Otman El Azzouzi

• Refactoring of the Mimir monitoring system (scalable Prometheus) + Grafana → Alerting rules (Prometheus Rule Files), notifications (Alertmanager, Opsgenie)

• Development of custom probes on the internal Vision tool (Incinga2) for monitoring Data Quality pipelines → Python scripts integrated with Airflow (DAGs) for automatic alerts

• Implementation of QoS rules on the internal Quality tool

• Kubernetes deployment & automation (CDS (Build), Arsenal (Run), Bitbucket)

• Deployment, Supervision, and maintenance of platforms: DataHub (Data Catalog), Apache Superset (data visualization tool)

• Preparation for migration of analytical tools: Dremio, Tableau, Dataiku

• Automation of deployments via Terraform on internal Arsenal infrastructure (OVH)

• Optimization of log management to enhance system observability

Technical Environment: Arsenal, CDS, Bitbucket, Terraform (OTF), Calico, Python, Java.

• Migration to AWS to improve service scalability and availability in a hybrid AWS / OpenShift / Java environment

• Application performance optimization: bottleneck analysis, load/stress testing, capacity planning

• Implementation and optimization of monitoring (Datadog, Splunk, real-time system) to detect anomalies before user impact

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Automation of recurring tasks to improve operational efficiency

• Implementation of an EKS node management solution to reduce costs

• Development and testing of disaster recovery (DR) plans ensuring business continuity for critical services

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Improvement of Helm templates (rolling updates, probes, HPA)

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Data analysis and creation of Python scripts for correlation and advanced debugging

• OpenSearch deployment

• Writing technical documentation and internal training on SRE best practices

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In-depth analysis of data challenges and script creation to correlate data and resolve potential code bugs. Technical Environment: AWS, Openshift, EKS, Jenkins, Github-Actions, Github, Bitbucket, Istio, Python, Java.

• Creation of a CI/CD deployment template with Terraform and Jenkins enabling simple and homogeneous deployment of infrastructures and services (ECR, CloudFront, S3, Route53, Kubernetes, Helm, Vault, API Gateway, GCP service accounts, BigQuery, MongoDB, RDS, WIZ)

• Development of a shared Helm library (GitHub + Nexus) to simplify Kubernetes deployments

• Creation of custom Terraform modules for AWS, GCP, and MongoDB

• Implementation of Live Kernel Patching via AWS Systems Manager

• Python scripts to associate Instance Profiles with machines without roles and adjust rights of already associated instances

• Fleet server management via AWS Systems Manager

• Upgrade of EKS nodes (Auto Scaling Groups) via Ansible and Terraform

• Upgrade of EKS clusters and deployment of autoscaling via Keda

• Implementation of monitoring with Prometheus and Alertmanager

• Use of the ELK stack for log management and analysis

• Development of scripts for automatic AWS and GCP key rotation

• Deployment of Databricks via Terraform (clusters, jobs, notebooks, secrets)

• Simplification of application delivery by providing Dev teams with the necessary tools and infrastructure on sandbox, staging, and production

• Training and pair programming to upskill teams

• Implementation of CI/CD pipelines (Jenkins, Kubernetes, Helm)

• Configuration, deployment, and management of AWS and GCP cloud services

• Strengthening of AWS/GCP and Vault security

• Management of user/application rights via Vault and Terraform

• Deployment of SageMaker via Terraform

• Deployment of CodeCommit via Terraform

• Migration of applications requiring upgrades

• Creation of Terraform wrappers for AWS and GCP

• Participation in technical interviews and architectural decision-making

• Technological watch

Technical Environment: AWS, GCP , EKS, Jenkins, Github, Jenkins, Go, Python, NodeJs.