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senior electrical engineer Jobs in Abu Dhabi

senior electrical engineer

senior reliability engineer

D4 Insight

<div><p><b>Location:</b> Abu Dhabi<br>
<b>Experience:</b> 5&ndash;8 Years</p>
<h3 class="jobSectionHeader"><b>
Role Overview:</b></h3>
<p>
We are looking for skilled Site Reliability Engineer with experience in Wealth Management and Brokerage platforms to ensure system reliability, scalability, and operational excellence.</p>
<p>
The role combines software engineering, cloud infrastructure, application support, and FinTech platform operations.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3>
<ul><li>Support wealth and brokerage applications.</li>
<li>Manage cloud infrastructure on AWS and Azure.</li>
<li>Build and maintain CI/CD pipelines.</li>
<li>Support APIs, microservices, and distributed systems.</li>
<li>Manage databases and application integrations.</li>
<li>Drive incident and problem management activities.</li>
<li>Monitor emerging FinTech technologies and innovations.</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills:</b></h3>
<ul><li>Wealth &amp; Brokerage Platforms</li>
<li>AWS &amp; Azure</li>
<li>Java &amp; .NET Core</li>
<li>Docker &amp; Kubernetes</li>
<li>CI/CD &amp; DevOps</li>
<li>APIs &amp; Microservices</li>
<li>Incident Management</li>
</ul>
<p> <b>Apply Now: </b><b>[email protected]</b></p></div>

Site Reliability Engineer SRE Wealth And Brokerage

Avrioc Technologies

<div>
 <p>
  ⚙️
  <strong>
   HIRING:
  </strong>
  🚀 We&rsquo;re Hiring | Senior SRE / DevOps Lead | Avrioc | UAE 🇦🇪
 </p>
 <p>
  We&rsquo;re looking for a seasoned DevOps &amp; Site Reliability Engineering (SRE) Lead to design, scale, and elevate our cloud infrastructure and observability ecosystem.
 </p>
 <p>
  If you&rsquo;re passionate about automation, system resilience, and building highly reliable platforms &mdash; this role is for you.
 </p>
 <p>
  🔧 Key Responsibilities:
 </p>
 <p>
  &bull; Architect and deploy scalable, highly available cloud infrastructure
 </p>
 <p>
  &bull; Lead SRE best practices to ensure reliability, performance, and scalability
 </p>
 <p>
  &bull; Optimize CI/CD pipelines (Jenkins, Argo CD or similar) for seamless deployments
 </p>
 <p>
  &bull; Define and track SLOs &amp; SLIs to maintain uptime and service health
 </p>
 <p>
  &bull; Build robust observability frameworks (Elastic Stack, Prometheus, Grafana, Dynatrace, New Relic)
 </p>
 <p>
  &bull; Manage Kubernetes clusters and Helm charts for efficient orchestration
 </p>
 <p>
  &bull; Implement auto-healing systems and proactive monitoring
 </p>
 <p>
  &bull; Drive chaos engineering and resilience testing (Chaos Mesh, Litmus, AWS FIS)
 </p>
 <p>
  &bull; Collaborate with engineering and product teams to embed reliability into development
 </p>
 <p>
  &bull; Maintain clear infrastructure and incident documentation
 </p>
 <p>
  🧩 What We&rsquo;re Looking For:
 </p>
 <p>
  &bull; 8+ years of experience in DevOps/SRE, including leadership in enterprise environments
 </p>
 <p>
  &bull; Hands-on experience with AWS, GCP, or Azure
 </p>
 <p>
  &bull; Strong expertise in Infrastructure as Code (Terraform, CloudFormation, Ansible)
 </p>
 <p>
  &bull; Proven experience in CI/CD, monitoring, and incident response
 </p>
 <p>
  &bull; Deep knowledge of observability tools and practices
 </p>
 <p>
  &bull; Strong Kubernetes and Helm experience at scale
 </p>
 <p>
  &bull; Experience with databases like MySQL, Cassandra, etc.
 </p>
 <p>
  &bull; Proficiency in Python, Bash, or Go
 </p>
 <p>
  &bull; Experience in BCP/DR planning and capacity management
 </p>
 <p>
  &bull; Strong communication, troubleshooting, and documentation skills
 </p>
 <p>
  🛡️ Information Security:
 </p>
 <p>
  &bull; Adhere to information security and service management policies
 </p>
 <p>
  &bull; Ensure confidentiality and integrity of data
 </p>
 <p>
  &bull; Participate in security trainings and report incidents as required
 </p>
 <p>
 </p>
</div>


Lead Site Reliability Engineer

Emirates Nuclear Energy

<div></div><div><div><div><div><div>Posting Date: 10 Jun 2026
</div></div></div></div><div><div><div><div>Requisition ID: 3791
</div></div></div></div><div><div><div><div>Location: Barakah
</div></div></div></div><div><div><div><div>Posting Status: Active Recruitment
</div></div></div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Purpose</b></h2>
</div><div><br>
Provide deep and broad industry experience to lead development and execution of Engineering Equipment Reliability (ER) processes and sub processes in accordance with industry best practices and Final Safety Analysis Report (FSAR) requirements to ensure that the Nawah is aligned with INPO AP-913 Equipment Reliability Process; provide support to the oversight, governance, and support of Nawah ER Processes; and lead execution of Nawah monitoring and diagnostic (M&amp;D) center activities. Lead the development and implementation of the Maintenance Rule Program, Single Point of Vulnerability (SPV) program, PM support to the maintenance function, management of Master Equipment Data, and engineering performance indicators at Barakah Nuclear Power Plant (BNPP).
<br>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Activities, Responsibility &amp; Accountability</b></h2>
</div><div>Activity:
<br>
Equipment Reliability
<br>
Responsibilities and Accountabilities:
<br>
<ul><li>Lead development, implementation, and execution of Engineering Equipment Reliability (ER) process, consistent with INPO AP-913 Equipment Reliability Process, FSAR requirements and Federal Authority for Nuclear Regulation (FANR) expectations, to maintain high levels of safe and reliable plant operation in an efficient manner.Incorporate lessons learned from reference plant i.e.Shin Kori 3 and 4 and industry best practices.
</li><li>Provide deep technical knowledge and highly-experienced support for the development of programs such as Functional Importance Determination (FID), Functional Equipment Group (FEG), Preventive Maintenance (PM) Templates, PM Basis, Single Point Vulnerability (SPV), System Health Monitoring, System Health Evaluation, Plant Health Committee (PHC), Plant Top Ten ER related issues, and Equipment Reliability Index (ERI).
</li><li>Lead identification and management of the engineering fields of master data, programs and procedures required to implement ER process.
</li><li>Provide advanced technical knowledge and collaboration with other ER departments, i.e., Operations, Maintenance and Work Management to ensure a well aligned approach to ER.
</li><li>Lead identification of software tools required to implement ER process and ensure the database required to support software applications are adequately populated to enable ER analysis and performance tracking.
</li><li>Lead development and execution of the ER Index (ERI) to measure the health of key plant programs and processes that must perform effectively to ensure safe and reliable operation.
</li><li>Lead development and implementation of Nawah's M&amp;D center to ensure it provides a useful leading practice capability for centralized data gathering and analysis.
</li><li>Lead development and implementation of Nawah's Master Equipment Data (creation/modification/deletion of master data) to ensure database is accurate.
</li></ul><br>
Preventative Maintenance Support
<br>
Responsibilities and Accountabilities:
<br>
<ul><li>Lead the development, implementation and execution of the Maintenance Rule program to ensure it adheres to the applicable standards and guidelines and provides the desired benefits.Maintenance Rule program elements include:
</li></ul>&Acirc; Maintenance rule scoping.
<br>
&Acirc; Maintenance Rule Safety Significance Determination.
<br>
&Acirc; Maintenance Rule Establishment of Performance Criteria.
<br>
&Acirc; Maintenance Rule Performance Monitoring.
<br>
&Acirc; Periodic Assessment.
<br>
&Acirc; Maintenance Rule Expert Panel Meetings.
<br>
<ul><li>Lead support to the Maintenance function in developing the PM program such as:
</li></ul>&Acirc; Functional Importance Determination (FID).
<br>
&Acirc; Single Point Vulnerabilities (SPV).
<br>
&Acirc; SPV-Reliability Improvement Plans.
<br>
&Acirc; Functional Equipment Group (FEG).
<br>
&Acirc; Preventive Maintenance (PM) Templates.
<br>
&Acirc; PM Basis.
<br>
<ul><li>Lead the development, implementation and management of the SPV program including development of elimination, mitigation, and bridging strategies, to identify, monitor, and protect against risks associated with SPVs.
</li><li>Lead the development and management of engineering performance indicators as an input to station performance indicators.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities &amp; Accountabilities (contd.)</b></h2>
</div><ul><li>Validate updates to the equipment master database (creation/modification/deletion of equipment master information) to ensure database is accurate and relevant, including:
</li></ul>&Acirc; Review of documents prepared by the maintenance team or the system engineering team.
<br>
&Acirc; File equipment master in Operating Management System (OMS).
<br>
&Acirc; Monitor notification to the maintenance team of the results of equipment master changes.
<br>
&Acirc; Conduct periodic adequacy checks of station equipment master and issue of notification to improve operation for inadequate items.
<br>
&Acirc; Validate reflection of SPV equipment.
<br>
&Acirc; Review of station equipment master and changes in function location at periodic interval.
<br>
<br>
Staff Training and Qualification
<br>
Responsibilities and Accountabilities:
<br>
<ul><li>Participate in training to equip necessary technical knowledge and skills
</li><li>Provide training feedback on program effectiveness with evaluation of operator performance to enhance staff training and qualification program.
</li></ul><br>
Outage and Emergency Response Organization (ERO) Support
<br>
Responsibilities and Accountabilities:
<br>
<ul><li>Support outage and/or the ERO, as assigned, to ensure safe, reliable and continued operations; this may require shift work/off hours support.
</li></ul><br>
The incumbent is expected to perform standard activities as per attachments 4 &amp; 5 in the Job Description procedure (relating to Health, Safety and Environment, Security and Business Continuity, People Management, Excellence and Quality Management
</div><div><div><h2 class="jobSectionHeader"><b>Professional Certifications</b></h2>
</div><div>Minimum
<br>
N/A
<br>
<br>
Preferred
<br>
N/A
</div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div>Minimum
<br>
<ul><li>Bachelors Degree or Diploma (or Equivalent) Degree in Engineering or related Science.
</li><li>8 years of relevant experience, out of which:
</li><li>1 year of Nuclear Power Plant engineering experience.
</li></ul><br>
Preferred
<br>
<ul><li>Bachelor's Degree in Mechanical, Electrical, or Electronic Engineering.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2></div></div></div></div></div></div></div></div><p></p>

Principal Equipment Reliability Engineer

AppliedAI

<div>
 <p>
  <strong>
   AI Engineer
  </strong>
 </p>
 <p>
  On-site | Abu Dhabi
 </p>
 <p>
  <br/>
 </p>
 <p>
  AppliedAI is a pioneering AI technology company headquartered in Abu Dhabi, committed to innovation and excellence in artificial intelligence solutions in regulated industries such as healthcare, insurance, government, and financial services.
  <strong>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Opus is the world's first
  <strong>
   Knowledge Work AI platform
  </strong>
  . Built by AppliedAI to pioneer
  <strong>
   Supervised Automation
  </strong>
  , a human-in-the-loop model where AI handles repetitive, structured tasks while human experts provide crucial oversight at defined intervals.
  <strong>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The platform uses its proprietary
  <strong>
   Large Work Model
  </strong>
  to generate and orchestrate outcome-based workflows, enabling a dramatic reduction in the cost of knowledge work and allowing human talent to focus on high-value, creative, and judgement-intensive activities.
  <strong>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview:
  </strong>
  <strong>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an Opus AI Engineer, you will contribute to the development, optimization, and reliability of Opus&rsquo;s AI infrastructure. You&rsquo;ll work in a cross-functional UAE-based team to build, maintain, and improve the systems that power Opus&rsquo;s AI features, from inference pipelines and workflow orchestration to prompt alignment and agentic integrations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Your focus will be on implementing clean, efficient, and observable systems that ensure Opus&rsquo;s AI features deliver consistent, high-quality performance for users.
 </p>
 <p>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Develop and maintain AI inference and orchestration pipelines used in production.
  </li>
  <li>
   Optimize model-serving performance, latency, and reliability across live systems.
  </li>
  <li>
   Implement observability, logging, and monitoring for AI components.
  </li>
  <li>
   Contribute to prompt and alignment improvements to enhance response quality and consistency.
  </li>
  <li>
   Refactor existing code for modularity, clarity, and maintainability.
  </li>
  <li>
   Collaborate with senior engineers and product teams to deliver stable, user-facing AI features.
  </li>
  <li>
   Participate in design reviews, testing, and rollout of new systems and improvements.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   2 - 4 years of experience in ML or backend engineering.
  </li>
  <li>
   1+ years working on LLM prompt design, model behavior shaping, or symbolic product-logic integration into language systems.
  </li>
  <li>
   Strong Python programming skills and understanding of production ML systems.
  </li>
  <li>
   Familiar with orchestration tools (Airflow, Celery, Kubernetes) and cloud environments (AWS, GCP, Azure).
  </li>
  <li>
   Experience deploying and monitoring inference pipelines (e.g. LLMs, CV models, or similar APIs).
  </li>
  <li>
   Knowledge of observability tools and performance debugging.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why join AppliedAI:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Opportunity to work with a highly innovative AI technology company.
  </li>
  <li>
   Collaborative and innovative work environment.
  </li>
  <li>
   Growing, entrepreneurial and forward-thinking culture.
  </li>
  <li>
   Career growth and professional development opportunities.
  </li>
  <li>
   Exposure to a thriving ecosystem working from our Abu Dhabi HQ.
  </li>
 </ul>
</div>


AI Engineer

Quest Global

<div><b>Job Requirements<br>
</b><br>
<p>At Quest Global, it&rsquo;s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place&mdash;to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.</p><p><b>
Key Responsibilities</b></p><p><b>
Solution Deployment &amp; Model Enablement</b></p><ul><li>
Support end-to-end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities in the Middle East region.</li><li>
Provide reliability engineering subject matter expertise during asset onboarding, solution configuration, and model development phases.</li><li>
Work closely with analytics, data science, product, and delivery teams to ensure predictive models accurately reflect:</li></ul><p>
o Asset criticality</p><p>
o Failure modes</p><p>
o Reliability risk profiles</p><p>
o Maintenance strategies</p><p>
o Operational and maintenance workflows</p><ul><li>
Support asset criticality assessments, use case definition, and prioritization of high-value reliability monitoring opportunities across:</li></ul><p>
o Rotating equipment</p><p>
o Static equipment</p><p>
o Electrical systems</p><p>
o Process systems</p><p>
o Integrity-critical assets</p><ul><li>
Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.</li><li>
Validate predictive model outputs against historical reliability trends, maintenance history, failure records, and operational performance data.</li><li>
Support development of reliability governance frameworks, KPI structures, and value realization methodologies for deployed solutions.</li><li>
Provide engineering input to support expansion of predictive monitoring and reliability optimization coverage across additional assets, systems, and facilities.</li></ul><p><b>
Predictive Monitoring, Sustainment &amp; Value Realization</b></p><ul><li>
Lead the reliability governance and value realization framework for deployed predictive analytics and asset performance solutions.</li><li>
Own and maintain programme benefits realization tracking across all engineering disciplines and customer facilities.</li><li>
Consolidate and report realized operational value including:</li></ul><p>
o Downtime avoided</p><p>
o Maintenance cost savings</p><p>
o Production uplift</p><p>
o Energy efficiency improvements</p><p>
o Reduced equipment failures</p><p>
o Improved equipment availability</p><ul><li>
Lead bad actor analysis informed by predictive model outputs and coordinate cross-functional investigations to address recurring failure patterns.</li><li>
Apply reliability engineering methodologies including:</li></ul><p>
o Reliability Availability Maintainability (RAM) analysis</p><p>
o Failure Modes and Effects Analysis (FMEA)</p><p>
o Root Cause Analysis (RCA)</p><p>
o Weibull analysis</p><p>
o Reliability-centered maintenance (RCM) principles</p><ul><li>
Validate predictive model performance and support continuous improvement of maintenance and reliability strategies.</li><li>
Develop and maintain performance dashboards and governance metrics tracking:</li></ul><p>
o Alert accuracy</p><p>
o False positive rates</p><p>
o Missed detections</p><p>
o Advisory adoption rates</p><p>
o Operational response effectiveness</p><p>
o Reliability KPI improvements</p><ul><li>
Drive continuous improvement in operational adoption and usage of predictive analytics outputs by identifying workflow gaps and recommending process enhancements.</li><li>
Work closely with customer maintenance, operations, inspection, engineering, and reliability teams to integrate predictive insights into day-to-day reliability and maintenance workflows.</li><li>
Ensure predictive models remain aligned with actual operational conditions, maintenance practices, and asset performance throughout the sustainment lifecycle.</li><li>
Act as the primary technical focal point during sustainment and managed service phases for assigned reliability and asset performance portfolios.</li><li>
Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness across multiple engineering disciplines.</li><li>
Participate in governance meetings, technical reviews, workshops, SteerCo discussions, and value realization sessions with customer stakeholders, asset owners, PMO teams, and senior leadership.</li><li>
Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance, operational adoption, and customer outcomes.</li><li>
Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics and asset performance solutions.</li><li>
Conduct periodic visits to customer plants, operational facilities, and industrial sites to support deployment activities, reliability reviews, bad actor investigations, technical assessments, governance discussions, and stakeholder engagement.</li></ul><p></p><p><br>
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.</p><p>
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.</p><b><br>
Work Experience<br>
</b><br>
<p><b>Required Qualifications</b></p><ul><li>
Bachelor&rsquo;s degree in Mechanical, Electrical, Chemical, Industrial, or related engineering discipline.</li><li>
Minimum 12 years of reliability engineering experience within oil &amp; gas, petrochemical, refining, gas processing, power generation, or heavy industrial environments.</li><li>
Strong experience applying:</li></ul><p>
o RAM analysis</p><p>
o FMEA</p><p>
o RCA</p><p>
o Weibull analysis</p><p>
o Reliability-centered maintenance methodologies</p><ul><li>
Cross-discipline asset management experience spanning:</li></ul><p>
o Mechanical systems</p><p>
o Electrical systems</p><p>
o Process systems</p><p>
o Integrity-critical assets</p><ul><li>
Experience owning programme KPI governance, reliability reporting, and value realization tracking for operational facilities.</li><li>
Experience working with predictive maintenance, condition monitoring, or AI-driven asset performance platforms.</li><li>
Strong understanding of maintenance and reliability workflows within industrial operating environments.</li><li>
Experience interpreting operational and maintenance data from SCADA, PI Historian / OSIsoft, CMMS, or equivalent industrial systems.</li><li>
Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred.</li><li>
Middle East or GCC operating environment experience preferred.</li></ul><p><b>
Preferred Certifications</b></p><ul><li>
Certified Reliability Engineer (CRE) preferred</li><li>
CMRP (Certified Maintenance &amp; Reliability Professional) advantageous</li><li>
Reliability-centered maintenance or asset management certifications preferred</li></ul><p><b>
Preferred Industry Experience</b></p><ul><li>Oil &amp; Gas operators in the Middle East region</li><li>Upstream production facilities</li><li>Offshore operations</li><li>Gas processing plants</li><li>Refineries and petrochemical facilities</li><li>LNG and industrial energy operations</li></ul><p><b>
Key Skills &amp; Competencies</b></p><ul><li>Reliability engineering and asset performance management</li><li>RAM, FMEA, RCA, and Weibull analysis</li><li>Predictive maintenance and bad actor management</li><li>Reliability KPI governance and value realization tracking</li><li>Operational workflow optimization</li><li>Cross-functional technical leadership</li><li>Operational data interpretation and analytics validation</li><li>Technical governance and stakeholder engagement</li><li>
Cross-disciplinary collaboration and advisory capability</li></ul></div><p></p>

SME – Reliability

Fecundity Technologies

<p><b>Role Overview</b>: We are looking for a Senior Platform Engineer to design, build, and scale Azure cloud and hybrid-cloud ecosystems from the ground up for a large Financial Enterprise. You will be responsible for creating a robust foundation for our application teams, with a specific focus on operationalizing AI services, maintaining rigorous security standards, and optimizing cloud spend through FinOps best practices.</p><p><b>Key Responsibilities:</b></p><ul><li><b>Greenfield Infrastructure</b>: Architect and deploy production-ready Azure environments from scratch using a landing zone approach.</li><li><b>AI Orchestration</b>: Integrate and manage Azure AI services (OpenAI, AI Search, Document Intelligence, Content Safety) to support AI-driven application development.</li><li><b>Infrastructure as Code</b>: Standardize all deployments using Terraform to ensure consistency and modularity.</li><li><b>API &amp; Connectivity</b>: Manage API lifecycles using Azure APIM and Kong, ensuring secure and performant communication between services.</li><li><b>FinOps &amp; Monitoring</b>: Proactively manage cloud costs by analyzing SKUs and implementing advanced monitoring/alerting to prevent budget overruns.</li><li><b>Automation</b>: Design automated GitHub Workflows to enable seamless CI/CD for both infrastructure and application code.</li></ul><p><b>Technical Requirements:</b></p><ul><li><b>Cloud</b>: 8+ years experience with Azure Cloud Platform.</li><li><b>IaC</b>: Expert-level Terraform skills.</li><li><b>AI Stack</b>: Familiarity with Azure AI Foundry and OpenAI Service.</li><li><b>Networking</b>: Expert knowledge of Network Architecture (VNETs, Peering, Firewalls, Private Links).</li><li><b>APIs</b>: Hands-on experience with Azure APIM or Kong.</li></ul><p><b>Deployment Architecture</b>: Proven ability to create professional Cloud Architecture Diagrams and provide Solutions Architecture guidance.</p><p>Pay: AED26,000.00 - AED31,000.00 per month</p><p>Application Question(s):</p><ul><li>Which tools or approaches have you used for monitoring and alerting (Azure Monitor, Log Analytics, etc.)?</li><li>Have you worked in environments with strict cost governance or quotas?</li><li>Have you created cloud architecture diagrams and presented solutions to stakeholders?</li><li>Describe a complex cloud architecture you designed (include security, scalability, and reliability considerations).</li></ul><p>Work Location: In person</p>

Lead AI Cloud Platform Engineer (Banking Industry)

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