Cloud Platform Engineer – Data Reliability, Backing Services
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Job Description
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.
Responsibilities:
- 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
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