Data Reliability Engineer - Intern

We are seeking a Backend Developer with deep expertise in Golang and experience building secure, high-performance distributed systems. The role involves hands-on development of scalable backend services with a strong focus on concurrency, secure networking, caching, and real-time event streaming. You will contribute to designing, building, and optimizing systems deployed on AWS and on-premise infrastructure, ensuring they meet enterprise requirements for scalability, reliability, and security. Key Responsibilities Design and implement backend services in Golang, focusing on concurrency, performance, and reliability. Develop components that integrate WireGuard protocol for secure communication and advanced networking. Build APIs and services for real-time workloads and secure data flows. Use Redis for caching, session management, distributed coordination, and Pub/Sub messaging. Build streaming and data processing pipelines with Kafka to support real-time events and analytics. Deploy and operate services on AWS (EKS, EC2, ElastiCache, MSK) and on-prem Kubernetes clusters. Contribute to infrastructure automation using Terraform, Ansible, and CI/CD pipelines. Implement monitoring and observability with Prometheus, Grafana, and OpenTelemetry. Write clean, maintainable, and testable code with automated unit and integration tests. Conduct performance benchmarking, profiling, and optimization for low-latency, high-throughput systems. Participate in load testing, failover simulations, and incident response improvements. Work closely with Tech Leads, and DevOps engineers to deliver end-to-end solutions. Participate in code reviews, design discussions, and contribute to improving engineering standards. Your Skills and Experience Must-Have Strong proficiency in Golang (concurrency, networking, memory management, performance tuning). Hands-on experience with WireGuard protocol or similar secure networking technologies. Proficiency with Redis (cache strategies, Pub/Sub, clustering). Solid understanding of Kafka (consumer groups, partitions, streaming pipelines). Experience with Kubernetes (EKS, on-prem clusters), containers, and microservices. Strong working knowledge of AWS services (VPC, EC2, IAM, CloudWatch, MSK, ElastiCache). Experience in building high-concurrency systems with focus on throughput and low latency. Familiarity with CI/CD pipelines and infrastructure as code (Terraform, Ansible). Nice-to-Have Knowledge of Linux networking (iptables, nftables, routing). Experience with additional messaging systems (RabbitMQ, NATS). Familiarity with distributed tracing and debugging in large systems. Security-focused development (TLS/mTLS, secrets management, cryptography). Qualifications Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience. 4+ years of backend engineering experience, with at least 2+ years in Golang.

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

Job Description An Automobile Painter is a skilled professional responsible for painting vehicles and ensuring they have a pristine exterior finish. This role is crucial in the automotive repair industry as it not only restores a vehicle's appearance but also protects the bodywork from corrosion and weather-related damage. The job demands meticulous attention to detail, excellent hand-eye coordination, and a thorough understanding of different paint types and their applications. Automotive Painters are required to match colors precisely and apply smooth, even coats, which can significantly affect the vehicle s resale value. Automotive Painters typically work in body shops, dealerships, or may be employed directly by manufacturers. The role requires the ability to work under deadlines, maintain safety standards, and employ various painting techniques to achieve the best results. Continuous learning about new products and technologies is also essential to maintain proficiency in the craft. Responsibilities Prepare vehicle surfaces by cleaning, sanding, and taping appropriate sections. Apply primer or pre-coating solution to ensure optimal paint adhesion. Mix paint colors according to manufacturer specifications and customer preferences. Operate spray-painting equipment or tools to apply paint evenly on vehicle surfaces. Inspect painted surfaces for quality assurance and rectify any inadequacies promptly. Maintain an inventory of painting supplies and reorder stock as necessary. Recognize and follow safety standards and protocols in the automotive paint process. Apply clear coats and sealants to protect painted surfaces against external damages. Clean equipment and maintain a tidy workspace to comply with workshop regulations. Collaborate with team members to meet project timelines and client expectations. Stay updated on new painting techniques and products available in the market. Keep records of work completed and materials used for future reference and billing. Requirements Proven experience as an Automobile Painter in a similar setting or capacity. Comprehensive knowledge of automotive painting techniques and equipment use. Detail-oriented with a strong eye for color matching and finish quality. Familiarity with painting safety procedures and MSDS for handling materials. Ability to work independently and manage time effectively under strict deadlines. Good physical condition and the capability to stand for extended periods. Vocational training or apprenticeship in automotive painting is highly desirable.

We are looking for a focused data entry clerk to continuously update our company's databases. The data entry clerk will liaise with and follow up with employees within the company as well as with customers to collect information. Data Entry Clerk Responsibilities: Gathering invoices, statements, reports, personal details, documents and information from employees, other departments and clients. Scanning through information to identify pertinent information. Correcting errors and organizing the information in a manner that will optimize swift and accurate capturing. Creating accurate spreadsheets. Entering and updating information into relevant databases. Ensuring data is backed up. Send CV to WhatsApp : 0504309181

Job Content Technology Engineering Experienced in DevOps methodologies. Sound infrastructure and security knowledge Clear internal and external communication, improving transparency across teams and stakeholders. Automate deployment and configuration management tasks to ensure consistent and scalable environments. Troubleshoot and resolve infrastructure and application issues in collaboration with development and operations teams. Implement and manage CI/CD pipelines for deployments on Container Technologies like Native Kubernetes, OpenShift or Public Cloud like Microsoft Azure/AWS/OCI. Sound Knowledge on Micro Service Authentication and Authorization process. Collaborate with cross-functional teams to design, deploy, and manage different environments using Terraform, Ansible, and other IaC tools. Sound Knowledge on Public Cloud providers like Microsoft Azure/AWS/OCI. Strong understanding of GitHub Actions or Jenkins-based Continuous Integration / Continuous Deployment/Delivery (CICD) with automation using Shared Library, Pipeline Code, Groovy or Python scripting. Understanding of GitOps tool like Argo CD. Strong understanding on logging and monitoring solutions like ELK, Prometheus and Grafana Python programming experience preferred. Delivery Experience Ability to work on projects from inception to delivery exhibiting our core values - Collaboration, Ownership, Drive and Enterprising. Cross skills in delivery but also operational support as per new DevOps methodologies Comprehensive understanding of DevOps / SRE, IaC and 12 Factor application principles Ability to work under pressure, manage client expectations effectively. Stay up to date with industry best practices and emerging technologies. Requirements Education Bachelor or Equivalent Degree 5+ years total engineering or operational experience Experiences At least 3+ years of relevant experience in a similar role. Experience within large and complex global enterprises defined by high availability, transaction rates, and geographical distribution. Banking sector experience Knowledge & Skills Technical/Functional:   Automated build/deployment pipelines (Jenkins, GitHub Actions, ArgoCD) for Python based projects. Automation using tools like Ansible. Containerization (Docker or Podman) Python programming experience required. Data or Machine learning CI/CD pipelines Linux OS including shell scripting. Container management (Kubernetes/OpenShift) Helm based pipelines. Automating security/regulatory checks Automated patching Production support (typically done on rotation) Agile engineering and practices Networking fundamentals Security engineering practice and tools   Nice to have:   Public Cloud experience (Azure, OCI, AWS) Machine Learning projects Behavioral Competencies Collaboration Self-starter with strong initiative Calm under pressure Pragmatic but focused Willing to learn new technologies. Good communication and articulation skills

Roles & Responsibilities Expertly measure clients, ensuring precise fittings for various garments, considering body shapes and style preferences. Skillfully cut and sew fabric, creating custom-made clothing and alterations with meticulous attention to detail and design. Accurately interpret design specifications, patterns, and client instructions to produce high-quality garments. Conduct fittings with clients to make necessary adjustments, guaranteeing a perfect fit and client satisfaction. Advise clients on fabric selection, style choices, and garment construction, offering professional recommendations. Manage and maintain sewing equipment and workspace, ensuring cleanliness and optimal functionality. Collaborate with designers and other team members to execute design concepts and meet deadlines effectively. Handle customer inquiries, provide excellent customer service, and resolve any issues related to tailoring services. Stay updated on current fashion trends and tailoring techniques, continuously improving skills and knowledge. Manage time effectively to complete projects within agreed-upon timelines, delivering high-quality results. Desired Candidate Profile Possesses a High School Diploma or equivalent; vocational training in tailoring is highly advantageous.