Site Reliability Engineer - Lucidya

About Lucidya

Lucidya is an AI-native platform for customer experience (CX) intelligence that manages entire customer lifecycles autonomously, from initial engagement through retention and growth.

Unlike platforms that only surface insights and leave the action to you, Lucidya closes the loop with proprietary NLU technology built in-house and trained on millions of multilingual conversations. This enables marketing, support, CX, and research teams to deliver personalized experiences that drive measurable improvements in customer satisfaction, retention, and lifetime value.

As we continue scaling globally, the reliability, performance, and resilience of our infrastructure become mission-critical to everything we do.

Why this role matters

At Lucidya , our platform processes massive volumes of real-time customer data. Any downtime, latency, or instability directly impacts our customers’ ability to make decisions and serve their own users.

This role exists to make sure that doesn’t happen.

As a Site Reliability Engineer, you’ll sit at the heart of our platform’s stability, owning the reliability of our cloud infrastructure and ensuring it scales seamlessly as we grow. You won’t just react to issues; you’ll anticipate them, design systems that prevent them, and build automation that removes them entirely.

If you enjoy solving complex infrastructure challenges, eliminating inefficiencies, and building systems that “just work” - this is where you’ll thrive.

What You’ll Do

You’ll be responsible for outcomes, not just tasks. Here’s what success looks like in this role:

You’ll make reliability the default

• You’ll design and maintain infrastructure that is highly available, fault-tolerant, and scalable
• You’ll proactively identify and eliminate single points of failure before they become incidents
• You’ll ensure our production systems remain stable, even under increasing scale and load

You’ll own and optimize our cloud environments

• You’ll manage and continuously improve workloads across AWS, GCP, or Azure
• You’ll use Infrastructure as Code (Terraform) to standardize and scale infrastructure
• You’ll optimize resource usage to balance performance and cost

You’ll run and improve Kubernetes in production

• You’ll operate and scale Kubernetes clusters (EKS, GKE, etc.) with confidence
• You’ll troubleshoot issues quickly and ensure smooth deployments and upgrades
• You’ll ensure our containerized workloads perform reliably at scale

You’ll build strong observability and respond to incidents

• You’ll implement and refine monitoring systems using tools like Prometheus, Grafana, Datadog, or ELK
• You’ll define alerting that is meaningful, not noisy
• You’ll respond to incide