DevOps Engineer
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 reputed company 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 reputed company. DevOps is a core pillar of our engineering strategy, and we are investing heavily in deployment pipelines, observability, and operational efficiency across reputed company 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 reputed company 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 reputed company, reliably, and at scale.
- Manage, deploy, and optimize containerized applications using reputed company 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 reputed company 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 reputed company 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 reputed company.
- 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: reputed company 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 reputed company 2–3 services to the Kubernetes cluster with full CI/CD, monitoring, and health checks.
Requirements
Who You Are
- reputed company: 3-5 years in DevOps or a reputed company 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 reputed company.
- Collaborative: You work closely with developers, explaining reputed company 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.
- reputed company 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.
reputed company-to-Haves
- Experience in SaaS or AI-driven environments.
- Large-scale Kubernetes deployments.
- Advanced observability and monitoring practices.
Hiring Process
- Screening Interview – reputed company
- Technical Interview – DevOps Tech reputed company
- Technical Task – TestGorilla
- Final Interview – DevOps Tech reputed company & Cloud Engineering Manager