Principal Cloud SRE Engineer

Principal Cloud SRE Engineer

Location: Casablanca Morocco (onsite work mode)

Job Summary:

As a Principal Cloud Engineer (SRE) you will play a key role in ensuring the reliability performance and scalability of modern cloud-based data platforms. This position involves close collaboration with development operations and security teams to automate processes monitor system health and maintain optimal uptime for critical production workloads. You will leverage your technical expertise to design automate and maintain large-scale data pipelines and lakehouse infrastructure supporting mission-critical data engineering and analytics initiatives.

Key Responsibilities:

• Design implement and maintain scalable secure cloud infrastructure for large data platforms (data lakes data warehouses and lakehouse solutions) on OCI AWS Azure or GCP.
• Collaborate with Data Engineering teams to build robust automated ETL/ELT pipelines using tools such as Apache Spark Databricks Kafka or Oracle Cloud Data Integration.
• Implement site reliability engineering best practices tailored for data systems: SLO/SLI definition error budgeting automated monitoring data integrity validation and incident response for data workloads.
• Design and optimize data storage solutions leveraging both structured and unstructured storage (object storage data lake/lakehouse platforms like Delta Lake Iceberg etc.).
• Automate infrastructure provisioning and CI/CD deployments for data pipelines and analytic workloads with tools like Terraform Ansible or CloudFormation.
• Instrument and monitor data platform components for performance availability resource consumption and data quality using observability tools (e.g. Grafana Splunk).
• Troubleshoot and resolve complex data pipeline or infrastructure issues conducting root cause analyses and post-incident reviews.
• Advocate for and implement security governance and compliance best practicesincluding data privacy encryption and access controls.
• Mentor junior team members and promote knowledge sharing around data platform reliability.

Qualifications:

• Bachelors or Masters in Computer Science Engineering Data Science or related field or equivalent experience.
• 6 years experience in cloud engineering SRE or DevOps roles with at least 4 years supporting data engineering initiatives.
• Practical experience designing and operating large-scale cloud-based data platforms (data lakes warehouses or lakehouses).
• Strong hands-on skills with infrastructure-as-code (e.g. Terraform) automation (Python/Scala) and containerization (Kubernetes Docker).
• Familiarity with data processing frameworks (Apache Spark Databricks Hadoop) as well as orchestration tools (Airflow Oozie or similar).
• Working knowledge of distributed storage data formats (Parquet Avro) and modern analytics platforms.
• Solid understanding of networking cloud security and regulatory compliance for data platforms.
• Strong analytical troubleshooting and communication skills.
• Preferred certifications: Cloud Architect/Engineer (OCI AWS Azure GCP) Databricks or relevant data engineering credentials.

As a member of the software engineering division you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for defining and developing software for tasks associated with the developing designing and debugging of software applications or operating systems.

Career Level - IC4