devops developer

Saal.ai

<div>
 
 
 Job Purpose:
 
 
 
 As a DevOps Engineer, you will be responsible for implementing and maintaining the systems and processes that enable efficient and automated software development, deployment, and operations. You will collaborate with cross-functional teams to enhance our development and operations lifecycle, enabling faster and more reliable software delivery.
 
 
 
 
 
 
 Job Specific Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain a scalable and efficient infrastructure for software development, testing, and deployment.
 </li>
 <li>
 Implement and maintain continuous integration and continuous delivery (CI/CD) pipelines, ensuring smooth and automated software releases.
 </li>
 <li>
 Collaborate with software developers to streamline build, deployment, and release processes.
 </li>
 <li>
 Handling deployments at customer premises.
 </li>
 <li>
 Monitor and optimize system performance, ensuring high availability and scalability.
 </li>
 <li>
 Implement and maintain configuration management tools and practices, ensuring consistency across environments.
 </li>
 <li>
 Implement and maintain containerization and orchestration technologies such as Docker and Kubernetes.
 </li>
 <li>
 Collaborate with security teams to implement and enforce best practices for infrastructure and application security.
 </li>
 <li>
 Troubleshoot and resolve issues related to infrastructure, deployments, and performance.
 </li>
 <li>
 Stay up-to-date with emerging technologies and industry trends related to DevOps and cloud computing.
 </li>
 </ul>
 
 
 
 
 
 Essential Skills:
 
 
 <ul>
 <li>
 Proven experience working as a DevOps Engineer or in a similar role.
 </li>
 <li>
 Strong knowledge of software development methodologies and best practices.
 </li>
 <li>
 Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
 </li>
 <li>
 Proficiency in any of the scripting languages such as Python, Bash etc.
 </li>
 <li>
 Experience with any of the CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
 </li>
 <li>
 Hands-on experience with containerization and orchestration technologies like Docker and Kubernetes.
 </li>
 <li>
 Understanding of networking concepts, including TCP/IP, DNS, load balancing, and firewalls.
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently as well as in a team environment.
 </li>
 <li>
 Excellent communication and collaboration skills, with the ability to interact effectively with cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Desirable Skills:
 
 
 <ul>
 <li>
 Certification in DevOps-related technologies (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator).
 </li>
 <li>
 Experience with infrastructure-as-code tools like Terraform or CloudFormation.
 </li>
 <li>
 Knowledge of monitoring and logging tools such as ELK Stack, Prometheus, or Grafana.
 </li>
 <li>
 Understanding of Agile and DevOps methodologies.
 </li>
 <li>
 Familiarity with database management systems like MySQL, PostgreSQL, and MongoDB.
 </li>
 </ul>
 
 
 
</div>

DevOps Engineer

Synnect Group L.L.C-FZ

Eligibility Criteria:<ul><li>Candidates must currently be based in the UAE.</li><li>Only candidates holding a valid Dependent Visa are eligible to apply.</li><li>Must be available to join immediately or within a short notice period.</li><li>Relevant experience in the required domain.</li><li>Strong communication and interpersonal skills.</li></ul>Required skills &amp; experience<ul><li>4+ years in DevOps / cloud engineering, supporting .NET application delivery to production.</li><li>Experience deploying and operating agentic AI / GenAI services (LLM-based agents) in production.</li><li>Strong CI/CD (Azure DevOps, Git), IaC (Terraform / ARM / Bicep), and scripting (PowerShell / Bash).</li><li>Containerisation &amp; orchestration (Docker, Kubernetes); cloud services (Azure preferred).</li><li>Monitoring / observability tooling; production security &amp; governance practices.</li></ul>Pay: AED5,000.00 - AED8,000.00 per monthWork Location: In person

.NET DevOps Engineer

YO IT Consulting

<div>
 
 Job Title:
 
 Software Engineering
 
 
 
 Job Type:
 
 Contractor (10-12 hours per week)
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.
 
 
 No prior AI experience is required. What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects.
 </li>
 <li>
 Review, debug, improve, and explain code across different technical environments.
 </li>
 <li>
 Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows.
 </li>
 <li>
 Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience.
 </li>
 <li>
 Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered.
 </li>
 <li>
 Collaborate with the customer&rsquo;s team on technical reviews, implementation decisions, and problem-solving exercises.
 </li>
 <li>
 Adapt quickly to new codebases, frameworks, and technical requirements.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 5+ years of hands-on software engineering experience.
 </li>
 <li>
 Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, Node.js, Java, C#, .NET, C++, Go, Ruby, PHP, or similar.
 </li>
 <li>
 Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations.
 </li>
 <li>
 Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.
 </li>
 <li>
 Ability to explain complex engineering decisions clearly and objectively.
 </li>
 <li>
 Comfortable reading and reasoning through unfamiliar code or technical requirements
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with cloud environments such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations.
 </li>
 <li>
 Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native.
 </li>
 <li>
 Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work.
 </li>
 <li>
 Experience mentoring engineers, reviewing code, or making architecture decisions.
 </li>
 </ul>
</div>

JavaScript/TypeScript Developer - Remote

Contango

<div>
 
 Contract duration:
 
 6 months (with a potential extension)
 
 
 
 Engagement Type:
 
 Full-time
 
 
 
 Start date:
 
 July 2026
 
 
 
 Location:
 
 Abu Dhabi (on-site)
 
 
 
 About Contango
 
 
 
 Contango is the strategic partner for transformative growth and sustained success for the ADQ portfolio. Our team excels in providing comprehensive growth solutions that combine global best practices with local market expertise. We focus on long-term value creation, empowering our clients to achieve the full scale of their aspirations. As a trusted advisor to ADQ's portfolio companies, Contango helps CEOs drive strategic growth initiatives, navigate disruptive forces, and maximize long-term value creation.
 
 
 
 Role Overview
 
 
 
 As a Senior Data Scientist, you will independently work on specific data projects and be responsible for implementing analytical solutions. You will design, build, deploy, and support end-to-end Data &amp; AI solutions. You will translate complex business challenges into scalable, production-ready analytics and machine learning systems, collaborating closely with product, data engineering, and architecture stakeholders to deliver measurable impact.
 
 
 
 Key Responsibilities
 
 
 
 
 Use Case Framing &amp; Solution Design
 
 
 
 <ul>
 <li>
 Translate client business problems into end-to-end system architectures that combine Data, ML, and software components.
 </li>
 <li>
 Lead the design of scalable, modular AI solutions, defining services, interfaces, and data flows.
 </li>
 <li>
 Make explicit trade-offs across performance, cost, latency, and maintainability.
 </li>
 <li>
 Define success metrics, SLAs, and non-functional requirements (reliability, security, scalability).
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Feature Systems
 
 
 
 <ul>
 <li>
 Design and implement robust data pipelines (batch and streaming) with strong guarantees on quality, lineage, and observability.
 </li>
 <li>
 Build and manage feature pipelines and feature stores, ensuring consistency between training and inference.
 </li>
 <li>
 Collaborate with platform teams to define data models, schemas, and storage strategies.
 </li>
 <li>
 Enforce standards for data validation, testing, and monitoring within production systems.
 
 
 </li>
 </ul>
 
 Applied ML &amp; Production-Grade Development
 
 
 
 <ul>
 <li>
 Develop ML solutions using production-quality code (Python/JS), following software engineering best practices.
 </li>
 <li>
 Structure codebases into maintainable, testable modules, with clear separation of concerns.
 </li>
 <li>
 Implement unit, integration, and end-to-end tests for data and ML components.
 </li>
 <li>
 Package models and logic into deployable services (APIs, microservices, batch jobs) using modern frameworks.
 </li>
 <li>
 Balance model sophistication with system performance, latency, and operational constraints.
 
 
 </li>
 </ul>
 
 MLOps, DevOps &amp; Platform Integration
 
 
 
 <ul>
 <li>
 Build and maintain CI/CD pipelines for ML systems, including automated testing, validation, and deployment.
 </li>
 <li>
 Containerize and deploy services using Docker, Kubernetes, and cloud-native tooling.
 </li>
 <li>
 Implement model versioning, experiment tracking, and artifact management.
 </li>
 <li>
 Design monitoring and observability systems (logs, metrics, alerts) for both data and model performance.
 </li>
 <li>
 Automate retraining, rollback, and release strategies to ensure system resilience.
 
 
 </li>
 </ul>
 
 System Reliability, Scalability &amp; Security
 
 
 
 <ul>
 <li>
 Design systems for high availability, fault tolerance, and horizontal scalability.
 </li>
 <li>
 Optimize performance across data pipelines and inference services (latency, throughput, cost).
 </li>
 <li>
 Apply secure coding practices, access controls, and data protection standards.
 </li>
 <li>
 Manage technical debt and ensure long-term maintainability of production systems.
 
 
 </li>
 </ul>
 
 Documentation, Standards &amp; Engineering Excellence
 
 
 
 <ul>
 <li>
 Produce developer-focused documentation (APIs, architecture diagrams, runbooks).
 </li>
 <li>
 Establish and enforce coding standards, review processes, and engineering best practices.
 </li>
 <li>
 Build reusable libraries, SDKs, and internal frameworks to accelerate delivery.
 </li>
 <li>
 Drive continuous improvement in engineering maturity, tooling, and delivery practices across the consultancy.
 
 
 </li>
 </ul>
 
 Required Experience And Qualifications
 
 
 
 <ul>
 <li>
 Prior experience at management consulting firms and/or Big Tech is an advantage.
 </li>
 <li>
 Client-serving experience is an advantage.
 </li>
 <li>
 5+ years of experience in data science or a related analytical field.
 </li>
 <li>
 5+ years delivering end-to-end analytics/ML solutions from problem framing through deployment and ongoing monitoring in production.
 </li>
 <li>
 Experience applying software engineering methodologies and best practices, including coding standards, code reviews, build processes, testing, and security.
 </li>
 <li>
 Prior experience in developing AI solutions on public cloud services is an advantage.
 </li>
 <li>
 Bachelor&rsquo;s degree (Master&rsquo;s preferred) in a quantitative field (Computer Science, Data Science, Statistics, Mathematics, Engineering).
 </li>
 <li>
 Technical Expertise:
 </li>
 <ul>
 <li>
 Coding &amp; data querying: Python (pandas/NumPy) and SQL; writing clean, testable code with Git.
 </li>
 <li>
 Statistics &amp; experimentation: Probability/statistics, hypothesis testing, regression, and A/B testing/experimental design.
 </li>
 <li>
 ML modelling: Feature engineering, model selection, cross-validation, metrics, and hyperparameter tuning (supervised/unsupervised).
 </li>
 <li>
 Data prep &amp; analysis: ETL/EDA, data cleaning, handling missing/outliers, and building insight narratives with visuals.
 </li>
 </ul>
 </ul>
</div>

Senior Data Scientist (6 months contract)

<div>Contract duration: 6 months (with a potential extension) 
Engagement Type: Full-time 
Start date: July 2026 
Location: Abu Dhabi (on-site) 
About Contango:
Contango is the strategic partner for transformative growth and sustained success for the ADQ portfolio. Our team excels in providing comprehensive growth solutions that combine global best practices with local market expertise. We focus on long-term value creation, empowering our clients to achieve the full scale of their aspirations. As a trusted advisor to ADQ's portfolio companies, Contango helps CEOs drive strategic growth initiatives, navigate disruptive forces, and maximize long-term value creation.
Role Overview
As a Senior Data Scientist, you will independently work on specific data projects and be responsible for implementing analytical solutions. You will design, build, deploy, and support end-to-end Data &amp; AI solutions. You will translate complex business challenges into scalable, production-ready analytics and machine learning systems, collaborating closely with product, data engineering, and architecture stakeholders to deliver measurable impact. 
Key Responsibilities
Use Case Framing &amp; Solution Design<ul><li>
Translate client business problems into end-to-end system architectures that combine Data, ML, and software components.</li><li>
Lead the design of scalable, modular AI solutions, defining services, interfaces, and data flows.</li><li>
Make explicit trade-offs across performance, cost, latency, and maintainability.</li><li>
Define success metrics, SLAs, and non-functional requirements (reliability, security, scalability).</li></ul>
Data Engineering &amp; Feature Systems<ul><li>
Design and implement robust data pipelines (batch and streaming) with strong guarantees on quality, lineage, and observability.</li><li>
Build and manage feature pipelines and feature stores, ensuring consistency between training and inference.</li><li>
Collaborate with platform teams to define data models, schemas, and storage strategies.</li><li>
Enforce standards for data validation, testing, and monitoring within production systems.</li></ul>
Applied ML &amp; Production-Grade Development<ul><li>
Develop ML solutions using production-quality code (Python/JS), following software engineering best practices.</li><li>
Structure codebases into maintainable, testable modules, with clear separation of concerns.</li><li>
Implement unit, integration, and end-to-end tests for data and ML components.</li><li>
Package models and logic into deployable services (APIs, microservices, batch jobs) using modern frameworks.</li><li>
Balance model sophistication with system performance, latency, and operational constraints.</li></ul>
MLOps, DevOps &amp; Platform Integration<ul><li>
Build and maintain CI/CD pipelines for ML systems, including automated testing, validation, and deployment.</li><li>
Containerize and deploy services using Docker, Kubernetes, and cloud-native tooling.</li><li>
Implement model versioning, experiment tracking, and artifact management.</li><li>
Design monitoring and observability systems (logs, metrics, alerts) for both data and model performance.</li><li>
Automate retraining, rollback, and release strategies to ensure system resilience.</li></ul>
System Reliability, Scalability &amp; Security<ul><li>
Design systems for high availability, fault tolerance, and horizontal scalability.</li><li>
Optimize performance across data pipelines and inference services (latency, throughput, cost).</li><li>
Apply secure coding practices, access controls, and data protection standards.</li><li>
Manage technical debt and ensure long-term maintainability of production systems.</li></ul>
Documentation, Standards &amp; Engineering Excellence<ul><li>
Produce developer-focused documentation (APIs, architecture diagrams, runbooks).</li><li>
Establish and enforce coding standards, review processes, and engineering best practices.</li><li>
Build reusable libraries, SDKs, and internal frameworks to accelerate delivery.</li><li>
Drive continuous improvement in engineering maturity, tooling, and delivery practices across the consultancy.</li></ul>
Required Experience and Qualifications<ul><li>
Prior experience at management consulting firms and/or Big Tech is an advantage.</li><li>
Client-serving experience is an advantage.</li><li>
5+ years of experience in data science or a related analytical field.</li><li>
5+ years delivering end-to-end analytics/ML solutions from problem framing through deployment and ongoing monitoring in production.</li><li>
Experience applying software engineering methodologies and best practices, including coding standards, code reviews, build processes, testing, and security.</li><li>
Prior experience in developing AI solutions on public cloud services is an advantage.</li><li>
Bachelor&rsquo;s degree (Master&rsquo;s preferred) in a quantitative field (Computer Science, Data Science, Statistics, Mathematics, Engineering).</li><li>
Technical Expertise:<ul><li>
Coding &amp; data querying: Python (pandas/NumPy) and SQL; writing clean, testable code with Git.</li><li>
Statistics &amp; experimentation: Probability/statistics, hypothesis testing, regression, and A/B testing/experimental design.</li><li>
ML modelling: Feature engineering, model selection, cross-validation, metrics, and hyperparameter tuning (supervised/unsupervised).</li><li>
Data prep &amp; analysis: ETL/EDA, data cleaning, handling missing/outliers, and building insight narratives with visuals.</li></ul></li></ul></div>

Salt

<div>
 
 
 🤖 Full Stack Engineer
 
 
 
 
 ⏳ 6-month initial contract - with extensions
 
 
 
 
 📍 Abu Dhabi
 
 
 
 
 
 
 
 Build the Future of AI in Banking
 
 
 
 
 
 
 We're partnering with one of the UAE's leading financial institutions to hire an experienced
 
 Full Stack Developer
 
 to help shape the next generation of AI-powered banking.
 
 
 
 
 
 You'll play a key role in developing the customer and operational interfaces for a cutting-edge
 
 Agentic AI platform
 
 , creating intuitive applications that connect complex AI decision-making with the people who rely on it every day. From Human-in-the-Loop (HITL) review portals and real-time operational dashboards to internal AI management tools, you'll build products that are central to the bank's AI transformation journey.
 
 
 
 
 
 This is an opportunity to work on enterprise-scale AI solutions using modern technologies including
 
 React, TypeScript, Node.js, Azure, Kubernetes, REST APIs, and GenAI integrations
 
 , while collaborating with AI Engineers, Product teams, Business Analysts and Platform Architects.
 
 
 The Role As a
 
 Full Stack Developer
 
 , you'll own the design and development of the human-facing applications that power the bank's AI ecosystem. You'll transform complex AI outputs, including confidence scores, exception handling, agent status and operational metrics&mdash;into intuitive, high-performance user experiences for operations teams, business users and customers.
 
 
 
 
 
 
 What You'll Be Doing:
 
 
 
 Build Modern AI Applications
 
 <ul>
 <li>
 Develop enterprise-grade React &amp; TypeScript applications for AI-powered banking solutions.
 </li>
 <li>
 Design intuitive interfaces that visualise AI decisions, confidence scores and workflow status.
 </li>
 <li>
 Create responsive, accessible applications that deliver an exceptional user experience.
 </li>
 </ul>
 
 Human-in-the-Loop (HITL) Platform
 
 <ul>
 <li>
 Develop reviewer portals enabling operations teams to validate AI-generated decisions.
 </li>
 <li>
 Build document viewers with field overlays and confidence indicators.
 </li>
 <li>
 Create streamlined approval, edit and rejection workflows with productivity-focused features.
 </li>
 </ul>
 
 Operational Dashboards
 
 <ul>
 <li>
 Build real-time dashboards displaying AI performance and operational health.
 </li>
 <li>
 Visualise key metrics including:
 </li>
 <li>
 Straight Through Processing (STP)
 </li>
 <li>
 Human intervention rates
 </li>
 <li>
 AI confidence trends
 </li>
 <li>
 Processing latency
 </li>
 <li>
 Token consumption
 </li>
 <li>
 Document volumes
 </li>
 <li>
 Exception analytics
 </li>
 </ul>
 
 Platform &amp; API Integration
 
 <ul>
 <li>
 Integrate applications with AI services, REST APIs and backend orchestration platforms.
 </li>
 <li>
 Develop secure communication between AI services and banking applications.
 </li>
 <li>
 Consume real-time event streams using WebSockets and Server-Sent Events.
 </li>
 </ul>
 
 Internal AI Tooling
 
 <ul>
 <li>
 Build internal portals supporting AI prompt management, testing, annotation and AI use case configuration.
 </li>
 <li>
 Create developer tooling that accelerates AI delivery across multiple business functions.
 </li>
 </ul>
 
 Performance &amp; Accessibility
 
 <ul>
 <li>
 Deliver highly performant applications optimised for enterprise environments.
 </li>
 <li>
 Ensure solutions meet accessibility standards and gracefully handle AI processing latency.
 </li>
 <li>
 Contribute to a reusable design system and component library aligned with corporate branding.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 
 Essential Experience
 
 <ul>
 <li>
 5+ years' experience as a Full Stack Developer
 </li>
 <li>
 Commercial experience delivering
 
 AI, Generative AI, Agentic AI or Conversational AI
 
 projects
 </li>
 <li>
 Strong React &amp; TypeScript development experience
 </li>
 <li>
 Node.js or Python (FastAPI / Express)
 </li>
 <li>
 REST API integration and development
 </li>
 <li>
 Experience with WebSockets or Server-Sent Events
 </li>
 <li>
 State management using Redux, Zustand or React Query
 </li>
 <li>
 Data visualisation using Recharts, D3 or similar libraries
 </li>
 <li>
 OAuth2 / OpenID Connect authentication
 </li>
 <li>
 Docker and Kubernetes fundamentals
 </li>
 <li>
 Experience building scalable, enterprise-grade web applications
 </li>
 </ul>
 
 Nice to Have
 
 <ul>
 <li>
 React Native or mobile banking application development
 </li>
 <li>
 Azure Static Web Apps, Azure Front Door or CDN configuration
 </li>
 <li>
 High-resolution document rendering and annotation tools
 </li>
 <li>
 Experience displaying streaming LLM responses
 </li>
 <li>
 Understanding of AI/ML concepts including confidence scoring, model evaluation and operational metrics
 </li>
 <li>
 Experience working within Azure cloud environments
 </li>
 </ul>
 
 
 
 
 
 Why Join?
 
 
 
 This is a rare opportunity to work on one of the region's most ambitious AI transformation programmes.
 
</div>

Full Stack Engineer

Metropolitan Capital Real Estate

Realtor &ndash; International Clients (Chinese Speaker)Metropolitan Capital Real Estate &ndash; Abu Dhabi, UAE Full‑Time | On‑Site | High Commission Earnings | Global Client PortfolioAbout Metropolitan Capital Real EstateMetropolitan Capital Real Estate is one of Abu Dhabi&rsquo;s leading and fastest‑growing real estate brokerages. With exclusive developer partnerships, premium listings, and a strong international presence, we provide our realtors with a powerful platform to succeed.As demand from Chinese‑speaking buyers and investors continues to grow, we are seeking a professional Realtor &ndash; International Clients (Chinese Speaker) to deliver a seamless, culturally aligned experience to clients from Mainland China, Hong Kong, Taiwan, Singapore, and global Chinese‑speaking communities.Key Responsibilities<ul><li>Assist Chinese‑speaking clients with property inquiries, viewings, and investment consultations</li><li>Conduct tailored presentations, virtual tours, and community briefings in Chinese and English</li><li>Promote off‑plan and ready properties from top Abu Dhabi developers</li><li>Build and maintain a portfolio of international buyers, sellers, landlords, and investors</li><li>Provide expert guidance on pricing, ROI, rental yields, payment plans, and market trends</li><li>Support clients with relocation needs, lifestyle insights, and community recommendations</li><li>Negotiate offers and close transactions with professionalism and accuracy</li><li>Maintain CRM records and follow company sales processes</li><li>Represent Metropolitan Capital Real Estate with cultural understanding and global professionalism</li></ul>Requirements<ul><li>Fluency in Chinese (Mandarin) and English</li><li>Experience in real estate sales, advisory, or high‑value client‑facing roles</li><li>Strong communication, negotiation, and relationship‑building skills</li><li>Ability to build trust with international clients and high‑net‑worth individuals</li><li>Highly motivated, disciplined, and target‑driven</li><li>Professional appearance and strong business acumen</li><li>Valid UAE driving license and access to a car</li><li>Knowledge of the Abu Dhabi real estate market is an advantage</li></ul>What We Offer<ul><li>Attractive commission structure with high earning potential</li><li>Full marketing, administrative, and CRM support</li><li>Access to exclusive developer inventories and project launches</li><li>Professional training tailored to international real estate and investment advisory</li><li>A multicultural, supportive, and high‑performance work environment</li><li>Clear career growth opportunities within a leading real estate brand</li></ul>Why Join UsYour Chinese‑language skills and cultural insight will position you as a key advisor for one of Abu Dhabi&rsquo;s fastest‑growing international client segments. With premium inventory, strong developer partnerships, and full operational support, you&rsquo;ll have everything you need to build a successful and globally focused real estate career.How to ApplySubmit your CV through Indeed. Only shortlisted candidates will be contacted.Pay: Up to AED1.00 per monthWork Location: In person

Realtor – International Clients (Chinese Speaker)

Explore 29+ Devops developer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

29 devops developer jobs In Abu Dhabi

DevOps Engineer

.NET DevOps Engineer

JavaScript/TypeScript Developer - Remote

Senior Data Scientist (6 months contract)

Senior Data Scientist (6 months contract)

Full Stack Engineer

Realtor – International Clients (Chinese Speaker)