms 
 Database experience (strong advantage): 
Hands-on experience with Oracle Database administration 
Familiarity with: 
Oracle RAC, Data Guard, RMAN backups 
Performance tuning and query optimization 
Experience with cloud databases: 
AWS RDS (including Oracle, MySQL, PostgreSQL) 
Aurora (MySQL/PostgreSQL) 
Understanding of: 
High availability and DR for databases 
Backup, recovery, and replication strategies 
Key Responsibilities 
1. AWS Cloud Ownership (Core Requirement) 
Architect, deploy, and manage production-grade AWS environments 
Design secure, scalable, and cost-optimized solutions across: 
EC2, S3, EBS, EFS 
VPC, Transit Gateway, VPN, Direct Connect 
RDS, DynamoDB, Aurora 
IAM, Organizations, Control Tower 
CloudFront, Route 53 
Lambda, API Gateway 
Implement high availability, DR, and backup strategies (multi-AZ, multi-region) 
Lead AWS cost optimization 
Troubleshoot complex AWS issues across compute, network, storage, and security layers 
2. Infrastructure &amp; Systems Engineering 
Manage and optimize Windows &amp; Linux environments 
Design and maintain: 
Active Directory / Entra ID (Azure AD) 
DNS, DHCP, Group Policies 
Virtualization experience (VMware / Nutanix) 
Storage systems (SAN/NAS, backup solutions like Rubrik) 
Build resilient hybrid environments (on-prem + cloud) 
3. Automation &amp; Infrastructure as Code 
Build and maintain infrastructure 
Develop automation scripts using: 
Python / Bash / PowerShell 
Drive zero-touch provisioning and configuration management 
Eliminate manual operational tasks 
4. Security &amp; Compliance 
Implement cloud security best practices: 
IAM least privilege 
Network segmentation 
Encryption at rest and in transit 
Work closely with security teams on: 
Vulnerability remediation 
Compliance (ISO, NIST, etc.) 
Hands-on with tools like: 
AWS Security Hub, GuardDuty, WAF, Shield 
5. Monitoring, Reliability &amp; Performance 
Implement full-stack monitoring 
Define SLAs, SLOs, and alerts 
Lead incident response and root cause analysis (RCA) 
Optimize system performance and uptime 
6. DevOps &amp; Platform Engineering 
Work with Dev teams to enable: 
CI/CD pipelines (GitHub Actions, GitLab, Jenkins) 
Containerization: 
Docker, Kubernetes (EKS preferred) 
Support application deployments and platform stability 
7. Leadership &amp; Ownership 
Act as technical lead for infrastructure decisions 
Mentor junior engineers 
Challenge weak designs and propose better alternatives 
Takes full ownership and not &ldquo;that&rsquo;s not my job&rdquo; mindset 
Joining time frame: (15 - 30 days)</div>

AWS Cloud & Infrastructure Architect

<div>We are looking for a highly skilled Senior Data Engineer with strong expertise in PySpark, Python, and Big Data technologies to design, build, and optimize scalable data platforms and pipelines. The ideal candidate will work closely with Data Scientists, Business Analysts, and Analytics Delivery teams to develop high-performance analytics solutions and support advanced data science initiatives. 
Requirements 
 
Key Responsibilities<ul><li>
Collaborate with Analytics Delivery Leads and Lead Data Engineers to understand business requirements and deliver impactful data solutions.</li><li>
Work closely with Data Scientists and cross-functional teams to solve complex business problems through data engineering solutions.</li><li>
Manage data onboarding, data access, and stakeholder coordination for analytics initiatives.</li><li>
Design, develop, and maintain scalable, secure, and high-performance data pipelines.</li><li>
Acquire, ingest, process, and transform large-scale structured and unstructured datasets.</li><li>
Implement data engineering best practices for building reliable and production-ready data platforms.</li><li>
Perform data wrangling, cleansing, transformation, and feature engineering for machine learning and analytics use cases.</li><li>
Design and develop modular data pipelines to generate reusable features and modeling datasets.</li><li>
Build and optimize data architectures supporting advanced analytics and machine learning workloads.</li><li>
Contribute to data platform design by selecting appropriate technologies across Big Data, SQL, and NoSQL ecosystems.</li><li>
Ensure data quality, integrity, governance, security, and scalability across the data lifecycle.</li><li>
Participate in Agile squads and collaborate effectively with stakeholders across business and technology teams.</li><li>
Contribute to enterprise data architecture strategy and roadmap aligned with business objectives.</li></ul>
Required Technical SkillsCore Data Engineering<ul><li>
Strong experience in Data Engineering and Big Data solutions.</li><li>
Expert-level proficiency in PySpark.</li><li>
Strong programming experience in Python.</li><li>
Experience building large-scale distributed data processing pipelines.</li></ul>
Data Processing &amp; ETL<ul><li>
Data Ingestion</li><li>
Data Transformation</li><li>
Data Wrangling</li><li>
Data Preparation</li><li>
Data Modeling</li><li>
Feature Engineering</li><li>
ETL/ELT Development</li><li>
Batch Processing</li><li>
Data Pipeline Development</li></ul>
Big Data Technologies<ul><li>
Apache Spark / PySpark</li><li>
Distributed Data Processing Frameworks</li><li>
Big Data Ecosystems</li></ul>
Database Technologies<ul><li>
Strong SQL expertise</li><li>
Experience with Relational Databases</li><li>
Experience with NoSQL Databases</li><li>
Data Warehousing Concepts</li></ul>
Cloud &amp; Analytics Platforms (Preferred)<ul><li>
Azure Data Platform</li><li>
AWS Data Services</li><li>
Google Cloud Data Services</li><li>
Databricks</li><li>
Hadoop Ecosystem</li></ul>
Machine Learning Data Support<ul><li>
Feature Engineering for ML Models</li><li>
Data Preparation for Analytics and AI Use Cases</li><li>
Building Modeling and Feature Tables</li><li>
Supporting Data Science Workloads</li></ul>
Engineering Best Practices<ul><li>
Software Engineering Principles</li><li>
Data Pipeline Optimization</li><li>
Data Quality Management</li><li>
Performance Tuning</li><li>
Scalability &amp; Security</li><li>
Version Control (Git)</li><li>
CI/CD Concepts</li><li>
Documentation Standards</li></ul>
Required Soft Skills<ul><li>
Strong stakeholder management and communication skills.</li><li>
Experience working with Business Analysts, Data Scientists, and Product Teams.</li><li>
Ability to translate business requirements into scalable data solutions.</li><li>
Strong analytical and problem-solving skills.</li><li>
Experience working in Agile/Scrum environments.</li><li>
Ability to work independently and within cross-functional teams.</li></ul>
Preferred Qualifications<ul><li>
Experience working in enterprise-scale data platforms.</li><li>
Experience supporting machine learning and advanced analytics initiatives.</li><li>
Exposure to cloud-native data engineering solutions.</li><li>
Experience designing modern data architectures and data lake environments.</li></ul></div>

Senior Data Engineer

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