Cloud Platform Engineer – Data Reliability, Backing Services

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Mozn

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $10M Series A on 2022-02

Artificial Intelligence • SaaS • Enterprise

Mozn is a regional AI company building Arabic-native generative AI and enterprise AI platforms. It provides OSOS (an Arabic-first GenAI platform), FOCAL (a financial-crime and fraud detection platform), and customized AI solutions spanning language intelligence, risk intelligence, operational AI, data management, geospatial intelligence, and AI centers. Mozn focuses on serving enterprise customers in the MENA region (including healthcare, finance, and government) with SaaS products and tailored AI services that prioritize cultural relevance, data security, and regulatory compliance.

📋 Description

• Own reliability, performance, scalability, and operational health of MySQL, PostgreSQL, MongoDB, Elasticsearch/OpenSearch, Kafka, StarRocks, ClickHouse, and similar platforms • Define best practices for how product engineering teams use transactional, document, search, messaging, and analytical platforms • Design and maintain highly available, scalable, and resilient platform services, including replication, backup, recovery, failover, and disaster recovery capabilities • Perform capacity planning, performance tuning, workload reviews, upgrades, patching, and lifecycle management for platform services • Identify and resolve risks such as slow queries, hot partitions, consumer lag, replication lag, index growth, retention issues, and storage saturation • Troubleshoot and resolve complex production issues related to databases, messaging systems, search platforms, and distributed data platforms • Enable and support Kubernetes-based deployments of database, messaging, search, and analytical platforms using cloud-native patterns and operational best practices • Use automation, Infrastructure as Code, GitOps, and CI/CD to make backing services repeatable, reliable, and easier to operate • Collaborate with Product Engineering, SRE, Security, Data Engineering, and Cloud Platform teams to improve reliability, performance, availability, and security posture

🎯 Requirements

• 4-7 years of experience in Platform Engineering, SRE, Database Reliability Engineering, Data Platform Engineering, DevOps, or related roles • Strong hands-on experience with MySQL, PostgreSQL, Kafka, and at least one of MongoDB or Elasticsearch/OpenSearch in production environments • Experience with analytical or distributed data platforms such as StarRocks, ClickHouse, Apache Doris, Druid, Pinot, or similar OLAP systems is highly desirable • Hands-on experience operating stateful workloads in Kubernetes-based environments • Good understanding of high availability, replication, backup and recovery, disaster recovery, capacity planning, and performance tuning concepts • Familiarity with distributed systems concepts including sharding, replication, partitioning, consistency, compaction, backpressure, consumer lag, and query optimization • Experience with at least one major cloud platform (AWS, GCP, or OCI) • Experience automating provisioning, deployment, configuration, monitoring, and lifecycle management using tools such as Terraform, Helm, Ansible, GitOps, or similar automation frameworks • Strong scripting or programming skills in Python, Bash, Go, or similar • Experience with observability platforms such as LTGM, Prometheus/Grafana, ELK/OpenSearch, Datadog, or equivalent • Strong troubleshooting, problem-solving, and debugging skills across distributed systems • Excellent communication, collaboration, and documentation skills • Demonstrated curiosity, ownership mindset, adaptability, and ability to guide product engineering teams.

🏖️ Benefits

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space • You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best • The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best • You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI • We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves