Site Reliability Engineer

🕒 March 31

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Lucidya | لوسيديا

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 $6M Series B on 2022-01

Artificial Intelligence • B2B • SaaS

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.

📋 Description

• 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 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 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 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 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 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 • 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 • 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 • 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)