Cloud Native Data Ops

Salla E-Commerce Platform

. Design, deploy, monitor, and maintain production workloads across Kubernetes (EKS/AKS/GKE) clusters.

Posted 10/13/2026full-timeMadinah • Saudi ArabiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Kubernetes management, including multi-cluster operations and advanced networking, while implementing GitOps workflows and Infrastructure-as-Code practices. Proven ability to optimize cloud environments for performance and cost, ensuring high availability and reliability of production systems.

Highest-signal resume keywords

Kubernetes ExpertiseGitOps WorkflowsInfrastructure-as-Code (Terraform)Monitoring/Observability (Prometheus, Grafana)SQL & NoSQL Database Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesTerraformSQL DatabasesNoSQL DatabasesPythonBashGitOpsCI/CDMonitoringCost Optimization

Soft Skills

Strong CommunicationTeamworkCollaboration

Tools & Technologies

ArgoCDFluxPrometheusGrafanaLokiVictoriaMetricsAWSAzureGCPMinIO

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceEngineering or Related Field

Industry Keywords

SREDevOpsInfrastructure EngineeringDisaster RecoveryIncident ManagementService MeshData Platform Components

Tech Stack

Tools & technologies

AirflowAWSAzureCloudFirewallsFluxGoogle Cloud PlatformGrafanaKafkaKubernetesMongoDBMySQLNFSNoSQLPostgresPrometheusPythonRabbitMQRedisSQLTerraformGo

About the role

Key responsibilities & impact

Design, deploy, monitor, and maintain production workloads across Kubernetes (EKS/AKS/GKE) clusters.
Build self-healing and auto-scaling systems that minimize manual intervention and ensure uptime.
Design and operate reliable SQL, NoSQL, and object-storage platforms within Kubernetes environments.
Implement backup, disaster recovery, replication, and failover strategies to meet RPO/RTO targets.
Troubleshoot and recover Kubernetes Persistent Volumes, including StorageClasses, CSI drivers, and PVC issues.
Optimize storage performance and cost through multi-tier strategies, hot/cold data separation, and S3/offloading lifecycle policies.
Secure and scale MinIO/S3-compatible object storage for high-throughput data pipelines.
Manage block storage such as EBS/io2/gp3 and shared file systems such as EFS/NFS.
Optimize networking, ingress/egress traffic, and service mesh for secure communication.
Champion GitOps and CI/CD practices using ArgoCD, Flux, and GitHub Actions.
Automate infrastructure provisioning and upgrades with Terraform, Helm, and Kubernetes Operators.
Implement progressive delivery strategies including blue/green, canary, and spot-instance rolling updates.
Own monitoring and alerting using Prometheus, Grafana, Loki, VictoriaMetrics, and OpenSearch.
Lead incident management and postmortems.
Provide visibility into system health, performance, and cost metrics.
Implement least-privilege IAM, secure service-to-service communication, and network ACLs/firewalls.
Enforce Kubernetes RBAC, secret management, and secure image supply chains.
Participate in audit readiness and compliance efforts.
Analyze and tune CPU, memory, and I/O performance under scale.
Partner with product and platform teams to right-size clusters, databases, and storage tiers.
Introduce cost-visibility dashboards for engineering leadership.

Requirements

What you’ll need

8+ years in SRE / DevOps / Infrastructure Engineering roles.
Deep Kubernetes expertise (multi-cluster, Helm chart development, advanced networking).
Strong GitOps workflows using ArgoCD/Flux.
Expertise with AWS (preferred) or Azure/GCP, plus Infrastructure-as-Code (Terraform, Pulumi, CloudFormation).
Advanced knowledge of SQL & NoSQL databases (MySQL/Aurora, PostgreSQL, MongoDB, Redis).
Scripting/automation skills in Python, Bash, or Go.
Solid background in monitoring/observability (Prometheus, Grafana, Loki, ELK/Opensearch, VictoriaMetrics).
Experience with CI/CD at scale and managing production incidents.
Experience with streaming/messaging (Kafka, RabbitMQ, or similar).
Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent work experience.
Experience managing mission-critical systems at scale (high traffic, multi-region) preferred.
Proven cost optimization in cloud/K8s environments preferred.
Familiarity with service mesh (Istio, Linkerd) or advanced networking/egress control preferred.
Experience with data platform components (Airflow, Debezium, ClickHouse, etc.) is a plus but not required.
Strong communication skills and teamwork; ability to collaborate across engineering, DevOps, security, and product teams.

Benefits

Comp & perks

Comprehensive Training & Development programs.
Performance-based Bonus incentives.
Flexible Work From Home options.