Site Reliability Engineer

We are looking for a Site Reliability Engineer (SRE) to join Lucidya Cloud Engineering team and contribute to improving the reliability, scalability, and automation of our cloud-based infrastructure. The ideal candidate will have hands-on experience with cloud environments, containerized workloads, automation tools, and monitoring systems, as well as a proactive mindset for enhancing system availability and performance.

1. Infrastructure Reliability

• Ensure high availability (HA) and scalability of critical infrastructure components (e.g., Redis, RabbitMQ, Kubernetes clusters).
• Proactively identify and eliminate single points of failure across the cloud environment.
• Linux Systems Administration: Handle infrastructure management tasks such as patching, performance tuning, and monitoring of Linux-based systems.

• Manage and optimize cloud-based workloads across AWS, GCP, or Azure.
• Automate provisioning, scaling, and maintenance tasks using Infrastructure as Code (IaC) tools such as Terraform, AWS CloudFormation, or similar.

• Manage the day-to-day operations of Kubernetes clusters, including deployment, scaling, upgrades, and troubleshooting.

• Implement and standardize monitoring solutions using tools like Datadog, Prometheus, or Grafana to track golden metrics and improve alerting systems.
• Participate in on-call rotations, troubleshoot incidents, and drive post-incident reviews to implement lasting solutions.

• Develop and maintain automation scripts for routine operational tasks to reduce manual efforts and increase efficiency.
• Advocate for AWX/Ansible adoption to automate configurations and deployments.

• Work closely with DevOps and Engineering teams to identify and resolve performance bottlenecks.
• Contribute to the establishment of best practices for infrastructure and application reliability.

1. Experience and Knowledge

• ~ 3 years of experience in a similar SRE, DevOps, or Infrastructure Engineer role.
• Strong experience with at least one major cloud provider (AWS, GCP, or Azure).
• Hands-on experience with Kubernetes and containerization (e.g., Docker).

• Proficient in scripting languages such as Python, Bash, or similar for automation.
• Familiarity with Infrastructure as Code (IaC) tools like Terraform, Pulumi, or AWS CloudFormation.
• Strong understanding of load balancers, networking (IP management, subnetting), and HA architecture.
• Experience with CI/CD tools (e.g., Bitbucket Pipelines, Jenkins, GitHub Actions).

• Experience with modern monitoring and observability tools (e.g., Datadog, ELK, Grafana).
• Ability to define and track golden metrics and establish meaningful alerting thresholds.

• Strong analytical skills and ability to resolve complex technical issues.
• Proven track record in root cause analysis and incident management.

• Excellent communication and collaboration skills to work across teams.
• Self-motivated and proactive in improving systems and processes.

Lucidya is one of the fastest growing SaaS startups in the world & the leading social media analytics tool geared towards Arabic language. By leveraging AI, Machine Learning & big data technologies, we are on a mission of helping businesses in MENA region to understand and better serve their customers using our Media & Customer Intelligence products.

With an HQ in Riyadh and offices in different countries in the world, we are funded by the most reputable investors in the region and scaling rapidly to meet the increasing demand of our products.

Come and join the startup that has been named by World Economic Forum as one the most promising startups in MENA region … be part of the history we are making.