DevOps Engineer

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.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 DoOwn and improve CI/CD pipelines, ensuring software is delivered efficiently, reliably, and at scaleManage, deploy, and optimize containerized applications using Docker and KubernetesMaintain and evolve cloud infrastructure with Infrastructure as Code (Terraform), ensuring high availability and scalabilityImplement monitoring, alerting, and logging solutions (e.g., Grafana), catching issues before they affect usersAutomate repetitive operational tasks and support development teams with infrastructure needsCollaborate closely with engineers to optimize system performance, reliability, and release processesApply security best practices across deployments, pipelines, and infrastructureDay‑to‑Day You’llOperate Kubernetes clusters, manage scaling, and ensure service reliabilityBuild and enhance CI/CD pipelines for new and existing servicesMonitor system health, troubleshoot issues, and resolve incidents efficientlySupport development teams with deployment processes and infrastructure requestsContinuously improve automation, observability, and operational efficiencySuccess Looks LikeHighly reliable CI/CD pipelines with minimal failuresKubernetes environments that scale seamlessly under loadFaster incident response and proactive problem detectionReduced manual operational effort thanks to automationFirst 90 Days0-30 Days: Gain deep understanding of Lucidya’s infrastructure, architecture, and workflows30-60 Days: Contribute to CI/CD pipelines, handle smaller tasks, and support issue resolution60-90 Days: Successfully onboard 2-3 services to the Kubernetes cluster with full CI/CD, monitoring, and health checksRequirements3-5 years in DevOps or a related role, comfortable in cross‑functional teamsHands‑On: Built CI/CD pipelines, managed Kubernetes environments, and automated infrastructure reliablyProactive Problem Solver: Spot operational risks before they occur and fix them efficientlyCollaborative: Work closely with developers, explaining complex concepts simply and clearlyCurious & Growth‑Oriented: Constantly seek ways to improve systems, processes, and team efficiencyTechnical Skills You’ll BringCI/CD pipeline expertise and automation toolsDocker and Kubernetes orchestration experienceInfrastructure as Code experience (Terraform, CloudFormation, or similar)Configuration management (Ansible, Puppet, Chef)Cloud platforms (AWS, GCP, or similar)Scripting proficiency (Python, Bash)Experience with monitoring, logging, and observability toolsNice‑to‑HavesExperience in SaaS or AI‑driven environmentsLarge‑scale Kubernetes deploymentsAdvanced observability and monitoring practicesHiring ProcessScreening Interview – Talent AcquisitionTechnical Interview – DevOps Tech LeadTechnical Task – TestGorillaFinal Interview – DevOps Tech Lead & Cloud Engineering Manager#J-18808-Ljbffr