SA
SallaCloud Native Data Ops
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Before you apply
LocationMadinah, Al Madinah Province, Saudi Arabia
Work modehybrid
Typefull-time
SenioritySenior
Experience8+ yrs
DepartmentTechnology
Company size501–1,000 people
PostedOct 12, 2026 · 3w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent work experience
Design, deploy, monitor, and maintain production workloads across Kubernetes (EKS/AKS/GKE) clusters
Build self-healing, auto-scaling systems that minimize manual intervention and ensure uptime
Design and operate reliable database and storage platforms (SQL, NoSQL, and object stores) within Kubernetes environments
Implement backup, disaster recovery, replication, and failover strategies to meet RPO/RTO targets
Troubleshoot and recover Kubernetes Persistent Volumes (StorageClasses, CSI drivers, PVC issues)
Optimize storage performance and cost through multi-tier strategies, hot/cold data separation, and S3/offloading lifecycle policies
Secure and scale object storage platforms (e.g., MinIO/S3-compatible) for high-throughput data pipelines
Manage block storage (EBS/io2/gp3) and shared file systems (EFS, NFS) for resilience and cost balance
Collaborate with teams to optimize networking, ingress/egress traffic, and service mesh for secure communication
Build self-healing, auto-scaling systems that minimize toil and manual intervention
Optimize networking, ingress/egress traffic control, and service mesh for secure & performant communication
Design and operate reliable database and storage platforms (SQL, NoSQL, and object stores) in Kubernetes environments
Own backup, disaster recovery, replication, and failover strategies to meet RPO/RTO targets for critical data services
Troubleshoot and recover Kubernetes Persistent Volumes confidently during incidents (StorageClasses, CSI drivers, PVC issues)
Secure and scale object storage platforms (e.g., MinIO/S3-compatible) and integrate with workloads for high-throughput data pipelines
Work with block storage (EBS/io2/gp3) and shared file systems (EFS, NFS) to balance performance, resiliency, and cost
Champion GitOps and CI/CD best practices (ArgoCD, Flux, GitHub Actions)
Build automation for infrastructure provisioning and upgrades using Terraform, Helm, and Kubernetes Operators
Reduce release risk through progressive delivery strategies (blue/green, canary, spot instance rolling updates)
Own the monitoring and alerting stack (Prometheus, Grafana, Loki, VictoriaMetrics, OpenSearch)
Lead incident management and postmortems to prevent recurrence
Provide real-time visibility into system health, performance, and cost metrics
Implement least-privilege IAM policies, secure service-to-service communication, and network ACLs/firewalls
Enforce Kubernetes RBAC, secret management, and secure image supply chain
Participate in audit readiness and compliance efforts
Analyze and tune system performance under scale (CPU/memory/IO)
Partner with product and platform teams to right-size clusters, databases, and storage tiers
Introduce cost visibility dashboards for engineering leadership
Strong communication skills and teamworker — able to collaborate across engineering, DevOps, security, and product teams
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)
Experience managing mission-critical systems at scale (high traffic, multi-region)
Proven cost optimization in cloud/K8s environments
Familiarity with service mesh (Istio, Linkerd) or advanced networking/egress control
Experience with data platform components (Airflow, Debezium, ClickHouse, etc.) is a plus but not required
Skills
Kubernetes
EKS
AKS
GKE
SQL
NoSQL
MinIO
S3
EBS
EFS
NFS
ArgoCD
Flux
GitHub Actions
Terraform
Helm
Kubernetes Operators
Prometheus
Grafana
Loki
VictoriaMetrics
OpenSearch
IAM
Kubernetes RBAC
Istio
Linkerd
Airflow
Debezium
ClickHouse
AWS
Azure
GCP
Pulumi
CloudFormation
MySQL
Aurora
PostgreSQL
MongoDB
Redis
Python
Bash
Go
ELK
Kafka
RabbitMQ
Benefits
Training
Performance based bonus
Flexible work from home
About the role
We are looking for a Senior Site Reliability Engineer (SRE) to help design, scale, and secure our rapidly growing platform infrastructure.
You will work across all critical systems — from customer-facing applications and APIs to internal platforms and data services — ensuring availability, performance, and cost efficiency at scale.
You’ll be hands-on with Kubernetes, observability, GitOps, automation, and cloud infrastructure, while partnering closely with application, platform, and data teams to deliver a highly reliable and self-healing environment.
This role is ideal for an engineer who thrives on complex distributed systems, loves to automate everything, and can balance speed, stability, and cost-efficiency in production.
Responsibilities
•
Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent work experience.
•
Design, deploy, monitor, and maintain production workloads across Kubernetes (EKS/AKS/GKE) clusters.
•
Build self-healing, auto-scaling systems that minimize manual intervention and ensure uptime.
•
Design and operate reliable database and storage platforms (SQL, NoSQL, and object stores) within Kubernetes environments.
•
Implement backup, disaster recovery, replication, and failover strategies to meet RPO/RTO targets.
•
Troubleshoot and recover Kubernetes Persistent Volumes (StorageClasses, CSI drivers, PVC issues).
•
Optimize storage performance and cost through multi-tier strategies, hot/cold data separation, and S3/offloading lifecycle policies.
•
Secure and scale object storage platforms (e.g., MinIO/S3-compatible) for high-throughput data pipelines.
•
Manage block storage (EBS/io2/gp3) and shared file systems (EFS, NFS) for resilience and cost balance.
•
Collaborate with teams to optimize networking, ingress/egress traffic, and service mesh for secure communication.
Platform & Infrastructure Reliability
•
Design, deploy, monitor, and maintain production workloads across Kubernetes (EKS/AKS/GKE) clusters.
•
Build self-healing, auto-scaling systems that minimize toil and manual intervention.
•
Optimize networking, ingress/egress traffic control, and service mesh for secure & performant communication.
•
Design and operate reliable database and storage platforms (SQL, NoSQL, and object stores) in Kubernetes environments.
•
Own backup, disaster recovery, replication, and failover strategies to meet RPO/RTO targets for critical data services.
•
Optimize storage performance and cost through multi-tier strategies, hot/cold data separation, and S3/offloading lifecycle policies.
•
Troubleshoot and recover Kubernetes Persistent Volumes confidently during incidents (StorageClasses, CSI drivers, PVC issues).
•
Secure and scale object storage platforms (e.g., MinIO/S3-compatible) and integrate with workloads for high-throughput data pipelines.
•
Work with block storage (EBS/io2/gp3) and shared file systems (EFS, NFS) to balance performance, resiliency, and cost.
Automation & Delivery
•
Champion GitOps and CI/CD best practices (ArgoCD, Flux, GitHub Actions).
Build automation for infrastructure provisioning and upgrades using Terraform, Helm, and Kubernetes Operators.
•
Reduce release risk through progressive delivery strategies (blue/green, canary, spot instance rolling updates).
Observability & Incident Response
•
Own the monitoring and alerting stack (Prometheus, Grafana, Loki, VictoriaMetrics, OpenSearch).
•
Lead incident management and postmortems to prevent recurrence.
•
Provide real-time visibility into system health, performance, and cost metrics.
Security & Compliance
•
Implement least-privilege IAM policies, secure service-to-service communication, and network ACLs/firewalls.
•
Enforce Kubernetes RBAC, secret management, and secure image supply chain.
•
Participate in audit readiness and compliance efforts.
Performance & Cost Optimization
•
Analyze and tune system performance under scale (CPU/memory/IO).
•
Partner with product and platform teams to right-size clusters, databases, and storage tiers.
Introduce cost visibility dashboards for engineering leadership.
Preferred Qualifications
•
Experience managing mission-critical systems at scale (high traffic, multi-region).
•
Proven cost optimization in cloud/K8s environments.
•
Familiarity with service mesh (Istio, Linkerd) or advanced networking/egress control.
•
Experience with data platform components (Airflow, Debezium, ClickHouse, etc.) is a plus but not required.
Strong communication skills and teamworker — able to collaborate across engineering, DevOps, security, and product teams.
Requirements
•
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).
Benefits
•
Comprehensive Training & Development programs.
•
Performance-based Bonus incentives.
•
Flexible Work From Home options.