
51 - 200 employees
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
💰 $6M Series B on 2022-01
Consulting • Marketing • Artificial Intelligence
Lucidya is a company specializing in social media and online platform analytics. They provide tools and insights that help businesses understand customer sentiment, track brand reputation, and make data-driven decisions. Lucidya's solutions are tailored for engaging with the Arabic-speaking market, leveraging AI technology to process and analyze data for optimal marketing strategies.
🕒 March 31
🇸🇦 Saudi Arabia – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
👻 Ghost score 40%
Ansible
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Grafana
Jenkins
Kubernetes
Linux
Prometheus
Python
RabbitMQ
Redis
Terraform
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51 - 200 employees
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
💰 $6M Series B on 2022-01
Consulting • Marketing • Artificial Intelligence
Lucidya is a company specializing in social media and online platform analytics. They provide tools and insights that help businesses understand customer sentiment, track brand reputation, and make data-driven decisions. Lucidya's solutions are tailored for engaging with the Arabic-speaking market, leveraging AI technology to process and analyze data for optimal marketing strategies.
• Design and maintain highly available, fault-tolerant, and scalable infrastructure • Identify and eliminate single points of failure • Ensure production systems remain stable under increasing scale and load • Manage and continuously improve workloads across AWS, GCP, or Azure • Use Terraform to standardize and scale infrastructure • Optimize resource usage for performance and cost • Operate and scale production Kubernetes clusters, including EKS and GKE • Troubleshoot Kubernetes issues and ensure smooth deployments and upgrades • Ensure containerized workloads perform reliably at scale • Implement and refine monitoring with Prometheus, Grafana, Datadog, or ELK • Define meaningful alerting • Respond to incidents, lead root cause analysis, and apply lessons learned • Write scripts and build tooling to eliminate repetitive operational work • Improve infrastructure efficiency through automation • Collaborate with DevOps and engineering teams on performance bottlenecks • Contribute to CI/CD improvements and deployment reliability • Shape reliability best practices across the organization • Build understanding of infrastructure, systems, and workflows during the first 30 days • Independently manage infrastructure tasks and troubleshooting by 90 days • Take ownership of infrastructure areas and improve reliability and scalability
• ~3 years of experience in SRE, DevOps, or infrastructure engineering • Experience working in cloud environments such as AWS, GCP, or Azure • Understanding of distributed systems • Hands-on production experience with Kubernetes • Experience troubleshooting Kubernetes issues • Experience using Terraform or similar Infrastructure as Code tools • Proficiency with Docker and Kubernetes • Scripting experience in Python, Bash, or similar • Understanding of CI/CD pipelines, including Jenkins, GitHub Actions, or Bitbucket • Understanding of networking, load balancing, and high-availability design • Experience implementing monitoring tools such as Prometheus, Grafana, Datadog, or ELK • Ability to distinguish useful alerts from noise • Ownership, calmness under pressure, methodical incident response, clear communication, and ability to simplify complexity • Experience with RabbitMQ or Redis in production is nice to have, but not required • Familiarity with Ansible or AWX is nice to have, but not required • Exposure to multi-cloud or hybrid environments is nice to have, but not required • AWS, GCP, or Linux certifications are nice to have, but not required • Background from ITI is nice to have, but not required
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