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Mozn

Cloud Platform Engineer – Data Reliability, Backing Services

Mozn

Cloud Platform Engineer focused on data reliability and scalable backing services at Mozn. Join a diverse team shaping the future of AI and intelligent enterprises.

Posted 7/6/2026full-timeRemote • 🇪🇬 EgyptMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AnsibleApacheAWSCloudDistributed SystemsElasticSearchGoGoogle Cloud PlatformGrafanaKafkaKubernetesMongoDBMySQLPostgresPrometheusPythonTerraform

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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

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Hard Skills & Tools
Database Reliability EngineeringPerformance TuningCapacity PlanningDisaster RecoveryScripting in PythonScripting in BashAutomation with TerraformObservability with PrometheusAnalytical Platforms like ClickHouseCloud Platform Experience
Soft Skills
Problem-SolvingCommunicationCollaborationDocumentationAdaptability