Senior Technology Engineer -DevOps PaaS (AACOE)

Regarding sales man for auto spare parts in sharjah

We are looking for Salesman cum Drivers for Van Sales for our bakery. Must have Valid UAE Driving License (Manual) Total Salary: AED. 2000-3500 (Including allowances and commission) Additional Benefits: Sharing accommodation, Medical Insurance and Subsidized food.

We are looking for an experienced and motivated Sales Executive to join our team. The ideal candidate will have a strong background in auto spare parts sales, excellent communication skills, and the ability to build long-term relationships with customers. Responsibilities: Promote and sell auto spare parts to new and existing customers. Achieve sales targets and expand customer base. Develop and maintain strong customer relationships. Identify customer needs and recommend suitable products/solutions. Prepare quotations, follow up on orders, and ensure timely deliveries. Collect market information and competitor activity to support business growth. Maintain proper sales records and reports. Requirements: Minimum 2 years of experience in selling auto spare parts (mandatory). Valid UAE driving license (mandatory). Strong knowledge of automotive spare parts (Japanese, American, European brands preferred). Excellent communication and negotiation skills. Ability to work independently and as part of a team. Fluency in English (Arabic or other languages is an advantage).

About Us We are a growing company specializing in wholesale and retail of refurbished laptops and computers. Our mission is to establish our brand as a trusted name in the UAE and international markets through professional online presence and strong digital marketing. Job Responsibilities Product Management & Photography Select laptops from inventory for online listing. Take high-quality, professional photographs of laptops with proper lighting and editing for e-commerce standards. Ensure all images are optimized for Shopify (fast load speed, easy background removal, SEO-ready). E-Commerce & Shopify Management Upload products to Shopify store with accurate descriptions, specifications, and SEO-optimized titles. Maintain inventory listings and update product details regularly. Digital Marketing & Branding Set up and manage Google Merchant Center for product feeds. Run Google Ads campaigns and optimize for sales conversion. Work on SEO (on-page and off-page) to improve search rankings. Manage and grow company presence across social media platforms (Facebook, Instagram, TikTok, LinkedIn, etc.). Create engaging posts, reels, and campaigns to enhance brand recognition. Sales & Growth Strategize and execute campaigns to increase online sales. Analyze performance reports (Shopify analytics, Google Analytics, Ads data) and recommend improvements. Build and implement branding initiatives to establish the company as a recognized brand in refurbished laptops. Requirements Proven experience with Shopify, SEO, Google Merchant Center, and Google Ads. Strong knowledge of digital marketing and social media strategies. Photography skills and ability to create professional e-commerce images. Creativity in content creation and branding. Strong communication skills (English; Arabic is a plus). Preferred Experience in the electronics/computer industry. Familiarity with Shopify apps, TikTok Ads, and WhatsApp Business marketing. Location & Work Arrangement Based in Sharjah/Dubai (must be able to visit store for photography & product handling). Can be full-time or part-time depending on skills and availability.

We are looking for a Senior Technology Engineer to join the our client which is a leading UAE bank. The selected candidate will be responsible for building and maintaining a robust, scalable, and secure Data Science Platform, enabling high-performance data workloads and supporting enterprise-grade analytics and AI use cases. You will work in an Agile + DevOps environment, collaborating with cross-functional squads to implement automation-first, cloud-native, and containerized infrastructure solutions. Key Responsibilities: Platform Engineering & Automation Hands-on Tier-2 production experience with Cloudera platform including installation, upgrade, and maintenance Optimize performance of Spark jobs in collaboration with Data Engineering teams Design and implement CI/CD pipelines for data and analytics projects using tools such as GitHub Actions, Jenkins, or ArgoCD Develop automated workflows using scripting languages (Python, Shell, Groovy) Automate security and compliance checks as per regulatory standards Implement observability tools and performance monitoring practices Infrastructure & Containerization Build and manage containerized environments using Docker or Podman Deploy and manage Kubernetes/OpenShift-based solutions Perform automated patching and lifecycle management of platform components Ensure high availability, scalability, and fault tolerance of the infrastructure DevOps & Agile Delivery Work closely with product squads and stakeholders to translate requirements into deliverable engineering solutions Contribute to backlog grooming, sprint planning, and DevOps cycles Drive platform enhancements from design to delivery in alignment with architectural and security standards Deliver robust, production-ready solutions that minimize operational overhead Collaboration & Stakeholder Engagement: Act as a technology evangelist and collaborate with teams from Security, Architecture, Agile, and Data Chapters Facilitate platform adoption and onboarding of new use cases and data teams Promote reusability, standardization, and simplification across the platform Represent the platform in relevant forums and design reviews Required Skills & Experience: Technical Expertise: Minimum 8+ years of relevant experience in technology engineering roles Minimum 4 years of hands-on Hadoop production experience (preferably with Cloudera) Strong expertise in: Cloudera (installation, maintenance, tuning) CI/CD tools: GitHub Actions, Jenkins, ArgoCD Scripting: Python, Shell, Groovy Linux OS, basic networking, Git Ansible or similar automation frameworks Docker, Podman, Kubernetes, OpenShift Platform observability and monitoring practices Nice to Have: Experience with Data Science platforms/products Public cloud experience (AWS, Azure, or GCP) Experience in the banking or financial services domain Behavioral Competencies: Self-starter with high initiative and ownership Collaborative and able to build trust-based relationships Calm and solution-oriented under pressure Analytical thinker with strong problem-solving skills Passionate about technology, innovation, and continuous improvement Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field Equivalent work experience will also be considered Why Join? Be part of a digital transformation journey for a top-tier bank Work in a fast-paced Agile + DevOps environment Contribute to large-scale data and AI-driven initiatives Opportunity to work with the latest tech stack in Data Engineering & Analytics

We are seeking a Technical Lead from 6 years of experience. Responsibility Lead the design and implementation of distributed backend services in Golang. Define and evolve system architecture for multi-region, highly available deployments across AWS and on-premise infrastructure. Deliver performant APIs and control systems for secure, large-scale connectivity and real-time workloads. Design for high Concurrent User (CCU) loads, focusing on throughput, latency reduction, and horizontal scalability. Leverage Redis for caching, distributed coordination, and Pub/Sub messaging. Use Kafka for scalable event streaming, log aggregation, and operational analytics. Conduct performance tuning, load testing, and fault injection to validate system resilience. Embed strong cryptographic and secure communication practices (key exchange, rotation, encryption in transit and at rest). Collaborate with security stakeholders to align with compliance standards (SOC2, ISO 27001, GDPR). Implement CI/CD pipelines, Infrastructure as Code (Terraform, Ansible), and GitOps workflows. Manage Kubernetes clusters (AWS EKS and on-prem) for containerized workloads, ensuring scalability and high availability. Drive observability with metrics, logs, and traces (Prometheus, Grafana, OpenTelemetry). Requirements Expertise in Golang, including concurrency, networking, and performance profiling. Strong understanding of WireGuard protocol and modern secure networking approaches. Advanced experience with Redis (caching, Pub/Sub, clustering, distributed locks). In-depth knowledge of Kafka (streaming pipelines, consumer group management, schema evolution). Proven experience with Kubernetes (EKS, on-premise clusters) and AWS cloud services (VPC, EC2, IAM, MSK, ElastiCache).