Site Reliability Engineer

📋 Job Overview

Lucidya is an AI-native platform for customer experience (CX) intelligence that manages entire customer lifecycles autonomously, from initial engagement through retention and growth. As we continue scaling globally, the reliability, performance, and resilience of our infrastructure become mission-critical to everything we do.

🏢 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.

🎯 The Role

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.

✅ Key Responsibilities

• Design and maintain infrastructure that is highly available, fault-tolerant, and scalable
• Proactively identify and eliminate single points of failure before they become incidents
• Ensure our production systems remain stable, even under increasing scale and load
• Own and optimize our cloud environments across AWS, GCP, or Azure
• Use Infrastructure as Code (Terraform) to standardize and scale infrastructure
• Optimize resource usage to balance performance and cost
• Operate and scale Kubernetes clusters (EKS, GKE, etc.) with confidence
• Implement and refine monitoring systems using tools like Prometheus, Grafana, Datadog, or ELK
• Respond to incidents, lead root cause analysis, and ensure we learn from every failure
• Write scripts and build tooling to eliminate repetitive operational work
• Work closely with DevOps and engineering teams to solve performance bottlenecks
• Help shape reliability best practices across the organization

📌 Required Qualifications

• ~3 years working in SRE, DevOps, or infrastructure engineering
• Comfortable working in cloud environments like AWS, GCP, or Azure
• Hands-on experience with Kubernetes in production
• Experience with Terraform (or similar IaC tools)
• Confidence with Docker and Kubernetes
• Scripting skills in Python, Bash, or similar
• Understanding of CI/CD pipelines (Jenkins, GitHub Actions, Bitbucket, etc.)
• Solid grasp of networking, load balancing, and high-availability design
• Experience with monitoring tools like Prometheus, Grafana, Datadog, or ELK

⭐ Desirable Experience

• Experience with RabbitMQ or Redis in production
• Familiarity with Ansible or AWX
• Exposure to multi-cloud or hybrid environments
• Cloud certifications (AWS, GCP) or Linux certifications
• Background from ITI (Information Technology Institute)

🎁 Benefits

Competitive salary and benefits package.

🛂 Visa & Eligibility

No visa or work eligibility information provided.