Site Reliability Engineer

About
At the company, our platform processes massive volumes of real-time customer data. Any downtime, latency, or instability directly impacts our customers’ ability to make decisions and serve their own users. This role exists to make sure that doesn’t happen. As a Site Reliability Engineer, you’ll sit at the heart of our platform’s stability, owning the reliability of our cloud infrastructure and ensuring it scales seamlessly as we grow. You won’t just react to issues; you’ll anticipate them, design systems that prevent them, and build automation that removes them entirely. If you enjoy solving complex infrastructure challenges, eliminating inefficiencies, and building systems that “just work” - this is where you’ll thrive.

What You’ll Do
You’ll be responsible for outcomes, not just tasks. Here’s what success looks like in this role:

• You’ll make reliability the default

  • You’ll design and maintain infrastructure that is highly available, fault-tolerant, and scalable
  • You’ll proactively identify and eliminate single points of failure before they become incidents
  • You’ll ensure our production systems remain stable, even under increasing scale and load

• You’ll own and optimize our cloud environments

  • You’ll manage and continuously improve workloads across AWS, GCP, or Azure
  • You’ll use Infrastructure as Code (Terraform) to standardize and scale infrastructure
  • You’ll optimize resource usage to balance performance and cost

• You’ll run and improve Kubernetes in production

  • You’ll operate and scale Kubernetes clusters (EKS, GKE, etc.) with confidence
  • You’ll troubleshoot issues quickly and ensure smooth deployments and upgrades
  • You’ll ensure our containerized workloads perform reliably at scale

• You’ll build strong observability and respond to incidents

  • You’ll implement and refine monitoring systems using tools like Prometheus, Grafana, Datadog, or ELK
  • You’ll define alerting that is meaningful, not noisy
  • You’ll respond to incidents, lead root cause analysis, and ensure we learn from every failure

• You’ll automate everything that shouldn’t be manual

  • You’ll write scripts and build tooling to eliminate repetitive operational work
  • You’ll continuously improve infrastructure efficiency through automation
  • You’ll promote a culture where manual work is a temporary state, not the norm

• You’ll collaborate to improve the entire system

  • You’ll work closely with DevOps and engineering teams to solve performance bottlenecks
  • You’ll contribute to CI/CD improvements and deployment reliability
  • You’ll help shape reliability best practices across the organization

Requirements

• You’ve spent ~3 years working in SRE, DevOps, or infrastructure engineering, and you’ve seen what breaks at scale
• You’re comfortable working in cloud environments like AWS, GCP, or Azure—and you understand how distributed systems behave
• You’ve worked hands-on with Kubernetes in production and know how to troubleshoot it when things go wrong
• You don’t just fix issues - you ask why they happened and make sure they don’t happen again

Technically, you likely:

• Use Terraform (or similar IaC tools) to manage infrastructure
• Work confidently with Docker and Kubernetes
• Write scripts in Python, Bash, or similar to automate workflows
• Understand CI/CD pipelines (Jenkins, GitHub Actions, Bitbucket, etc.)
• Have a solid grasp of networking, load balancing, and high-availability design

When it comes to monitoring:

• You’ve implemented tools like Prometheus, Grafana, Datadog, or ELK
• You know the difference between useful alerts and noise
• You focus on signals that actually drive action

What sets you apart:

• You take ownership - you don’t wait to be told something is broken
• You’re calm under pressure and methodical during incidents
• You simplify complexity instead of adding to it
• You communicate clearly, even when explaining deeply technical issues
• You care about building systems that make other engineers more effective

Nice to Have (but not required)

• Experience with RabbitMQ or Redis in production
• Familiarity with Ansible or AWX
• Exposure to multi-cloud or hybrid environments
• Cloud certifications (AWS, GCP) or Linux certifications
• Background from ITI (Information Technology Institute)

Hiring Process

• Screening Interview – Talent Acquisition
• Technical Interview – SRE Lead
• Technical Task
• Final Interview – SRE Lead & Cloud DevOps Director

Location
Riyadh, Saudi Arabia