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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing and optimizing database platforms such as MySQL, PostgreSQL, and Kafka, with a strong focus on high availability, performance tuning, and disaster recovery. Proficient in automation and cloud-native deployments, ensuring operational excellence across distributed systems.

Highest-signal resume keywords

MySQL Database ManagementPostgreSQL Database ManagementKafka Messaging SystemKubernetes-Based DeploymentsInfrastructure as Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Database Reliability EngineeringPerformance TuningCapacity PlanningDisaster RecoveryScripting in PythonScripting in BashAutomation with TerraformObservability with PrometheusAnalytical Platforms like ClickHouseCloud Platform Experience

Soft Skills

Problem-SolvingCommunicationCollaborationDocumentationAdaptability

Tools & Technologies

ElasticsearchOpenSearchGitOpsHelmAnsibleLTGMDatadogTerraformGrafanaApache Doris

Industry Keywords

Platform EngineeringSite Reliability EngineeringData Platform EngineeringDevOpsDistributed Systems

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