DevOps Engineer

About This Role

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.

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.

Why This Role Matters 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.

What You'll Do

• 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

Requirements Who You Are

• Experienced: 3-5 years in DevOps or a related role, comfortable in cross-functional teams
• Hands-On: You've built CI/CD pipelines, managed Kubernetes environments, and automated infrastructure reliably
• Proactive Problem Solver: You spot operational risks before they escalate and fix them efficiently
• Collaborative: You work closely with developers, explaining complex concepts simply and clearly
• Curious & Growth-Oriented: You constantly seek ways to improve systems, processes, and team efficiency

Technical Skills You'll Bring:

• CI/CD pipeline expertise and automation tools
• Docker and Kubernetes orchestration experience
• Infrastructure as Code experience (Terraform, CloudFormation, or similar)
• Configuration management (Ansible, Puppet, Chef)
• Cloud platforms (AWS, GCP, or similar)
• Scripting proficiency (Python, Bash)
• Experience with monitoring, logging, and observability tools

Nice-to-Haves:

• Experience in SaaS or AI-driven environments
• Large-scale Kubernetes deployments
• Advanced observability and monitoring practices

Hiring Process

• Screening Interview - Talent Acquisition
• Technical Interview - DevOps Tech Lead
• Technical Task - TestGorilla
• Final Interview - DevOps Tech Lead & Cloud Engineering Manager