Site Reliability Engineer

About Lucidya

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

Lucidya is an AI-native platform for customer experience (CX) intelligence that manages entire customer life cycles 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.

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.

• 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 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 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 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 incidents, lead root cause analysis, and ensure we learn from every failure

• You'll write scripts and build tooling to eliminate repetitive operational work
• You'll continuously improve infrastructure efficiency through automation
• You'll promote a culture where manual work is a temporary state, not the norm

• You'll work closely with Dev Ops and engineering teams to solve performance bottlenecks
• You'll contribute to CI/CD improvements and deployment reliability
• You'll help shape reliability best practices across the organization

• You've built a strong understanding of our infrastructure, systems, and workflows
• You're contributing to day-to-day operations with support from the team
• You've started identifying areas for improvement in automation and reliability

• You're independently managing infrastructure tasks and troubleshooting issues
• You're…