Senior DevOps Engineer

📋 Job Overview

Lucidya is seeking a DevOps Engineer to join our engineering team. This role is critical to ensuring 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.

🏢 About Lucidya

Lucidya 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.

🎯 The Role

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.

✅ Key Responsibilities

• 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.

📌 Required Qualifications

• Experienced: You have 5–7 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 escalate complex problems.
• Collaborative: You work closely with developers and other engineers to support deployments and improve infrastructure reliability.
• Curious & 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.

⭐ Desirable Experience

• Experience optimizing AI deployment workflows & MLOps practices.
• Experience optimizing GPU usage for AI workload.

🎁 Benefits

Competitive salary and benefits package.

🛂 Visa & Eligibility

No visa or eligibility information provided.