◾ Job Title: Senior Data Platform / Infrastructure Engineer
📍 Job Location: Riyadh – Saudi Arabia
◾ Company: HiStack Arabia
◾ Department: Data Engineering / Cloud Infrastructure & Platform Engineering
◾ Position Level: Senior Engineering
◾ Joining Preference: Immediate Joiners Preferred
🌟 Essential Qualifications & Technical Requirements
◾ Extensive professional experience in cloud infrastructure architecture, data platform engineering, and production-grade big data environments.
◾ Advanced expertise in Alibaba Cloud services, particularly Container Service for Kubernetes (ACK), Elastic MapReduce (EMR), and Object Storage Service (OSS).
◾ Proven experience architecting, deploying, and managing cloud landing zones, including networking, security frameworks, identity and access management, and infrastructure governance.
◾ Strong hands-on experience in Kubernetes cluster administration, workload orchestration, performance optimization, and production troubleshooting.
◾ Advanced knowledge of Kubernetes storage classes, Helm deployments, LoadBalancer configurations, ingress controllers, and cluster networking.
◾ Practical experience deploying, configuring, and maintaining open-source lakehouse and big data platforms on Kubernetes.
◾ Strong technical expertise in Apache Spark, Apache Kafka, Apache Airflow, Apache Iceberg, Nessie (Iceberg Catalog), and Trino.
◾ Experience designing and implementing scalable batch-processing and real-time streaming data pipelines.
◾ Proven ability to establish hybrid-cloud and multi-cloud connectivity across Alibaba Cloud, Google Cloud Platform (GCP), Microsoft Azure, and on-premises infrastructure.
◾ Proficiency in Infrastructure as Code (IaC), particularly Terraform, for automated cloud infrastructure provisioning and configuration management.
◾ Hands-on experience with GitLab CI/CD, Git-based development workflows, deployment automation, and DevOps practices.
◾ Ability to prepare comprehensive High-Level Design (HLD) and Low-Level Design (LLD) documentation for enterprise data infrastructure.
◾ Experience developing architecture diagrams, infrastructure blueprints, security controls, storage designs, and operational runbooks.
◾ Strong understanding of cloud networking, distributed systems, storage optimization, access controls, and infrastructure security principles.
◾ Ability to diagnose and resolve complex infrastructure issues affecting Kubernetes clusters, distributed workloads, and data platform integrations.
◾ Experience implementing platform monitoring, operational reliability measures, and performance optimization strategies.
◾ Strong analytical thinking, technical problem-solving, architecture design, and engineering decision-making capabilities.
◾ Excellent communication, technical documentation, and cross-functional collaboration skills.
◾ Ability to work independently, manage complex technical priorities, and coordinate with cloud, DevOps, data engineering, and infrastructure teams.
◾ Commitment to engineering excellence, infrastructure scalability, security, automation, and continuous improvement.