Cloud Platform Engineer – Data Reliability, Backing Services

This is a fully remote position, open to applicants in Egypt.

📋 Description

• Take ownership of the reliability, performance, scalability, and operational integrity of MySQL, PostgreSQL, MongoDB, Elasticsearch/OpenSearch, Kafka, StarRocks, ClickHouse, and similar platforms.

• Establish best practices for the utilization of transactional, document, search, messaging, and analytical platforms by product engineering teams.

• Design and uphold highly available, scalable, and resilient platform services, incorporating replication, backup, recovery, failover, and disaster recovery functionalities.

• Conduct capacity planning, performance tuning, workload assessments, upgrades, patching, and lifecycle management for platform services.

• Detect and mitigate risks including slow queries, hot partitions, consumer lag, replication lag, index growth, retention challenges, and storage saturation.

• Diagnose and resolve complex production issues associated with databases, messaging systems, search platforms, and distributed data platforms.

• Facilitate and support Kubernetes-based deployments of database, messaging, search, and analytical platforms using cloud-native methodologies and operational best practices.

• Leverage automation, Infrastructure as Code, GitOps, and CI/CD to ensure backing services are repeatable, reliable, and easier to manage.

• Collaborate with teams in Product Engineering, SRE, Security, Data Engineering, and Cloud Platform to enhance reliability, performance, availability, and security posture.

⛳️ Requirements

• 4-7 years of experience in Platform Engineering, SRE, Database Reliability Engineering, Data Platform Engineering, DevOps, or similar roles.

• Extensive hands-on experience with MySQL, PostgreSQL, Kafka, and at least one of MongoDB or Elasticsearch/OpenSearch in production settings.

• Familiarity with analytical or distributed data platforms such as StarRocks, ClickHouse, Apache Doris, Druid, Pinot, or comparable OLAP systems is highly preferred.

• Practical experience managing stateful workloads in Kubernetes-based environments.

• Solid understanding of high availability, replication, backup and recovery, disaster recovery, capacity planning, and performance tuning principles.

• Knowledge of distributed systems concepts including sharding, replication, partitioning, consistency, compaction, backpressure, consumer lag, and query optimization.

• Experience with at least one major cloud service provider (AWS, GCP, or OCI).

• Experience in automating provisioning, deployment, configuration, monitoring, and lifecycle management using tools such as Terraform, Helm, Ansible, GitOps, or similar automation frameworks.

• Strong scripting or programming abilities in Python, Bash, Go, or similar languages.

• Experience with observability platforms such as LTGM, Prometheus/Grafana, ELK/OpenSearch, Datadog, or equivalent solutions.

• Excellent troubleshooting, problem-solving, and debugging skills within distributed systems.

• Outstanding communication, collaboration, and documentation capabilities.

• Demonstrated curiosity, ownership mentality, adaptability, and the capacity to guide product engineering teams.

🏝️ Benefits

• Be part of an exhilarating phase for the Middle East, joining a rapidly growing company in an exciting industry.

• Enjoy significant responsibility and trust; we believe optimal results arise when individuals are given the freedom to execute their best judgment.

• Essential needs will be addressed: competitive salary, premium health insurance, and a supportive culture allowing you to concentrate on your strengths.

• Experience a vibrant and dynamic work environment alongside some of the brightest minds in AI.

• We value diversity, welcoming everyone for who they are and empowering them to become the best version of themselves.