Job Description & Details
The demand for cloud‑native expertise is exploding as companies shift to scalable, automated infrastructures. Mastery of GCP and Kubernetes positions you at the forefront of this transformation, making DevOps roles more strategic than ever. This Charlotte‑based DevOps Engineer role offers the chance to shape high‑impact cloud systems while advancing your career.
Job Summary
We are seeking a seasoned DevOps Engineer to design, build, and maintain scalable GCP environments and Kubernetes (GKE) workloads. You will create robust CI/CD pipelines, automate infrastructure with Terraform, and implement monitoring/logging solutions to ensure reliability and performance.
Top 3 Critical Skills Table
| Skill | Why it's critical | Mastery Level |
|---|---|---|
| Google Cloud Platform (GCP) | Core platform for all cloud services and cost‑optimized resource provisioning | Senior |
| Kubernetes / GKE | Orchestrates container workloads; essential for scaling and reliability | Senior |
| CI/CD (Jenkins, GitLab CI, GitHub Actions) | Enables rapid, repeatable deployments and reduces manual errors | Mid |
Interview Preparation
- How do you design a highly available GKE cluster across multiple zones?
What the interviewer is looking for: Understanding of multi‑zone networking, node pool design, regional load balancers, and disaster‑recovery considerations. - Explain how Terraform state is managed in a team environment.
What the interviewer is looking for: Knowledge of remote backends (e.g., GCS), state locking, versioning, and collaboration workflows. - Describe a CI/CD pipeline you built that integrates Terraform, Docker, and Kubernetes.
What the interviewer is looking for: End‑to‑end automation expertise, secret management, testing stages, and rollback strategies. - What metrics would you monitor with Prometheus and visualize in Grafana for a Kubernetes service?
What the interviewer is looking for: Insight into latency, error rates, CPU/memory usage, pod health, and custom application metrics. - How do you secure container images and runtime environments in GKE?
What the interviewer is looking for: Use of binary authorization, image scanning, least‑privilege service accounts, network policies, and pod security standards.
Resume Optimization
- Google Cloud Platform (GCP)
- Kubernetes / GKE
- Terraform
- CI/CD pipelines
- Jenkins / GitLab CI / GitHub Actions
- Docker & Containerization
- Python scripting
- Bash scripting
- Prometheus & Grafana
- ELK Stack (Elasticsearch, Logstash, Kibana)
Application Strategy
When reaching out to the recruiter, send a concise email that starts with a friendly greeting, attaches your updated resume, and clearly maps your experience to the role. Highlight your top skills—such as GCP, Kubernetes, and Terraform—mention relevant projects where you built CI/CD pipelines or automated infrastructure, and state why you’re excited about this specific opportunity.
Career Roadmap
| Current Role | Typical Experience | Core Focus | Next Position |
|---|---|---|---|
| DevOps Engineer (5‑10 yrs) | 5‑10 years in cloud & automation | GCP, GKE, IaC, monitoring | Senior DevOps Engineer (10‑15 yrs) |
| Senior DevOps Engineer | 10‑15 years, leading large‑scale projects | Architecture, team mentorship, cost optimization | DevOps Lead / Cloud Architect |
| DevOps Lead / Cloud Architect | 15+ years, strategic oversight | Enterprise cloud strategy, cross‑team governance | Director of Cloud Engineering |