DevOps Engineer (Saudi Only)

About LucidyaLucidya is an AI-native Customer Experience Intelligence platform enabling enterprises to understand, engage, and retain customers at scale. Unlike tools that just surface insights, Lucidya completes the loop with proprietary AI capabilities, helping teams take action and improve customer experiences across marketing, support, and research.As we scale globally, building reliable, scalable, and automated infrastructure is a top priority. DevOps is a core pillar of our engineering strategy, and we are investing heavily in deployment pipelines, observability, and operational efficiency across all products.Why This Role MattersOur engineering teams deliver fast-moving, AI-driven products, and the backbone of their speed and reliability is solid infrastructure and automation. As a DevOps Engineer, you'll ensure our systems scale seamlessly, deployments happen without friction, and incidents are caught before they impact users. You'll enable our teams to move faster, focus on building features, and trust that the platform is rock-solid.You'll be part of shaping the operational culture at Lucidya, where automation, reliability, and proactive problem solving aren't just buzzwords, they're outcomes we obsess over every day.What You'll DoBuild, maintain, and improve CI/CD pipelines to support reliable and efficient software deliveryDeploy and manage containerized applications using Docker and KubernetesSupport cloud infrastructure management and automation using Infrastructure as Code tools such as TerraformImplement and maintain monitoring, logging, and alerting solutions using tools such as GrafanaAutomate repetitive operational tasks and support development teams with infrastructure and deployment needsTroubleshoot deployment, application, and infrastructure issues, identifying root causes and implementing solutionsCollaborate with engineers to improve system performance, reliability, and release processesFollow security best practices across deployment pipelines, applications, and infrastructureParticipate in incident investigation and resolution, escalating complex issues when necessaryContribute to documentation and continuous improvement of infrastructure workflows and operational processesDay-to-Day You'll:Deploy applications and support routine operations within Kubernetes environmentsBuild, maintain, and troubleshoot CI/CD pipelines for new and existing servicesMonitor system health, investigate alerts, and resolve common deployment and infrastructure issuesSupport developers with application deployments, environment configurations, and infrastructure requestsWrite and maintain scripts to automate repetitive operational tasksAssist with infrastructure provisioning and configuration managementCollaborate with senior engineers to investigate complex incidents and improve system reliabilityContinuously identify opportunities to improve automation, observability, and operational efficiencySuccess Looks Like:Reliable CI/CD pipelines with fewer deployment failures and smoother releasesSuccessful deployment and operation of containerized applications in KubernetesFaster identification and resolution of common infrastructure and deployment issuesReduced manual operational effort through automationImproved monitoring, logging, and visibility into application healthEffective collaboration with engineering teams and clear documentation of operational processesFirst 90 Days0-30 Days: Understand Lucidya's infrastructure, architecture, deployment workflows, tools, and operational practices. Become familiar with existing cloud environments and Kubernetes deployments30-60 Days: Contribute to CI/CD pipeline improvements, support routine deployments, troubleshoot common issues, and take ownership of smaller infrastructure tasks with guidance from senior engineers60-90 Days: Successfully onboard 2-3 services onto the existing Kubernetes environment, with appropriate CI/CD pipelines, monitoring, and health checks, collaborating with senior engineers where neededRequirementsWho You AreExperienced: You have 1-3 years of hands-on experience in DevOps, Cloud Infrastructure, Platform Engineering, or a related roleHands-On: You have practical experience with CI/CD pipelines, Docker, Kubernetes, and cloud infrastructureProactive Problem Solver: You can investigate common technical issues, identify root causes, and implement solutions while knowing when to escalate complex problemsCollaborative: You work closely with developers and other engineers to support deployments and improve infrastructure reliabilityCurious & Growth-Oriented: You are eager to learn, improve existing systems, and develop your expertise in cloud infrastructure, automation, and observabilityQuality-Focused: You understand the importance of reliable deployments, infrastructure security, monitoring, and operational documentationTechnical Skills You'll BringCI/CD: Hands-on experience building, maintaining, or improving CI/CD pipelines using tools such as GitHub Actions, GitLab CI/CD, Jenkins, or similarContainers & Orchestration: Practical experience with Docker and working knowledge of Kubernetes, including application deployments, configurations, and troubleshootingInfrastructure as Code: Familiarity with Terraform, CloudFormation, or similar tools for provisioning and managing infrastructureCloud Platforms: Hands-on experience with at least one major cloud provider, such as AWS or GCPScripting & Automation: Ability to write basic automation scripts using Bash or PythonMonitoring & Observability: Familiarity with monitoring, logging, and alerting tools such as Grafana, Prometheus, or similarConfiguration Management: Basic knowledge of tools such as Ansible, Puppet, or ChefLinux & Networking: Working knowledge of Linux systems, networking fundamentals, DNS, HTTP/HTTPS, and troubleshooting connectivity issuesVersion Control: Experience using Git and working with collaborative software development workflowsNice-to-HavesExperience working in a SaaS, product-based, or AI-driven environmentExposure to production Kubernetes environments and container orchestrationFamiliarity with advanced monitoring, observability, and incident management practicesUnderstanding of cloud security, secrets management, and infrastructure access controlsExperience optimizing deployment workflows and improving infrastructure reliability