DevOps Engineer

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.

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.

• Own and improve CI/CD pipelines, ensuring software is delivered efficiently, reliably, and at scale.
• Manage, deploy, and optimize containerized applications using Docker and Kubernetes.
• Maintain and evolve cloud infrastructure with Infrastructure as Code (Terraform), ensuring high availability and scalability.
• Implement monitoring, alerting, and logging solutions (e.g., Grafana), catching issues before they affect users.
• Automate repetitive operational tasks and support development teams with infrastructure needs.
• Collaborate closely with engineers to optimize system performance, reliability, and release processes.
• Apply security best practices across deployments, pipelines, and infrastructure.

Day-to-Day You’ll:

• Operate Kubernetes clusters, manage scaling, and ensure service reliability.
• Build and enhance CI/CD pipelines for new and existing services.
• Monitor system health, troubleshoot issues, and resolve incidents efficiently.
• Support development teams with deployment processes and infrastructure requests.
• Continuously improve automation, observability, and operational efficiency.

Success Looks Like:

• Highly reliable CI/CD pipelines with minimal failures.
• Kubernetes environments that scale seamlessly under load.
• Faster incident response and proactive problem detection.
• Reduced manual operational effort thanks to automation.

First 90 Days:

• 0–30 Days: Gain deep understanding of Lucidya’s infrastructure, architecture, and workflows.
• 30–60 Days: Contribute to CI/CD pipelines, handle smaller tasks, and support issue resolution.

• 60–90 Days: Successfully onboard 2–3 services to the Kubernetes cluster with full CI/CD, monitoring, and health checks.