ai engineer

full stack engineer

senior devops engineer

testing engineer

ai software engineer

staff software engineer

noon

<div>
 
 
 About noon
 
 
 
 noon, the region's leading consumer commerce platform. On December 12th, 2017, noon
 
 
 launched its consumer platform in Saudi Arabia and the UAE, expanding to Egypt in February
 
 
 2019. The noon ecosystem of services now marketplaces for food delivery, quick commerce,
 
 
 fintech, and fashion. noon is a work in progress; we&rsquo;re six years in, but only 5% done.
 
 
 noon&rsquo;s mission: Ring every doorbell, every day.
 
 
 
 
 
 
 Who are we?
 
 
 
 Everyday Labs is noon&rsquo;s innovation engine &mdash; a place built to imagine, build, and scale new ideas that create real value for users, for noon, and for the world. Our mission is simple: turn imagination into measurable impact. We explore new technologies, test new business models, and launch products that push noon&rsquo;s ecosystem forward with speed, clarity, and purpose.
 
 
 If you want to build models, ML pipelines and AI that become the foundation for future noon businesses, this is where you belong.
 
 
 
 
 
 
 About the role:
 
 
 
 As a Staff Machine Learning Engineer at Everyday Labs, you will architect and deliver the intelligence that powers our next generation of products, experiments, and ventures. You will work at the intersection of applied machine learning, experimentation, and scalable engineering &mdash; building models and ML infrastructure that can go from idea to deployed value with exceptional velocity and rigor.
 
 
 
 
 
 This is a highly technical, high-ownership role where you will influence technical strategy, hire and mentor engineers, and help shape the culture and systems that allow ML ideas to become high-impact reality.
 
 
 
 
 
 
 What you'll do:
 
 
 
 
 
 
 
 Machine Learning: Turning Ideas into Value
 
 
 
 &bull; Design, train, and deploy ML models that deliver measurable impact across multiple aspects of noon&rsquo;s vast e-commerce footprint.
 
 
 &bull; Translate ambiguous or zero-to-one problems into clear hypotheses, measurable signals, and verifiable ML solutions.
 
 
 &bull; Collaboration with product, engineering and business leaders to define value metrics and success thresholds early and rigorously.
 
 
 
 
 
 
 Production ML Systems &amp; Pipelines:
 
 
 
 &bull; Architect reliable training, validation, and deployment pipelines using modern MLOps practices.
 
 
 &bull; Build and maintain feature stores, automated retraining systems, online inference services, and monitoring frameworks.
 
 
 &bull; Ensure systems meet high bars for observability, reliability, and performance &mdash; excellence in execution is part of our signature.
 
 
 
 
 
 
 Technical Leadership &amp; Cross-Team Ownership:
 
 
 
 &bull; Hire and mentor ML and software engineers across Labs in traditional ML, generative AI technologies.
 
 
 &bull; Contribute to cross-initiative architecture, documentation, and open knowledge sharing.
 
 
 &bull; Work noon partners and stakeholders to apply ML where it can unlock disproportionate impact.
 
 
 
 
 
 
 What you'll need:
 
 
 
 &bull; 6+ years of experience in applied ML engineering
 
 
 &bull; Bachelor's degree in Computer Science, Engineering, or a related technical field, master&rsquo;s or PhD is a plus but not required.
 
 
 &bull; Strong proficiency with Python, modern ML frameworks (PyTorch, TensorFlow, Scikit-learn, XGBoost), and model lifecycle best practices.
 
 
 &bull; Proven experience deploying ML models into real-world systems with CI/CD and automated monitoring.
 
 
 &bull; Strong SQL and data engineering fundamentals, including building scalable data pipelines (Airflow or similar).
 
 
 &bull; Experience with cloud platforms (AWS, GCP, Azure). GCP is a plus.
 
 
 &bull; Experience with generative AI, LLMs, or NLP systems is a strong bonus.
 
</div>

Staff Machine Learning Engineer

Appian

<div><div>Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together.</div> 


Appian is built on a simple premise: we work hard and we do things well. We set high standards for our work and hold ourselves accountable for the results. If you enjoy solving difficult problems alongside a highly talented team, you'll fit in here.

Location &amp; Eligibility:

This is a remote role based in Dubai and covering Middle East region. Our Middle East team is small but highly talented and this is very much an emerging region for us with excellent growth potential. You will be our first SC hire in the region.

The Role:

As a Senior Advisory Solutions Consultant, you are the technical lead during the sales process. You will work with the sales team to show prospective clients how Appian's platform works in practice. You must articulate the business value a prospective client can expect from implementing Appian solutions. This role follows our SC 2.0 model - which means moving beyond basic feature demos to act as a strategic partner for our customers. You will co-create solutions with them, using your technical background to help shape their long-term strategy. You can read more about the SC 2.0 approach here.

This position requires the technical creativity to build working prototypes and the business sense to explain why they matter. You will be responsible for handling technical objections, answering detailed product questions, and making sure potential customers understand exactly how our software fits into their business and provides value.

What you'll do:
<ul>
<li>Work with Account Executives to meet sales goals across large accounts in Middle East.</li>
<li>Manage all technical aspects of a sales cycle, from initial meetings to final presentations.</li>
<li>Work with the AE to complete comprehensive discovery and fully understand the clients business needs.</li>
<li>Write and organize technical responses for RFPs and formal proposals.</li>
<li>Build and present proof-of-concept applications that solve specific customer problems.</li>
<li>Explain technical details and business benefits to executives and stakeholders.</li>
<li>Represent Appian at industry events, conferences, and seminars.</li>
<li>Build long-term relationships with technical staff at target accounts.</li>
<li>Collaborate with internal teams to get the resources or information needed to close a deal.</li> 
</ul>
Your Background:
<ul>
<li>Education: A Bachelor's degree in Computer Science or a related technical field.</li>
<li>Experience: 10+ years as a Solutions Consultant or Sales Engineer for enterprise software.</li>
<li>Technical Background: You must have a background in hands-on technical work, such as previous experience as a Software Engineer or Technical Consultant.</li>
<li>Sales Partnership: You view yourself as a partner to the sales team, taking equal responsibility for account planning and meeting revenue targets.</li>
<li>Technical Knowledge: You can answer deep functional questions and are comfortable discussing production environments, including APIs, application servers, and databases.</li>
<li>Industry Knowledge: You will have experience working large Financial Services &amp; Insurance organisations.</li>
</ul>
<div>Tools and Resources
<ul>
<li>Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires.</li>
<li>Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities.</li>
<li>Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company.</li>
</ul>
Benefits

Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country&mdash;please ask your Talent Acquisition contact for details specific to the location you are applying to.

About Appian

Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit appian.com. [Nasdaq: APPN]

Follow Appian: LinkedIn, Youtube, Instagram, Facebook

Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.

Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at ReasonableAccommodations@appian.com. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

Appian's Applicant &amp; Candidate Privacy Notice</div></div>

Senior Advisory Solutions Consultant

Janus Digital Global

<div>
 
 About Janus Digital
 
 
 
 
 Janus Digital is the agentic AI platform that runs the world's real assets. Based in the UAE with global operations, our enterprise platform acts as the central operating system for intelligent buildings, and we earn only on the additional value we create.
 
 
 
 
 Buildings account for nearly 40% of global energy consumption and carbon emissions, yet most are still run by fragmented systems that react to problems instead of preventing them. We exist to change that, proving that AI for Good is also good business.
 
 
 
 
 Unlike language models that can guess, our platform is grounded in physics: thermodynamics, pressure dynamics, energy conservation, and fluid mechanics. It builds a live, millimetre-accurate picture of every structure, monitors how energy, water, and air move through every system in real time, anticipates maintenance weeks ahead, and makes thousands of autonomous micro-adjustments around the clock. It calculates; it does not guess.
 
 
 
 The technology is not new, it is battle-hardened: development began in 2009 and has matured through four generations of real-world deployment, built on 15+ years of foundational R&amp;D, 76 granted patents, and over $100M invested. The platform is proven across 10,000+ building datasets in 253 cities, trusted by Fortune Global 500 companies, sovereign wealth funds, and premium hospitality brands, spanning hospitals, airports, malls, theme parks, power grids, and manufacturing. Typical outcomes include around 29% energy savings, 99% equipment-risk detection before failure, and full deployment in 14 days with no phased rollout.
 
 
 
 About This Role
 
 
 
 <ul>
 <li>
 This role sits within the AI Office, the team responsible for designing, building, and running Janus Digital's AI platform and the engineering capability behind it. Reporting to the Head of AI Office, the engineer joins a small, senior group working at the core of how the company applies artificial intelligence across its global operations
 </li>
 <li>
 We are looking for a full-stack AI engineer who combines hands-on software delivery with genuine platform depth&mdash;someone who has built and operated systems to a banking-grade standard and is fluent across modern cloud infrastructure, AWS in particular. That background is central to the work: the AI Office ships production systems the wider organisation depends on, where reliability, security, and clean architecture are not optional. The same instincts that keep banking and financial platforms dependable are exactly what this role demands
 </li>
 <li>
 As part of the AI Office, the engineer will own meaningful parts of the platform end to end&mdash;backend services, user-facing interfaces, identity and access, and the AI agent and integration layers&mdash;and will work alongside existing engineers and the CTO function on cloud deployment and reliability. The objective is a platform engineered to a product standard: secure, scalable, observable, and built to evolve as the company and the field do. This engineer is central to making that real
 
 
 </li>
 </ul>
 
 What you'll do
 
 
 
 <ul>
 <li>
 Build and own the product across the stack: backend services and APIs in Python and TypeScript; frontend interfaces in React (or equivalent) for web dashboards, administrative surfaces, and AI agent interaction layers
 </li>
 <li>
 Build cloud-native software on AWS (primary), and across the wider cloud ecosystem where relevant, that assumes it will run in a managed, containerized cluster environment
 </li>
 <li>
 Design and implement enterprise-grade authentication and authorization: SSO (SAML/OIDC), SCIM provisioning, RBAC, and fine-grained IAM
 </li>
 <li>
 Design the platform for multi-tenancy from the ground up: configuration isolation, provisioning flows, usage metering, and the operational tooling needed to run it reliably at scale
 </li>
 <li>
 Build and deploy production AI agents using MCP and streaming APIs; design multi-model orchestration across Claude, Gemini, and other models as the landscape evolves
 </li>
 <li>
 Contribute to and evolve the memory and knowledge architecture at the core of the platform&mdash;a structured, multi-graph, file-based system underpinning institutional intelligence across the company. This is among the hardest and most consequential engineering problems on the platform
 </li>
 <li>
 Architect the platform as a composition of isolated, independently deployable microservices&mdash;each functional domain (finance tools, marketing stack, knowledge layer, agent runtime) a discrete service with well-defined APIs between them
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What we're looking for
 
 
 
 <ul>
 <li>
 5+ years in a full-stack software engineering role, with shipped, production systems at scale&mdash;backend and frontend both visible in your GitHub history
 </li>
 <li>
 Direct experience building or operating banking, fintech, or comparable high-reliability, regulated software; you understand first-hand the reliability, security, and compliance bar these environments demand
 </li>
 <li>
 Demonstrable multi-tenant and/or distributed-systems experience: tenant isolation, provisioning flows, and the operational tooling that keeps distributed systems running in production
 </li>
 <li>
 API design for external consumers: versioning, authentication, rate limiting, and documentation standards
 </li>
 <li>
 Security fundamentals: zero-trust principles, data isolation, audit logging, DLP&mdash;security as a design constraint, not a post-launch checkbox
 </li>
 <li>
 Fluent with agentic development tooling&mdash;Claude Code, Codex, and CLI-based AI workflows&mdash;used with discipline and judgment, not as a substitute for engineering thinking
 </li>
 <li>
 Active GitHub profile mandatory&mdash;applications without a demonstrable commit history will not be considered
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Broad, hands-on cloud experience: AWS (primary), with working knowledge across the wider cloud ecosystem (GCP/Azure). You architect cloud-native systems, not just deploy to a single VM
 </li>
 <li>
 Containerization and cloud-native deployment in production: Docker and Kubernetes; you write software that assumes it will run in a managed cluster environment
 </li>
 <li>
 Strong Python and TypeScript; React or an equivalent modern frontend framework; genuine comfort moving between layers of the stack
 </li>
 <li>
 Enterprise identity and access management implemented in production&mdash;SSO (SAML/OIDC), SCIM, RBAC, Okta or Azure AD&mdash;not just read about
 </li>
 <li>
 AI/LLM integration: MCP server development, function calling, streaming APIs, and multi-model orchestration
 </li>
 <li>
 Experience with core banking, payments, or other regulated financial systems (transaction integrity, settlement, KYC/AML data flows, and similar)
 </li>
 <li>
 Vertex AI / Google AI Studio / Claude API / Gemini Enterprise
 </li>
 <li>
 Slack Apps (Bolt Framework, Block Kit) and Google Workspace integrations
 </li>
 <li>
 Agent memory patterns, structured knowledge graphs, or evolving AI context-management architectures
 </li>
 <li>
 Regional compliance experience (GDPR, Singapore PDPA, UAE data protection frameworks)
 </li>
 <li>
 Familiarity with Terraform or equivalent IaC tooling (ownership sits with the infrastructure team, but fluency helps)
 </li>
 <li>
 Go or Rust for performance-critical components
 </li>
 <li>
 Experience taking an internal platform or product through significant scale or its first external users
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive compensation with performance-based incentives tied to delivery quality and client outcomes
 </li>
 <li>
 A specialized domain-expert role at the absolute frontier of Agentic AI and autonomous building intelligence
 </li>
 <li>
 Hands-on engagement with prestigious, diverse real estate portfolios (commercial offices, hotels, malls, and mixed-use developments)
 </li>
 <li>
 Direct collaboration with our global Head of AI team
 </li>
 <li>
 Clear career progression paths into senior consulting or regional delivery leadership roles
 </li>
 <li>
 Sponsorship and support for professional development, including certifications in building services and energy management
 </li>
 </ul>
</div>

AI Software Engineer

Sustainable Solution Project Management

We are seeking an engineer who can leverage AI to build software with discipline and sound judgment. In this role, you will contribute across automation pipelines, backend systems &amp; APIs, portals and applications, using AI-assisted tools to work efficiently without compromising on quality. We are hiring for the ability to understand the code being produced, to architect how systems fit together, and to validate work thoroughly before it reaches production.Key Requirements- Ability to read, understand and write code &mdash; following its logic, articulating its behavior, and identifying errors rather than accepting output at face value.- Able to map a feature as an end-to-end flow and understand how interconnected components and services depend upon one another when designing a solution.- Examining edge cases, reproducing issues, and treating a single successful run as the beginning of testing rather than its conclusion. Following proper testing and debugging procedures before deploying updates.- Use of AI (ChatGPT, Claude, etc.) as a capable assistant rather than a decision maker. Proper understanding of the strengths and gaps of LLMs, always exercising human reasoning when dealing with problems.- Proficiency with databases such as PostgreSQL, SQL, and Supabase &mdash; able to design, query, and manage data effectively.- Hands-on experience deploying and maintaining applications in production, using approaches such as VPS hosting, Docker, and CI/CD pipelines, with an understanding of how code moves from development to live.- Strong communication skills &mdash; able to clearly explain technical decisions, trade-offs, and progress to both technical and non-technical team members.Qualifications- A degree in a related field such as Computer Science, Software Engineering, or equivalent.- A solid foundation in programming fundamentals (variables, control flow, data structures, APIs, and databases).- Practical experience working with AI tools and LLM platforms such as OpenAI and Claude.- A portfolio of past projects that demonstrates your strengths and the kind of work you are capable of.- Familiarity with TypeScript/React, Node.js, Python, or Flutter/Dart.- Experience with Git, testing practices, REST APIs, webhooks, or third-party integrations.Work Location: In person

AI Automation & Software Engineer

D4 Insight

<div>Location: Dubai, UAE 
Experience: 5+ Years
<h3 class="jobSectionHeader">
Role Overview:</h3>

We are looking for innovative Software Engineer &ndash; Advent to modernize and optimize enterprise investment management platforms built on Advent APX. This role combines expertise in .NET development, MS SQL, automation, APIs, CI/CD, and AI technologies to improve operational efficiency and deliver next-generation financial technology solutions.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>
<h4 class="jobSectionHeader">Platform Engineering</h4>
<ul><li>Administer, maintain, and optimize the Advent APX platform.</li>
<li>Develop backend services and integrations using .NET (C#).</li>
<li>Design scalable application architecture supporting enterprise investment operations.</li>
<li>Ensure application reliability, performance, and security.</li>
</ul><h4 class="jobSectionHeader">Database &amp; Automation</h4>
<ul><li>Develop and optimize complex T-SQL queries, stored procedures, and database objects.</li>
<li>Build automated testing frameworks using Playwright or equivalent tools.</li>
<li>Design CI/CD pipelines to streamline deployments and reduce manual effort.</li>
<li>Identify and automate inefficient operational workflows.</li>
</ul><h4 class="jobSectionHeader">Innovation &amp; Integration</h4>
<ul><li>Integrate modern APIs and microservices using Node.js and .NET.</li>
<li>Explore AI technologies and LLM-based automation opportunities.</li>
<li>Support production issues and optimize enterprise applications.</li>
<li>Collaborate with Product, Infrastructure, and Development teams.</li>
</ul><h3 class="jobSectionHeader">Required Skills:</h3>
<ul><li>Advent APX</li>
<li>.NET (C#)</li>
<li>MS SQL Server</li>
<li>T-SQL</li>
<li>Node.js</li>
<li>API Development</li>
<li>Test Automation (Playwright)</li>
<li>CI/CD Pipelines</li>
</ul><h3 class="jobSectionHeader">Preferred Skills:</h3>
<ul><li>AI &amp; LLM Frameworks</li>
<li>Azure DevOps</li>
<li>Microservices</li>
<li>Git</li>
<li>Wealth Management / Investment Domain Experience</li>
</ul>
 Apply Now: [email protected]</div>

Software Engineer – Advent

AGMC

<div>
 
 
 About the Role
 
 
 
 
 
 
 We're looking for an
 
 AI Engineer
 
 who can take ideas from prototype to production &mdash; building scalable AI/ML systems and the data architecture behind them. This is a hands-on role combining strong
 
 software engineering, applied machine learning, Generative AI and data engineering
 
 .
 
 
 The ideal candidate will be responsible for developing practical AI solutions that support business transformation, automation and improved decision-making across AGMC.
 
 
 
 
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Design, build and optimize
 
 ML/DL models and LLM-powered applications
 
 , including Agentic AI, Generative AI and RAG solutions.
 </li>
 <li>
 Build end-to-end AI pipelines covering
 
 training, inference, evaluation and monitoring
 
 .
 </li>
 <li>
 Develop clean, scalable and well-tested backend services and APIs using
 
 FastAPI / Flask
 
 .
 </li>
 <li>
 Design data architecture and manage data storage, primarily using
 
 PostgreSQL
 
 , including schema design, data modelling and performance optimization.
 </li>
 <li>
 Work with large datasets, including data preprocessing, feature engineering and model evaluation.
 </li>
 <li>
 Develop and integrate AI solutions into existing business applications and systems.
 </li>
 <li>
 Monitor AI/ML models in production and continuously improve
 
 accuracy, latency, reliability and scalability
 
 .
 </li>
 <li>
 Develop proof-of-concepts and take successful AI solutions through to production.
 </li>
 <li>
 Collaborate with
 
 IT, Digital, Product, Data and business teams
 
 to identify and deliver AI use cases.
 </li>
 <li>
 Ensure AI solutions follow appropriate
 
 security, privacy, governance and responsible AI practices
 
 .
 </li>
 <li>
 Stay up to date with emerging AI technologies and identify opportunities to apply them within AGMC.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 <ul>
 <li>
 Strong
 
 Python
 
 skills and solid software engineering fundamentals, including clean code, testing and Git.
 </li>
 <li>
 Hands-on experience with
 
 PyTorch and/or TensorFlow
 
 .
 </li>
 <li>
 Practical experience with
 
 Agentic AI, Generative AI, LLMs and RAG
 
 .
 </li>
 <li>
 Experience with LLM frameworks and tooling such as
 
 LangChain and/or LlamaIndex
 
 .
 </li>
 <li>
 Strong data architecture and database skills, particularly
 
 PostgreSQL
 
 .
 </li>
 <li>
 Familiarity with
 
 vector databases
 
 such as Pinecone, Weaviate or FAISS.
 </li>
 <li>
 Experience with cloud platforms such as
 
 AWS, Microsoft Azure or Google Cloud Platform
 
 .
 </li>
 <li>
 Understanding of
 
 MLOps
 
 and production deployment, including Docker, Kubernetes, CI/CD and MLflow.
 </li>
 <li>
 Experience developing and consuming
 
 REST APIs
 
 .
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Clear communicator with the ability to work independently and take ownership of projects from concept through to production.
 </li>
 <li>
 Experience working in an
 
 Agile / collaborative environment
 
 .
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in
 
 Computer Science, Artificial Intelligence, Data Science, Software Engineering or a related field
 
 .
 </li>
 <li>
 Maximum 2 years experience deploying AI applications at scale within an enterprise environment.
 </li>
 <li>
 Strong
 
 prompt engineering
 
 skills and understanding of AI safety and responsible AI.
 </li>
 <li>
 Experience with AI agents and multi-agent architectures.
 </li>
 <li>
 Exposure to
 
 reinforcement learning or multimodal AI
 
 .
 </li>
 <li>
 Experience working with
 
 automotive, retail, mobility or other customer-focused industries
 
 would be an advantage.
 </li>
 <li>
 Experience taking AI solutions from
 
 proof-of-concept to production
 
 .
 </li>
 </ul>
 
 
 
 
 
 Tools &amp; Technologies
 
 
 
 
 Python &middot; FastAPI / Flask &middot; PyTorch / TensorFlow &middot; PostgreSQL &middot; SQL &middot; LangChain / LlamaIndex &middot; RAG &middot; Vector Databases &middot; Docker &middot; Kubernetes &middot; Git &middot; AWS &middot; Azure &middot; GCP &middot; MLflow &middot; CI/CD
 
 
</div>

Artificial Intelligence Engineer

Al-Futtaim

<div>Job Requisition ID: 180300
Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A&rdquo;rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day. 

Overview Of The Role: 
<ul>
<li>The Data Protection Engineer is responsible for managing and safeguarding data protection platforms across Cloud and On-Premises environments. This role involves overseeing backup operations globally, ensuring compliance with regulatory requirements, and collaborating with vendors to maintain the latest technology solutions. The engineer will drive the standardization, modernization, and life cycle management of backup systems to support business continuity and operational efficiency.</li></ul> 
 
What You Will Do:
<h4 class="jobSectionHeader">
Data Protection Platform Management</h4>
<ul><li>Design, implement, and manage backup and recovery solutions ensuring compliance with data protection standards.</li>
<li>Engage with vendors to conduct periodic health checks of the platform and implement best practice recommendations.</li>
<li>Modernize cloud backup platforms to extend data protection coverage to modern workloads.</li>
<li>Standardize backup solutions across regions to improve operational efficiency and reduce reliance on business users for tape management.</li>
<li>Manage the full life cycle of the NetBackup platform, including hardware and software.</li>
<li>Prepare plans to upgrade master and media servers to the latest version ensuring seamless transitions.</li>
</ul><h4 class="jobSectionHeader">Data Protection Operations &amp; Administration</h4>
<ul><li>Ensure overall availability, performance, security, and business continuity of the data protection platform.</li>
<li>Engage with application stakeholders to define and enforce backup retention policies according to business, legal, and regulatory requirements.</li>
<li>Review backed-up data with application owners periodically, adjusting SLP as necessary.</li>
<li>Produce backup reports, assess system success or failure, and implement corrective actions as needed.</li>
</ul><h4 class="jobSectionHeader">Data Life Cycle Management</h4>
<ul><li>Manage life cycle of backed-up data from retention to expiry and conduct regular reviews of expired and orphan images to optimize storage.</li>
<li>Ensure long-term retention backups are migrated to archival storage in the Cloud, and On-Prem tapes are securely vaulted offsite.</li>
<li>Maintain detailed records of retired media and oversee their secure disposal in compliance with Data Disposal Policy.</li>
</ul><h4 class="jobSectionHeader">Backup Testing and Restoration</h4>
<ul><li>Perform periodic tests to verify backup data integrity and reliability.</li>
<li>Verify processes meet defined Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO), correcting discrepancies if identified.</li>
<li>Responsible for data recovery in cases of failure or disaster, ensuring quick restoration.</li>
<li>Document and practice steps required for restoring data from backups.</li>
</ul><h4 class="jobSectionHeader">Continuous Monitoring and Improvement</h4>
<ul><li>Monitor effectiveness of backup solutions and adjust lifecycle policies as necessary.</li>
<li>Track storage consumption and backup storage growth ensuring adequate capacity availability.</li>
</ul><h4 class="jobSectionHeader">Security &amp; Compliance</h4>
<ul><li>Secure the backup platforms and hardware appliances by applying the latest security patches and implementing mitigation measures to minimize risks.</li>
<li>Implement end-to-end encryption of backup data during storage and retrieval.</li>
<li>Ensure all backup data is stored on immutable storage to safeguard against unauthorized modifications and ransomware attacks.</li></ul> 
 
Required Skills To Be Successful:
<ul>
<li>Hands-on experience with backup and recovery of PaaS workloads including Azure SQL Database and other managed services.</li>
<li>Experience with Azure Kubernetes Service (AKS) and containerized applications backup.</li>
<li>Strong understanding of disaster recovery, cyber resilience, backup architecture, and data lifecycle management.</li>
<li>Ability to engage with stakeholders to enforce compliant backup policies based on legal and regulatory requirements.</li></ul> 
 
What Qualifies You For The Role:
<ul>
<li>Bachelor's degree in Computer Science, Information Technology, Computer Engineering or related discipline.</li>
<li>Enterprise backup certification (e.g., Cohesity, Veritas NetBackup, Veeam) and a Microsoft Azure certification (AZ-104 or higher) are required.</li>
<li>Minimum of 5+ years hands-on experience in enterprise backup, recovery, and data protection technologies.</li>
<li>At least 3 years of experience administering enterprise backup solutions such as Cohesity, Veritas NetBackup, or Veeam Software.</li></ul> 
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish. 

Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence. 

As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</div>

Data Protection Engineer

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