Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Lucidya, an AI-native Customer Experience Intelligence platform, seeks a DevOps Engineer in Riyadh to scale deployments, automate pipelines, and ensure platform reliability. You will collaborate with engineering teams and own infrastructure improvements across cloud environments.
You will build robust CI/CD, manage containerized workloads with Docker and Kubernetes, implement Terraform-based provisioning, and strengthen monitoring with Grafana and Prometheus.
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
Our 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
Build maintain and improve CI CD pipelines to support reliable and efficient software delivery Deploy and manage containerized applications using Docker and Kubernetes Support cloud infrastructure management and automation using Infrastructure as Code tools such as Terraform Implement and maintain monitoring logging and alerting solutions using tools such as Grafana Automate repetitive operational tasks and support development teams with infrastructure and deployment needs Troubleshoot deployment application and infrastructure issues identifying root causes and implementing solutions Collaborate with engineers to improve system performance reliability and release processes Follow security best practices across deployment pipelines applications and infrastructure Participate in incident investigation and resolution escalating complex issues when necessary Contribute to documentation and continuous improvement of infrastructure workflows and operational processes
Deploy applications and support routine operations within Kubernetes environments Build maintain and troubleshoot CI CD pipelines for new and existing services Monitor system health investigate alerts and resolve common deployment and infrastructure issues Support developers with application deployments environment configurations and infrastructure requests Write and maintain scripts to automate repetitive operational tasks Assist with infrastructure provisioning and configuration management Collaborate with senior engineers to investigate complex incidents and improve system reliability Continuously identify opportunities to improve automation observability and operational efficiency
Reliable CI CD pipelines with fewer deployment failures and smoother releases Successful deployment and operation of containerized applications in Kubernetes Faster identification and resolution of common infrastructure and deployment issues Reduced manual operational effort through automation Improved monitoring logging and visibility into application health Effective collaboration with engineering teams and clear documentation of operational processes
0 30 Days Understand Lucidya s infrastructure architecture deployment workflows tools and operational practices Become familiar with existing cloud environments and Kubernetes deployments 30 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 engineers 60 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 needed
Experienced You have 1 3 years of hands-on experience in DevOps Cloud Infrastructure Platform Engineering or a related role Hands-On You have practical experience with CI CD pipelines Docker Kubernetes and cloud infrastructure Proactive Problem Solver You can investigate common technical issues identify root causes and implement solutions while knowing when to escalat complex problems Collaborative You work closely with developers and other engineers to support deployments and improve infrastructure reliability Curious amp Growth-Oriented You are eager to learn improve existing systems and develop your expertise in cloud infrastructure automation and observability Quality-Focused You understand the importance of reliable deployments infrastructure security monitoring and operational documentation
CI/CD: Hands-on experience building, maintaining, or improving CI/CD pipelines using tools such as GitHub Actions, GitLab CI/CD, Jenkins, or similar. Containers & Orchestration: Practical experience with Docker and working knowledge of Kubernetes, including application deployments, configurations, and troubleshooting. Infrastructure as Code: Familiarity with Terraform, CloudFormation, or similar tools for provisioning and managing infrastructure. Cloud Platforms: Hands-on experience with at least one major cloud provider, such as AWS or GCP. Scripting & Automation: Ability to write basic automation scripts using Bash or Python. Monitoring & Observability: Familiarity with monitoring, logging, and alerting tools such as Grafana, Prometheus, or similar. Configuration Management: Basic knowledge of tools such as Ansible, Puppet, or Chef. Linux & Networking: Working knowledge of Linux systems, networking fundamentals, DNS, HTTP/HTTPS, and troubleshooting connectivity issues. Version Control: Experience using Git and working with collaborative software development workflows. Nice-to-HavesExperience working in a SaaS, product-based, or AI-driven environment.Exposure to production Kubernetes environments and container orchestration.Familiarity with advanced monitoring, observability, and incident management practices.Understanding of cloud security, secrets management, and infrastructure access controls.Experience optimizing deployment workflows and improving infrastructure reliability.