Software Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Cloud Engineering Manager

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Senior Team Lead

Senior Manager - Project Delivery

Consulting Engineer - Routing, Switching, SDWAN

Senior Manager- Electrical

Responsibilities: As a member of our Software &amp; Platform Engineering team, you will:&nbsp; <ul><li>Develop traditional and serverless applications and services in an agile and collaborative environment using source control that integrate with data storage services/message buses and other architectural elements&nbsp;</li><li>Deploy these applications using features such as containers to the cloud, leveraging CI/CD to support this process, backed with good observability when running these in production&nbsp;</li><li>Ensure quality through the creation of documentation and use of unit/integration/contract testing with a consideration of security/performance requirements.&nbsp;</li></ul> Requirements: As a Software Engineer, you will:&nbsp; <ul><li>Design, develop, and implement cutting-edge digital applications to address unique business challenges across various industries.&nbsp;</li><li>Collaborate with cross-functional teams to create innovative and effective solutions.&nbsp;</li><li>Develop both traditional and serverless applications in an agile and collaborative environment, integrating with data storage services, message buses, and other architectural elements.&nbsp;</li><li>Use modern deployment methods, such as containers and cloud services, supported by CI/CD pipelines and strong production observability.&nbsp;</li><li>Ensure high-quality outcomes through robust documentation and comprehensive testing (unit, integration, and contract testing), considering security, accessibility, and performance requirements.&nbsp;</li></ul> We are looking for experience in the following skills:&nbsp; <ul><li>Industry experience in one of following: Java / Typescript / C# / Python / Go.&nbsp;</li><li>Experience with Cloud Native technologies on AWS.&nbsp;</li><li>Experience in building automation tools to support CI/CD pipelines. Set yourself apart:&nbsp;</li><li>A creative and analytical approach to problem-solving.&nbsp;</li><li>Strong debugging and troubleshooting skills to resolve complex technical issues.&nbsp;</li><li>Excellent communication and collaboration skills to work effectively in diverse teams.&nbsp;</li><li>Proven experience shaping and delivering work across small to medium-sized projects&nbsp;</li><li>Experience in Financial Services.&nbsp;</li></ul>

Responsibilities: Deploy and Land: <ul><li>Own end-to-end delivery of AI and analytics products at stations in your region.</li><li>Cover discovery, scoping, development, integration, user acceptance testing (UAT), hypercare and rollout.</li><li>Embed with operations.</li><li>Participate in business stand-ups.</li><li>Visit the ramp and cargo floor.</li><li>Understand local data realities rather than making assumptions.</li><li>Ship production code in Python and comparable stacks against live flight, cargo, workforce and equipment data.</li><li>Avoid handing over prototypes for someone else to productionise.</li><li>Scale deployment by reducing the cost and time required to deploy solutions across additional stations.</li><li>Achieve this through reusable integrations, configuration and runbooks.</li></ul> Build on the Platform, Not Around It: <ul><li>Consume data through the semantic layer and governed data platform.</li><li>Avoid parallel pipelines, local definitions and workarounds.</li><li>Apply Centre of Excellence (CoE) patterns and guardrails.</li><li>Follow reference architectures, AI registry, human-in-the-loop controls, access and residency rules.</li><li>Integrate GenAI and ML into workflows.</li><li>Implement RAG and retrieval patterns.</li><li>Implement agentic and tool-use patterns.</li><li>Apply evaluation frameworks.</li><li>Establish observability.</li><li>Maintain production cost control.</li></ul> Make Insight Self-Service: <ul><li>Build data products, not report queues.</li><li>Design governed, reusable datasets and semantic models.</li><li>Enable operations teams, airlines and forwarders to answer their own questions.</li><li>Put insight in front of the customer.</li><li>Deliver station and customer-facing analytics.</li><li>Enable natural-language access to operational data.</li><li>Ensure appropriate access, residency and confidentiality controls.</li><li>Design for the user, not the requester.</li><li>Ensure every product identifies the decision it changes and the person responsible for making it.</li><li>Instrument usage.</li><li>Retire products that are not used.</li><li>Consolidate fragmented reporting rather than extending it.</li></ul> Close the Loop: <ul><li>Feed field learnings back.</li><li>Convert integration problems into hardened patterns for the CoE and requirements for the platform team.</li><li>Own adoption and benefits.</li><li>Instrument deployments.</li><li>Track usage and benefits against the business case.</li><li>Report results accurately.</li><li>Be the technical face to the business and customers.</li><li>Translate between operations, the CoE and platform engineering.</li><li>Success in the First 12 Months</li></ul> Requirements: Experience: <ul><li>6+ years of experience in software or ML engineering.</li><li>Experience must include customer-facing or business-embedded delivery.</li><li>Demonstrated track record of scoping and delivering complex systems end to end in ambiguous, fast-moving environments.</li><li>Ability to remain accountable after go-live.</li><li>Production experience with LLM or ML systems.</li><li>Experience with prompt and agent design.</li><li>Experience with RAG.</li><li>Experience with evaluation frameworks.</li><li>Experience with deployment at scale.</li><li>Understanding of how model behaviour influences product experience.</li><li>Strong Python and API development skills.</li><li>Experience with FastAPI or equivalent.</li><li>Comfortable working across backend and frontend development.</li><li>Ability to build a working system independently.</li><li>Practical experience with Docker.</li><li>Practical experience with Kubernetes.</li><li>Practical experience with CI/CD.</li><li>Practical experience with cloud data platforms.</li><li>Experience integrating batch and real-time data against complex enterprise data sources.</li><li>Strong understanding of analytics.</li><li>Experience with semantic and dimensional modelling.</li><li>Knowledge of modern BI.</li><li>Experience designing data products that non-technical and external users can operate independently.</li><li>Aviation, logistics or complex operations experience is advantageous but not mandatory.</li><li>Willingness to learn operations directly from the operational floor is essential.</li></ul> Qualifications: <ul><li>Bachelors, MSc or PhD in Computer Science, Engineering, Mathematics or a related field.</li></ul>

Responsibilities: <ul><li>Own end-to-end delivery of AI and analytics products at stations in your region: discovery, scoping, build, integration, UAT, hypercare and rollout.</li><li>Embed with the operation. Sit in business stand-ups, walk the ramp and the cargo floor, and specify the local data reality rather than assuming it.</li><li>Ship production code in Python and comparable stacks against live flight, cargo, workforce and equipment data, not prototypes handed to someone else to productionise.</li><li>Scale deployment. Reduce cost and time-to-deploy from station N to station N+1 through reusable integrations, configuration and runbooks.</li><li>Consume through the semantic layer and the governed data platform. No parallel pipelines, no local definitions, no workarounds.</li><li>Apply CoE patterns and guardrails: reference architectures, AI registry, human-in-the-loop controls, access and residency rules.</li><li>Integrate GenAI and ML into workflows: RAG and retrieval, agentic and tool-use patterns, evaluation frameworks, observability and cost control in production.</li><li>Build data products, not report queues. Design- governed, reusable datasets and semantic models that let operations, airlines and forwarders answer their own questions.</li><li>Put insight in front of the customer. Deliver station and customer-facing analytics, including natural-language access to operational data, with the access, residency and confidentiality controls customer data demands.</li><li>Design for the user, not the requester. Every product names the decision it changes and who makes it. Instrument usage, retire what nobody opens, consolidate the long tail rather than extend it.&nbsp;</li><li>Feed the field back. Every integration problem you solve becomes a hardened pattern for the CoE and a requirement for the platform team.</li><li>Own adoption and benefits. Instrument what you deploy, track usage and benefit against the business case, and report it honestly.</li><li>Be the technical face to the business and to customers, translating between operations, the CoE and platform engineering.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>6+ years in software or ML engineering, including customer-facing or business-embedded delivery.</li><li>Track record of scoping and shipping complex systems end to end in ambiguous, fast-moving environments, and staying accountable after go-live.</li><li>Production experience with LLM or ML systems: prompt and agent design, RAG, evaluation frameworks, deployment at scale, and an understanding of how model behaviour shapes product experience.</li><li>Strong Python and API development (FastAPI or equivalent); comfortable across backend and front-end enough to build a working system alone.</li><li>Practical depth in Docker, Kubernetes, CI/CD, and cloud data platforms; batch and real-time integration against messy enterprise sources.</li><li>Fluency in the analytics half of the job: semantic and dimensional modelling, modern BI, and designing data products that non-technical and external users can operate without help.</li><li>Aviation, logistics or complex operations exposure is an advantage, not a prerequisite. Willingness to learn the operation from the floor is not optional.</li><li>Bachelors, MSc or PhD in Computer Science, Engineering, Mathematics or related field.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead the engineering, operation, and continuous improvement of enterprise cloud platforms across Microsoft Azure (primary), AWS, and GCP, including landing zones, networking, platform services, and secure cloud foundations.</li><li>Build and maintain standardized delivery pathways, CI/CD pipelines, infrastructure-as-code (IaC) modules, GitOps practices, and environment automation to enable consistent, scalable, and compliant deployments.</li><li>Drive an automation-first engineering model, reducing manual intervention through policy-as-code, automated workflows, AI-assisted engineering, and agent-based execution of routine operational activities.</li><li>Develop and mature AIOps capabilities, including anomaly detection, intelligent alert correlation, automated remediation, and measurable reduction of operational toil.</li><li>Design and operate infrastructure supporting enterprise AI workloads, including GPU/accelerated compute, managed AI services, model serving and inference endpoints, vector and retrieval services, and secure AI landing zones.</li><li>Partner with Data &amp; AI teams to provide scalable, secure infrastructure for AI solutions while managing capacity, quotas, workload isolation, and AI infrastructure consumption and cost reporting.</li><li>Lead cloud reliability, observability, and resilience, establishing service level objectives (SLOs), error budgets, metrics, logging, tracing, recovery playbooks, and validated RTO/RPO requirements.</li><li>Implement cloud security, identity, and compliance guardrails through secure baselines, policy-as-code, workload identities, privileged access controls, and Microsoft Entra ID integration.&nbsp;</li><li>Maintain platform compliance with applicable data protection and industry standards, including GDPR, CCPA, PCI-DSS, and SOC 2, in partnership with Global Cybersecurity and other governance teams.</li><li>Execute FinOps and cloud optimization initiatives, including tagging and cost allocation, rightsizing, scheduling, storage optimization, reservations, savings plans, committed spend, forecasting, and consumption reporting.</li><li>Support the organizations cloud-first transformation, including modernization and consolidation of VMware workloads and rationalization of AWS and GCP environments around strategic business requirements.</li><li>Lead and develop a globally distributed cloud engineering team, establishing engineering standards, structured code and design reviews, operational discipline, continuous learning, and accountability for cloud providers and engineering partners.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent professional experience.</li><li>10+ years of progressive cloud and infrastructure engineering experience, including at least 3 years leading engineering teams with accountability for production platform services.</li><li>Expert-level, hands-on experience with Microsoft Azure, with demonstrated experience building and operating environments across AWS and GCP.</li><li>Deep experience with platform engineering and infrastructure-as-code, including Terraform, Bicep, GitOps, CI/CD pipelines, landing zones, and automated provisioning.</li><li>Demonstrated experience implementing cloud automation and AI-enabled operations, including AIOps, AI-assisted engineering, or agent-based automation.</li><li>Hands-on experience supporting AI/ML infrastructure, including GPU/accelerated compute, managed AI services, model serving, or AI workload platforms.</li><li>Strong production experience with Kubernetes (AKS, EKS, or GKE), cloud security, identity, observability, and reliability practices.</li><li>Experience leading distributed engineering teams and supporting highly available, business-critical technology environments.</li></ul> Preferred Skills <ul><li>Professional certifications such as Azure Solutions Architect Expert, AWS Certified Solutions Architect – Professional, Google Professional Cloud Architect, CKA, Terraform Associate, or FinOps Certified Practitioner.</li><li>Experience with Microsoft Entra ID, workload identity, privileged access, Conditional Access, zero-trust principles, and policy-as-code.</li><li>Experience with observability and SRE practices, including Grafana, Prometheus, Azure Monitor, CloudWatch, SLOs, and error budgets.</li><li>Working knowledge of FinOps, cloud cost optimization, tagging strategies, reservations, savings plans, and consumption reporting.</li><li>Experience migrating and modernizing VMware and on-premises workloads into cloud environments.</li><li>Experience leading global teams across the Americas, EMEA, and APAC.</li><li>Experience within aviation, transportation, logistics, field operations, or other 24/7/365 operational environments.</li></ul>

﻿Responsibilities: Data Collection &amp; Integration: Collect and consolidate data from multiple sources, including: <ul><li>CMDB platforms (e.g., Remedy)</li><li>IT Asset Management (ITAM) systems</li><li>Vendor lifecycle and support data</li><li>Security, vulnerability, and patching sources</li><li>Ensure data consistency and alignment across asset, configuration, and lifecycle repositories</li><li>Validate data accuracy, completeness, and currency</li></ul> Technology Obsolescence Analysis: <ul><li>Identify EOL, EOS, and obsolete technologies across hardware, software, OS, databases, middleware, and cloud services</li><li>Analyze lifecycle risks by technology type, vendor, business unit, and criticality</li><li>Support prioritization of remediation based on risk, business impact, and exposure</li></ul> Reporting &amp; Dashboarding: <ul><li>Design, develop, and maintain interactive dashboards and reports using:</li><li>Power BI / Tableau</li></ul> Create Standard Views Covering: <ul><li>Obsolescence risk heatmaps</li><li>Aging and lifecycle timelines</li><li>Remediation progress and trends</li><li>Compliance and audit‑ready metrics</li><li>Enable self‑service analytics for stakeholders where appropriate</li></ul> CMDB &amp; Asset Management Support: <ul><li>Support the alignment of CMDB data with actual deployed assets</li><li>Identify gaps, redundancies, or inaccuracies in configuration and asset records</li><li>Drive improvements in asset lifecycle tagging, ownership, and criticality classification</li><li>Collaborate with ITSM, ITAM, and platform teams to improve data quality and governance</li></ul> Stakeholder &amp; Decision Support: <ul><li>Provide insights and analysis to:</li><li>Domain leads and task force leads</li><li>Project managers and delivery teams</li><li>Risk, security, and audit stakeholders</li><li>Translate complex data into clear, actionable insights for non‑technical audiences</li><li>Support business case development and roadmap planning with data evidence</li></ul> Data Governance &amp; Continuous Improvement: <ul><li>Define and document data definitions, metrics, and reporting standards</li><li>Automate data refreshes and reporting pipelines where possible</li><li>Identify opportunities to improve lifecycle visibility and predictive risk analysis</li></ul> Requirements: <ul><li>5–8+ years of experience in a data analyst or reporting role within IT or technology functions</li><li>Experience supporting modernization, risk, lifecycle, or transformation initiatives is a strong advantage</li><li>Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or related field</li><li>Power BI or Tableau certification</li><li>ITIL or IT Asset Management certification is a plus</li><li>Data &amp; Analytics Skills</li><li>Strong experience in data analysis and visualization</li><li>Hands on expertise in:</li><li>Power BI (DAX, data modeling, performance optimization)</li><li>Tableau (dashboards, calculated fields, storytelling)</li><li>Strong SQL skills for querying large datasets</li><li>Experience working with structured and semi structured data</li></ul>

Responsibilities: <ul><li>Gather and analyze user requirements for dashboard, monitoring, and reporting enhancements.</li><li>Design, develop, and maintain operational dashboards and monitoring solutions based on business and technical requirements.</li><li>Create, modify, and optimize queries to extract, analyze, and present data for business and operational reporting.</li><li>Develop reports and analytics that provide actionable insights into system performance, availability, and operational health.</li><li>Support and administer enterprise monitoring tools such as Splunk and Geneos.</li><li>Troubleshoot monitoring alerts, dashboard discrepancies, and reporting-related issues.</li><li>Participate in system implementation, enhancement, testing, and deployment activities.</li><li>Ensure compliance with organizational standards, governance, and audit requirements.</li><li>Prepare and maintain technical documentation, user guides, and operational procedures.</li><li>To identify area of monitoring coverage to be improved; and work with relevant teams to enable monitoring solution to improve monitoring coverage.</li><li>To identify area of triage efficiency to be improved; and work with relevant teams to implement solution to improve triage efficiency.</li><li>To identify area of automation of service recovery ability to be improved; and work with relevant teams to implement solution to automate service recovery ability.</li><li>To work with various stakeholders (i.e., service automation, level 2 (group) and level 3 production support etc) to implement application monitoring, service end-to-end dashboard, and automation of service recovery.</li></ul> Requirements: <ul><li>Strong hunter mentality with a passion for creating new business opportunities and opening new partner relationships.</li><li>Experience in business development, channel sales, partner sales, technology sales, or customer acquisition roles.</li><li>Comfort with outbound prospecting, cold outreach, networking, pipeline generation, and opportunity development.</li><li>Understanding of cloud technologies, managed services, software licensing, cybersecurity, or broader IT solutions.</li><li>Strong commercial acumen with the ability to influence stakeholders and build strategic business relationships.</li><li>Self-motivated, resilient, and driven by achieving growth targets, partner acquisition goals, and business outcomes.</li></ul>

Responsibilities: <ul><li>Lead &amp; participate in the design, development, and maintenance of FMF-related applications.&nbsp;&nbsp;</li><li>Conduct impact analysis and internal data mapping during the design phase.&nbsp;&nbsp;</li><li>Collaborate with business analysts and stakeholders to finalize technical requirements.&nbsp;&nbsp;</li><li>Perform defect analysis and resolution.&nbsp;&nbsp;</li><li>Write and maintain Unix/Linux shell scripts to support automation and integration.&nbsp;&nbsp;</li><li>Execute SQL queries and updates to support application logic and reporting.&nbsp;&nbsp;</li><li>Manage and mentor junior developers, ensuring quality and timely delivery.&nbsp;&nbsp;</li><li>Coordinate with testing, infrastructure, and compliance teams to ensure smooth deployment and support.&nbsp;&nbsp;</li><li>Provide regular updates to project managers and escalate risks/issues with proposed resolutions.&nbsp;&nbsp;</li><li>Lead technical implementation of vendor products (e.g., Firco™ Continuity).&nbsp;&nbsp;</li><li>Perform gap analysis between internal requirements and vendor product capabilities.&nbsp;&nbsp;</li><li>Liaise with vendors to address product limitations, customization needs, and integration challenges.&nbsp;&nbsp;</li><li>Ensure compliance with internal standards and regulatory requirements during implementation.&nbsp;&nbsp;</li><li>Document technical specifications, deployment procedures, and support guides.&nbsp;</li></ul> Requirements&nbsp;&nbsp; <ul><li>Experienced in software development roles, with at least 2 years in a senior or lead capacity.&nbsp;&nbsp;</li><li>Proven eperience in banking or financial services, especially in compliance or payments.&nbsp;&nbsp;</li><li>Strong understanding of SDLC processes and experience in technical design and impact analysis.&nbsp;&nbsp;</li><li>Experience implementing and managing vendor products in enterprise environments.&nbsp;&nbsp;</li><li>Proficient in Unix/Linux shell scripting and SQL.&nbsp;&nbsp;</li><li>Hands-on experience with Java for defect resolution and enhancements.&nbsp;&nbsp;</li><li>Familiarity with payment technologies (SWIFT messaging, transaction flows) and AML systems&nbsp;&nbsp;</li><li>Experience with DevOps practices and CI/CD tools (Jenkins, Artifactory, SonarQube) will be an added&nbsp;</li><li>advantage&nbsp;&nbsp;</li><li>Degree in Computer Science, Engineering, or a related field.&nbsp;&nbsp;</li><li>Additional certifications in payment or compliance technology are advantageous&nbsp;&nbsp;</li></ul>

Responsibilities: <ul><li>Execute assigned company BTS projects in accordance with the approved business plan, project brief, contract requirements, baseline programme, budget, quality standards, and Project Delivery procedures.</li><li>Prepare and coordinate Job Requisitions and project initiation requirements for consultants, contractors, enabling works, and specialist services in collaboration with Development, Design, Procurement and Contracts, Commercial, and other relevant functions.</li><li>Monitor day-to-day construction progress, critical path activities, procurement schedules, design deliverables, material approvals, manpower, equipment, and site productivity against the approved programme and VOWD targets.</li><li>Review contractor and consultant execution, mitigation, recovery, and acceleration plans; track agreed actions and escalate delays, constraints, or underperformance requiring Project Lead or senior management intervention.</li><li>Coordinate resolution of technical queries, RFIs, design interfaces, constructability matters, mock-ups,</li><li>material submissions, and site issues while protecting approved design intent, quality, cost, and delivery milestones.</li><li>Track project commitments, actual expenditure, cash flow, payment applications, variations, claims, and forecasts against the approved budget; verify supporting information and promptly report potential cost exposure.</li><li>Administer project risks, issues, changes, and decisions using approved company registers and governance processes, ensuring impacts on scope, programme, cost, quality, and handover are recorded and escalated.</li></ul> Requirements: <ul><li>Bachelor’s degree in Civil Engineering, Architectural Engineering, Construction Management, or a related discipline; a relevant master’s degree is preferred.</li><li>Project Management Professional (PMP) or an equivalent recognized project management certification is preferred.</li><li>Strong practical knowledge of developer-side project execution, construction management, contract administration, programme and cost control, quality, HSE, authority approvals, testing and commissioning, handover, DLP, and project close-out.</li><li>Sound knowledge of UAE building codes, Dubai construction regulations, statutory approvals, utility requirements, and applicable environmental and quality standards.</li><li>Minimum 10–12 years of relevant experience in construction and project delivery, including 4–6 years managing the execution of large-scale or multidisciplinary real estate projects.</li><li>Demonstrated hands-on experience in site execution, contractor and consultant coordination, programme recovery, cost and change control, authority interfaces, testing and commissioning, handover, and close-out; UAE developer-side experience is strongly preferred.</li></ul>

Responsibilities: <ul><li>Lead end-to-end strategy, deployment, and optimization of sophisticated multi-domain solutions across SD-Access, SD-WAN, and Routing &amp; Switching for strategic customers.</li><li>Review and approve designs and deliverables, including guidance to customer hardware/software roadmaps, embedding Resilience and Security by Design.</li><li>Integrate AI, automation, and AIOps into delivery practices; handle the teams knowledge repository, playbooks, and reusable IP.</li><li>Act as the senior escalation point for the most sophisticated technical issues; build advanced customer simulations and lead resolution across vendors and partners.</li><li>Mentor junior Consulting Engineers, build leadership presence through industry events (e.g., Live, IETF), and use competitive insights to differentiate company solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience with 9 years overall experience.</li><li>Experience architecting, deploying, and optimizing enterprise-scale networks.</li><li>Experience crafting and troubleshooting Enterprise solutions with deep expertise in Routing &amp; Switching (BGP, OSPF, IS-IS, MPLS/Segment Routing, VXLAN/LISP, multicast, segmentation).</li><li>Experience with software programmability, automation, orchestration, and AIOps (Python, Ansible, Terraform, CI/CD, NETCONF/YANG, REST APIs).</li><li>An understanding of multi-vendor environments, including DC/Nexus technologies</li></ul>

Responsibilities: <ul><li>Lead the electrical engineering strategy and delivery plan for assigned company projects, translating development briefs and operational requirements into clear design criteria, scopes of services, technical standards, deliverables and governance controls.</li><li>Lead the technical evaluation, appointment and performance management of MEP consultants, specialist designers, contractors and suppliers, ensuring competent resources, timely deliverables and compliance with contractual obligations.</li><li>Direct and assure the design of electrical power, lighting, emergency power, earthing, lightning protection, ELV, ICT, AV and security systems across concept, schematic, detailed design, tender and IFC stages, ensuring full multidisciplinary coordination, constructability and operability.</li><li>Ensure all electrical designs, calculations, specifications and installations comply with company requirements, applicable UAE regulations and the requirements of DEWA, Dubai Civil Defence, SIRA, telecom providers and other relevant authorities.</li><li>Provide senior technical input to feasibility studies, procurement strategies, tender documents, bid evaluations and technical clarifications, and recommend appointments based on compliance, capability, lifecycle value and project risk.</li><li>Drive value engineering, standardization, energy efficiency, smart-building integration and lifecycle-cost optimization without compromising safety, quality, customer experience, maintainability or performance.</li><li>Govern construction-phase technical submissions, including shop drawings, material submittals, method statements, RFIs, design changes and technical deviations, ensuring decisions are timely, documented and aligned with approved design intent and change-control requirements.</li><li>Monitor site execution through targeted inspections, technical audits and progress reviews; direct corrective action for quality deficiencies, non-conformances, interface issues and emerging risks, and escalate matters affecting safety, cost, programme or handover readiness.</li><li>Lead electrical testing and commissioning governance, integrated systems testing, authority</li><li>inspections, energization and performance verification, ensuring approved procedures, complete records and safe, reliable operation of all systems.</li><li>Manage electrical handover and close-out, including authority NOCs and approvals, as-built drawings, asset data, operation and maintenance manuals, training, warranties, spares, snag closure and defectliability obligations, in coordination with company operators and end users.</li><li>Maintain clear oversight of electrical cost, programme, procurement status, technical risks, changes and consultant/contractor performance, providing accurate reports, forecasts, recommendations and timely escalations to Project Delivery leadership.</li><li>Lead, coach and develop the electrical engineering team; allocate resources across projects, promote knowledge sharing and lessons learned, and establish consistent technical standards and best practices across the company portfolio.</li></ul> Requirements: <ul><li>Bachelor’s degree in Electrical Engineering from an accredited university; a master’s degree is advantageous.</li><li>Professional engineering registration, chartership or recognized project-management certification is preferred.</li><li>Strong knowledge of UAE electrical regulations, utility and authority requirements, international codes, sustainability principles and safe systems of work.</li><li>Minimum 12–15 years of progressive electrical engineering experience in major real estate or infrastructure developments, including at least</li><li>five years in a management or technical-leadership role with accountability across design, construction, testing, commissioning, authority approvals and handover.</li><li>Demonstrated experience managing multidisciplinary consultants, contractors and specialist systems across multiple concurrent projects in</li><li>the UAE or a comparable regulatory environment.</li></ul>

Skills

Industry

Location

Jobtitle

62 ci specialist Jobs found

Software Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Cloud Engineering Manager

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Senior Team Lead

Senior Manager - Project Delivery

Consulting Engineer - Routing, Switching, SDWAN

Senior Manager- Electrical

WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

62 ci specialist Jobs found

Software Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Cloud Engineering Manager

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Senior Team Lead

Senior Manager - Project Delivery

Consulting Engineer - Routing, Switching, SDWAN

Senior Manager- Electrical

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.