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<strong>This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Warehouse Engineer based in United Arab Emirates.<br><br></strong>This role offers the opportunity to shape the data infrastructure supporting a high-growth technology platform focused on online security and fraud detection. You will design and optimize scalable data warehouses, reliable pipelines, and modern ELT processes that enable analytics and data-driven decision-making. Working closely with data scientists, analysts, and engineers, you will transform complex data into trusted and actionable insights. The position combines hands-on engineering with opportunities to improve performance, reliability, cost efficiency, and developer productivity. You will work with modern cloud technologies including ClickHouse, Redshift, AWS, Kafka, dbt, and Prefect. This is a strong opportunity for an autonomous data engineer who enjoys solving complex problems in a globally distributed, fully remote environment.<br><br><strong>Accountabilities<br><br></strong><ul><li>Architect, build, and maintain scalable, high-performance data warehouse solutions that support analytics and operational needs.</li><li>Develop reliable, well-documented data pipelines and ELT processes while maintaining strong standards for data quality and consistency.</li><li>Optimize data warehouse performance through query optimization, partitioning, indexing, and other performance-tuning techniques.</li><li>Partner with data analysts and data scientists to transform raw data into actionable analytics and support machine learning initiatives.</li><li>Monitor, troubleshoot, and continuously improve data warehouse infrastructure while balancing performance, reliability, and cost efficiency.</li><li>Establish and promote best practices for clean, well-structured, reliable, and accessible data.</li><li>Work with modern cloud-based data warehouses such as ClickHouse and integrate data platforms with other cloud services.</li><li>Contribute to developer-facing data tools and solutions that empower engineering and other technical teams.</li><li>Support data transformation and modeling initiatives using tools such as dbt and SQL.</li><li>Contribute to automation, testing, version control, code reviews, and other software engineering practices across data systems.</li><li>Help improve the scalability, maintainability, and operational efficiency of the overall data platform.<br><br></li></ul><strong>Requirements<br><br></strong><ul><li>Extensive professional experience designing, implementing, and optimizing data warehouses in cloud environments such as AWS or GCP.</li><li>Strong hands-on expertise with data modeling and transformation tools, particularly dbt.</li><li>Excellent SQL skills and experience with modern columnar or cloud data warehouse technologies such as ClickHouse, Databricks, BigQuery, Snowflake, or Redshift.</li><li>Experience developing and managing data pipelines using orchestration tools such as Prefect or Airflow.</li><li>Solid understanding of data engineering principles, warehouse architecture, transformation, and data quality.</li><li>Strong software engineering fundamentals, including version control, code reviews, testing, automation, and maintainable development practices.</li><li>Experience working collaboratively with data scientists, analysts, engineers, and other cross-functional stakeholders.</li><li>Strong English communication skills for effective collaboration within a globally distributed remote team.</li><li>High degree of ownership, autonomy, and accountability, with the ability to work effectively in ambiguous environments.</li><li>Strong analytical and problem-solving skills, with a practical approach to troubleshooting and performance optimization.</li><li>Familiarity with business intelligence and visualization tools such as Apache Superset, Sigma, Tableau, or Looker is a plus.</li><li>Experience with infrastructure-as-code tools such as Terraform and a DevOps-oriented mindset is desirable.</li><li>Scripting or automation experience with Bash, Python, or Go is an advantage.</li><li>Experience with technologies such as Kafka, AWS, Terraform, and modern data visualization platforms is beneficial.<br><br></li></ul><strong>Benefits<br><br></strong><ul><li>Fully remote work arrangement within eligible hiring locations.</li><li>Opportunity to work on large-scale data infrastructure supporting a technology platform focused on online security and fraud detection.</li><li>Exposure to a modern technology stack including ClickHouse, Redshift, Confluent Kafka, dbt, Prefect, AWS, Terraform, Apache Superset, and Sigma.</li><li>Opportunity to collaborate with data scientists, analysts, engineers, and globally distributed technical teams.</li><li>High level of ownership and autonomy in a data engineering environment.</li><li>Opportunity to contribute to developer-facing tools and scalable data platform initiatives.</li><li>US-based compensation range of $152,000–$205,000; compensation may vary by hiring location and is not directly applicable to all locations.</li><li>Fully remote international environment with team members distributed across multiple countries and time zones.</li><li>Visa sponsorship is not provided; candidates must be authorized to work from their home location.</li><li>Specific India-based salary, healthcare, retirement, paid time off, and other benefits were not specified in the source description.<br><br></li></ul><strong>How Jobgether Works<br><br></strong>We use an <strong>AI-powered matching process</strong> to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br><strong>Data Privacy Notice:</strong> By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.<br><br>

<ul><li><p><strong><br>Strategic Contribution</strong></p><br><ul><li><p>Develops and drives EGA’s global data protection strategy in alignment with corporate objectives, with particular focus on building a scalable privacy framework that supports the Group’s growth.</p></li><li><p>Promotes a culture of privacy awareness and accountability across all EGA Group entities.</p></li><li><p>Provides strategic counsel to EGA on privacy risks, regulatory developments and data protection compliance matters</p></li></ul><p><strong>&nbsp;</strong></p><p><strong>Leadership</strong></p><ul><li><p>Manages the Group’s privacy risk profile across all entities, aligning risk management with EGA’s strategic objectives.</p></li><li><p>Leads the response to data breaches and privacy incidents, coordinating with relevant business functions and regulators, and providing updates to executive leadership and the Board as required.</p></li><li><p>Serves as the primary point of contact for data protection authorities, regulators and data subjects across all relevant jurisdictions.</p></li><li><p>Acts as the escalation point for privacy complaints and complex enquiries.</p></li><li><p>Establishes and coordinates a network of data protection coordinators across Group subsidiaries to ensure consistent implementation of privacy standards.</p></li></ul><p><strong>&nbsp;</strong></p><p><strong>Privacy Programme</strong></p><ul><li><p>Develops, implements and maintains data protection policies, standards and procedures across the EGA Group, ensuring they remain current with legal, regulatory and organisational requirements.</p></li><li><p>Evaluates and enhances the data protection framework across all Group entities, identifying compliance gaps and driving remediation</p></li><li><p>Establishes and oversees the privacy governance framework, including data mapping, records of processing activities, and third-party vendor assessments.</p></li><li><p>Monitors regulatory developments across all relevant jurisdictions, identifying areas requiring attention and advising on necessary adaptations.</p></li><li><p>Provides pragmatic, commercially focused privacy advice to business units, legal and commercial teams, including guidance on privacy and security provisions in contracts and vendor agreements.</p></li><li><p>Manages data subject rights requests and privacy-related enquiries.</p></li><li><p>Leads data protection impact assessments and privacy risk assessments, advising on identified risks and appropriate mitigations.</p></li></ul><p><strong>&nbsp;</strong></p><p><strong>New Entity Integration</strong></p><br><ul><li><p>Leads privacy due diligence for new ventures, acquisitions and joint ventures, identifying data protection risks, compliance gaps and integration requirements.</p></li><li><p>Develops and implements privacy integration plans for new entities joining the Group, ensuring alignment with EGA data protection standards and timely remediation of compliance gaps.</p></li><li><p>Advises on data transfer and data sharing arrangements, including cross-border transfers and transitional services agreements.</p></li><li><p>Collaborates with Corporate Development, Legal and Digital Transformation teams to embed privacy considerations into strategic initiatives.</p></li></ul><p><strong>&nbsp;</strong></p><p><strong>Responsible AI Oversight</strong></p><br><ul><li><p>Provides advisory oversight on the ethical, legal and operational risks associated with artificial intelligence (AI) systems deployed or developed by the EGA Group.</p></li><li><p>Advises on responsible AI principles including transparency, fairness, accountability, bias detection and human oversight requirements.</p></li><li><p>Collaborates with Digital Transformation, IT and relevant business teams to embed responsible AI principles into AI development and deployment processes.</p></li><li><p>Monitors developments in AI regulation globally, including the EU AI Act, advising leadership on compliance implications and organisational readiness</p></li></ul><br><p><strong>Training and Awareness</strong></p><br><ul><li><p>Briefs leadership and the Board’s Audit and Risk Committee on privacy developments, regulatory changes and emerging risks.</p></li><li><p>Develops and delivers privacy training programmes, workshops and guidance materials tailored to different audiences across the organisation</p></li></ul><p><strong>External Advisers and Budget</strong></p><ul><li><p>Manages relationships with external counsel, consultants and service providers, ensuring quality, timeliness and value for money.</p></li><li><p>Manages the privacy function’s budget, maximising efficiency while maintaining quality of advice and service.</p></li></ul><br><p><strong>Professional Development</strong></p><br><ul><li><p>Maintains current knowledge of global privacy legislation, regulatory guidance and industry best practices.</p></li><li><p>Pursues relevant professional development and maintains any required professional certifications.</p></li></ul><br><p><strong>External Profile and Thought Leadership</strong></p><ul><li><p>Builds and promotes EGA’s reputation for privacy excellence, both internally and externally.</p></li><li><p>Contributes to thought leadership through industry forums, publications and professional networks.</p></li></ul><br><p><strong>Stakeholder Management</strong></p><ul><li><p>Builds strong working relationships with executive leadership, senior management and key stakeholders across business functions to drive the privacy programme.</p></li><li><p>Represents EGA in regulatory engagements and maintains relationships with data protection authorities.</p></li></ul><br><p><strong><u>AUTHORITY / DECISION MAKING</u></strong></p><br><ul><li><p>Operates with a high degree of independence while keeping the General Counsel and Head of Ethics & Business Integrity informed on material and strategic matters.</p></li><li><p>Exercises financial authority in accordance with EGA’s Delegation of Authority.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p><strong>Education and Qualifications:</strong></p><ul><li><p>Degree in law, information technology, business or a related discipline.</p></li><li><p>Professional certification in data protection (e.g., IAPP CIPP/E, CIPP/US, CIPM, CIPT) strongly preferred.</p></li></ul><p><strong>Experience:</strong></p><ul><li><p>7-10 years’ experience in data protection or privacy roles, including senior-level experience leading a privacy programme within a multinational organisation operating across multiple jurisdictions.</p></li><li><p>Proven track record of managing data breach response and regulatory engagement.</p></li><li><p>Experience supporting M&A transactions, including privacy due diligence and post-acquisition compliance integration.</p></li><li><p>Experience influencing senior stakeholders and building cross-functional relationships to drive privacy initiatives.</p></li><li><p>Expert knowledge of global data protection legislation, including data protection laws in the UAE, EU, and US.</p></li><li><p>Extensive knowledge of AI governance principles and the data protection implications of AI systems, including the EU AI Act and emerging AI regulatory frameworks</p></li></ul><p><strong>Skills and Competencies:</strong></p><ul><li><p>Strong strategic thinking and the ability to translate privacy requirements into practical business solutions.</p></li><li><p>Proven ability to build and scale privacy programmes across multiple jurisdictions and business units.</p></li><li><p>Ability to handle sensitive and confidential matters with discretion and sound judgment.</p></li><li><p>Ability to distil complex privacy issues into clear, actionable advice for non-specialist audiences.</p></li><li><p>Strong commercial acumen with the ability to provide pragmatic, risk-based advice.</p></li><li><p>Excellent written and verbal communication skills in English, with the ability to engage effectively at Board and executive level.</p></li><li><p>Strong understanding of information technology, data architecture and information security principles.</p></li><li><p>Self-directed with the ability to exercise independent judgment and drive change across a large organisation.</p></li><li><p>Cultural awareness and the ability to operate effectively across diverse geographies and time zones</p></li></ul></li></ul>

<strong>JOB PROFILE ASSISTANT BOUTIQUE MANAGER<br><br></strong><strong><strong>ABOUT A. LANGE &amp; SÖHNE<br><br></strong></strong><strong>Since the legend's reincarnation in 1994, A. Lange &amp; Söhne has been one of the most respected</strong> and successful watch brands in the luxury sector. Our whole aim is to continue our tradition with new, outstanding products, very much in keeping with Lange's claim: State-of-the-art tradition. What we expect from our watches, we expect from us: Never stand still.<br><br><strong>PURPOSE<br><br></strong>Managing day-to-day boutique operations, transforming corporate objectives into operational goals at a boutique level. Being the brand ambassador to reflect brand image to boutique customers. Attain desired results through creative and effective use of resources, retail and CRM tools. Prepare business analysis and action plans to achieve sales targets. Assist the boutique manager in his/her role.<br><br><strong><strong>Job Description<br><br></strong></strong><strong>Assistant Boutique Manager – Private Appointment Boutique<br><br></strong><strong>Location:</strong> Mall of the Emirates, Dubai, UAE<br><br><strong><strong>Position Summary<br><br></strong></strong>The Assistant Boutique Manager is responsible for supporting the Boutique Manager in leading an exclusive, appointment-only boutique that delivers an exceptional level of luxury client experience.<br><br>Unlike a traditional retail boutique, this location operates primarily through scheduled appointments, VIP clienteling and bespoke experiences. The Assistant Boutique Manager plays a critical role in ensuring every appointment is flawlessly executed, relationships with High Net Worth Individuals (HNWIs) are nurtured, and commercial objectives are achieved through personalized client engagement rather than walk-in traffic.<br><br>The role requires an experienced luxury retail professional with strong clienteling capabilities, excellent operational discipline, and a passion for creating memorable experiences.<br><br><strong><strong>Key Responsibilities<br><br></strong></strong><strong>Boutique Operations<br><br></strong><ul><li>Support the Boutique Manager in the day-to-day management of the boutique.</li><li>Ensure the boutique consistently reflects the highest standards of luxury presentation.</li><li>Maintain operational excellence across all boutique activities.</li><li>Ensure all security and brand procedures are strictly followed.</li><li>Supervise boutique opening and closing procedures.</li><li>Monitor inventory accuracy and coordinate stock movements.<br><br></li></ul><strong><strong>Appointment Experience<br><br></strong></strong>Manage the complete client journey before, during and after each appointment.<br><br><strong>Responsibilities Include:<br><br></strong><ul><li>Prepare personalized appointments based on each client’s profile.</li><li>Coordinate product selection prior to client arrival.</li><li>Ensure boutique readiness before every appointment.</li><li>Deliver an exceptional hospitality experience.</li><li>Follow up with clients after each visit.</li><li>Record all interactions within the CRM system.<br><br></li></ul>The objective is to create an experience that exceeds expectations rather than simply conducting a sales presentation.<br><br><strong>Client Development<br><br></strong>Develop long-term relationships with collectors and VIP clients.<br><br><strong>Responsibilities Include:<br><br></strong><ul><li>Build and maintain an active portfolio of clients.</li><li>Proactively contact existing clients.</li><li>Identify opportunities for repeat business.</li><li>Develop referral opportunities.</li><li>Invite clients to exclusive events and launches.</li><li>Partner with Marketing and CRM teams on client activation initiatives.</li><li>Achieve individual clienteling KPIs.<br><br></li></ul><strong>Sales Performance<br><br></strong><strong>Support Achievement Of Boutique Commercial Objectives Through:<br><br></strong><ul><li>Appointment conversion</li><li>Sales targets</li><li>Average transaction value</li><li>Cross-selling opportunities</li><li>Client retention</li><li>Repeat purchase rate<br><br></li></ul><strong>Boutique Leadership<br><br></strong><ul><li>Lead the boutique in the absence of the Boutique Manager.</li><li>Coach Boutique Advisors on luxury selling techniques.</li><li>Support recruitment and onboarding.</li><li>Provide daily performance feedback.</li><li>Foster a collaborative and high-performance culture.<br><br></li></ul><strong>CRM Excellence<br><br></strong>The Assistant Boutique Manager is expected to be highly proficient in CRM management.<br><br><strong>Responsibilities Include:<br><br></strong><ul><li>Maintain accurate client records.</li><li>Track client preferences.</li><li>Record purchase history.</li><li>Schedule follow-up activities.</li><li>Monitor client anniversaries and important milestones.</li><li>Ensure CRM data quality.<br><br></li></ul><strong>Event Support<br><br></strong><strong>Support The Execution Of:<br><br></strong><ul><li>Private appointments</li><li>Watch launches</li><li>Collector evenings</li><li>Boutique activations</li><li>VIP events</li><li>Partner collaborations<br><br></li></ul><strong>Operational Excellence<br><br></strong><strong>Ensure Compliance With:<br><br></strong><ul><li>Brand standards</li><li>Audit requirements</li><li>Security procedures</li><li>Cash handling</li><li>Inventory controls</li><li>Health &amp; Safety requirements<br><br></li></ul><strong>Key Performance Indicators (KPIs)<br><br></strong><strong>Commercial<br><br></strong><ul><li>Sales achievement (%) for boutique and per retail team member.</li><li>Appointment conversion rate</li><li>Average transaction value</li><li>Units sold</li><li>Sales per appointment<br><br></li></ul><strong><strong>Client Experience<br><br></strong></strong><ul><li>Appointment satisfaction</li><li>Client retention</li><li>Repeat purchase rate</li><li>CRM completion rate</li><li>Net Promoter Score (NPS)<br><br></li></ul><strong>Clienteling<br><br></strong><ul><li>Number of appointments conducted</li><li>New clients acquired</li><li>Existing clients reactivated</li><li>Follow-up completion rate</li><li>Client outreach activities<br><br></li></ul><strong>Operations<br><br></strong><ul><li>Inventory accuracy</li><li>Audit compliance</li><li>Mystery shopping results</li><li>Boutique presentation standards<br><br></li></ul><strong><strong>Qualifications<br><br></strong></strong><ul><li>Bachelor’s degree preferred.</li><li>Minimum 5–8 years of luxury retail experience.</li><li>Minimum 2–3 years in a supervisory or Assistant Boutique Manager position.</li><li>Experience within luxury watches, jewelry or other luxury retail sectors is highly preferred.<br><br></li></ul><strong><strong>Skills &amp; Competencies<br><br></strong></strong><strong>Client Excellence<br><br></strong><ul><li>Exceptional relationship-building skills</li><li>Luxury hospitality mindset</li><li>Emotional intelligence</li><li>Professional etiquette</li><li>Active listening<br><br></li></ul><strong>Commercial<br><br></strong><ul><li>Strong sales acumen</li><li>Negotiation skills</li><li>Results-oriented mindset</li><li>Business awareness</li><li>Analytical thinking<br><br></li></ul><strong>Leadership<br><br></strong><ul><li>Coaching capability</li><li>Team motivation</li><li>Performance management</li><li>Decision making</li><li>Accountability<br><br></li></ul><strong>Personal Attributes<br><br></strong><ul><li>Impeccable presentation</li><li>Highly organized</li><li>Detail-oriented</li><li>Proactive</li><li>Discreet and trustworthy</li><li>Calm under pressure</li><li>Passion for fine watchmaking and luxury craftsmanship<br><br></li></ul><strong>Success Profile<br><br></strong>The ideal candidate is an experienced luxury retail professional who thrives in a highly personalized environment. Rather than focusing on walk-in traffic, they excel at cultivating lasting relationships with collectors and discerning clients, anticipating their needs, and delivering bespoke experiences that strengthen brand loyalty and drive repeat business. They combine strong commercial instincts with operational discipline and naturally represent the Maison with sophistication, discretion, and professionalism.<br><br><strong><strong>What Makes This Role Different<br><br></strong></strong>This is <strong>not a conventional Assistant Boutique Manager role</strong>. Success is measured less by managing footfall and more by creating meaningful one-to-one relationships. The Assistant Boutique Manager is expected to:<br><br><ul><li>Curate exceptional appointment-based experiences.</li><li>Act as a trusted advisor to collectors and high-net-worth clients.</li><li>Use CRM proactively to build a sustainable pipeline of appointments and repeat business.</li><li>Collaborate closely with the Boutique Manager to position the boutique as a destination for exclusive, high-touch luxury experiences.</li><li>Continuously identify opportunities to elevate the client journey and reinforce the boutique’s unique, appointment-only concept.</li></ul>

Role Description The Cashier role at Hinza is a full-time, on-site position based in the Dallas-Fort Worth Metroplex. The Cashier is responsible for handling customer transactions accurately, processing payments, issuing receipts, and maintaining a balanced cash drawer. Day-to-day tasks include greeting customers, answering basic questions about services or purchases, and ensuring a smooth and efficient checkout experience. The role also involves monitoring the point-of-sale area, keeping the workspace organized, and following company procedures for cash handling and transaction security. The Cashier collaborates with other team members to support excellent customer service and efficient front-desk operations. Qualifications Strong cash-handling skills, including accurate payment processing and reconciliation of cash drawers. Experience with point-of-sale (POS) systems, basic computer operations, and digital payment methods. Effective communication and customer service skills, with the ability to assist customers in a professional and friendly manner. Attention to detail and reliability, including following transaction procedures and maintaining organized work areas. Ability to work on-site full time in the Dallas-Fort Worth Metroplex and collaborate with a multidisciplinary team. Basic math skills and comfort working in a fast-paced environment; prior cashier or retail experience is beneficial. High school diploma or equivalent preferred; willingness to learn company systems and adhere to policies and guidelines.

We are looking for a hands-on AI Engineer to join a forward-thinking organisation and build the next generation of AI-powered applications.<br>This is an engineering-led role for someone who can take AI solutions from prototype through to production, working with LLMs, Generative AI and agentic workflows to build scalable, reliable applications.<br>What you’ll be doing:• Design, build and deploy end-to-end AI applications• Build on foundation models to develop intelligent agent workflows• Work hands-on with LLM APIs, prompting, tool calling and RAG• Integrate AI capabilities into existing products and backend services• Use AI coding agents while maintaining ownership of architecture, security and code quality• Develop evaluation, testing and monitoring frameworks across quality, safety, latency and cost• Evaluate emerging AI technologies and support build-vs-buy decisions• Work closely with technical and non-technical stakeholders<br>What we’re looking for:• 3+ years of Software Engineering experience• Proven experience building and deploying AI/ML applications into production• Hands-on experience with LLMs and Generative AI• Strong understanding of RAG, prompting and tool/function calling• Solid understanding of Machine Learning fundamentals• Strong written and spoken English<br>We are particularly interested in engineers who have gone beyond experimentation and can demonstrate real-world, production AI applications.

External Job Description<br><br>MAJOR DUTIES AND RESPONSIBILITIES<br><br> Provide annual supply forecasting requirements for the Annual Service Plan (ASP). Provide analysis of due—ins from OEMS, vendors, balance on hand and store level repairable for assigned equipment systems. Coordinate with the Technical Supply Department and Technical Planning Department to provide advice on required platform stock levels and assessment reports of balance on hand. Review inventory data and advise the Technical Supply Department of optimal line item stock levels for the main stores. Facilitate the establishment of safety and reserve levels for line items critical to ensure operational readiness for all required equipment systems. Coordinate with Technical Planning Department on the status of spares and maintenance trends for the assigned platforms. Facilitate maintenance of the spares master data record in the computer system and coordinate all aspects of demand analysis in support of the units for the assigned platforms. Advise the Technical Supply Department on the status of spares and maintenance trends for the assigned platforms whenever required. Facilitate the requisition of authorised supplies by the Technical Supply Department for equipment system support. Apply continuous improvement and LEAN management principles. Ensure all issued tools, test equipment and high value property is maintained in a serviceable condition routinely inventoried and safeguarded. Support other members of the material section in fulfilling their roles. Maintain the confidentiality and security of all company documents. Perform other duties as required by the Material Manager.

Location: Abu Dhabi Duration: Yearly renewable contract Role: Senior individual-contributor role leading technical direction and architecture for production AI systems and backend platforms within an AI Factory.<br>Key Responsibilities:Lead AI architecture, system design, and technical strategy across teams. Design production AI systems including RAG, agents, model evaluation, inference and serving. Build/scaling backend platforms, APIs, event-driven systems, Postgre SQL, Kubernetes and Azure infrastructure. Provide hands-on technical leadership and review/write critical code. Mentor senior/staff engineers and raise engineering standards. <br>Must-Have Skills:12+ years software engineering experience at Staff/Principal level. Expert Python; working knowledge of Go/Rust/Java/Kotlin. Strong production AI/LLM, RAG, agents, evaluation and inference experience. Distributed systems and event-driven architecture (Kafka/Azure Service Bus/Event Hubs). Postgre SQL at scale, Docker & Kubernetes. Strong Azure cloud experience: AWS/GCP is a plus. Experience with AI coding agents such as Codex/Claude Code/Open Code. Strong architecture, communication, and technical leadership skills. <br>Preferred:Lang Graph/Lang Chain, v LLM/TGI/Tensor RT-LLM, vector DBs (pgvector/Qdrant/Pinecone), Redis, Elasticsearch/Open Search, AI platform engineering, security/compliance, Arabic/voice AI, and government/regulated-sector experience

<ul><li><p>Develop robust full-stack applications and APIs using modern interfaces and event-drive and api-first backend services</p></li><li><p>Build reusable components and libraries using modern frameworks</p></li><li><p>Build cloud-native applications leveraging Microsoft Azure or other major cloud services</p></li><li><p>Optimize application frontend and backend for usability, performance, scalability, and security.</p></li><li><p>Implement data protection measures, authentication protocols, and security best practices</p></li><li><p>Collaborate with UI/UX designers, backend engineers, and product managers on refining features</p></li><li><p>Collaborate with Data Scientist and Data Engineers to improve the Data Quality and Insights.</p></li><li><p>Write unit, integration, and end-to-end tests to maintain code quality and reliability</p></li><li><p>Stay updated with industry trends, tools, and best practices</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5+ years of experience in Product development, preferrable AI Products</p><ul><li><p>Strong expertise in full-stack on Backend and/or Frontend development</p></li><li><p>Experience with modern technologies like Python, Rust Golang, React, Angular, Vue.js, or similar</p></li><li><p>Skilled in designing and integrating secure, production-grade APIs, including API versioning, observability (monitoring, tracing, logging and implementing modern authentication mechanism</p></li><li><p>Hands-on experience with containerization and orchestration (Docker, Kubernetes)</p></li><li><p>AI/ ML, GenAI, and agentic frameworks (LangGraph, Microsoft Agent Framework, etc.) experience a bonus</p></li><li><p>Familiarity with CI/CD, version control, and deployment automation</p></li><li><p>Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required</p></li></ul><p>Skills</p><p>Python</p><p>Docker</p><p>AI/ML</p></li></ul>