About This Role
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.
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.
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