Responsibility :

- Must have 3- 5 years of experience as an SRE, DevOps Engineer, or Cloud Engineer

- Strong hands-on experience with GCP services, including :

1. Google Compute Engine

2. Google Kubernetes Engine

3. Google Cloud Functions / Google Cloud Run

4. Google Cloud Storage

5. Google BigQuery

6. Google Cloud Pub/Sub

7. Google Cloud IAM & Networking

- Experience with containerization and orchestration (Docker, Kubernetes)

- Proficiency in Infrastructure as Code tools such as Terraform, Helm, Ansible, or similar

- Strong scripting skills in at least one language (Python, Go, Bash, or Java)

- Experience building and managing CI/CD pipelines and automation frameworks

- Solid understanding of networking concepts, Linux systems, and security best practices

- Experience with monitoring and observability tools

- Strong troubleshooting and problem-solving skills

Preferred Qualifications :

- Experience working in multi-cloud environments (AWS/Azure + GCP)

- Knowledge of service mesh technologies such as Istio or Anthos

- Experience with GCP databases such as Cloud SQL, Spanner, or Firestore

- Familiarity with SLO / SLI / SLA frameworks

- Experience supporting high-traffic production environments

Mandatory Skills :

- Experience managing infrastructure on Google Cloud Platform (GCP)

- Strong hands-on expertise in Compute Engine, GKE, Cloud Functions / Cloud Run

- Experience implementing CI/CD pipelines and Infrastructure as Code (Terraform)

- Kubernetes cluster management experience

- Monitoring, logging, and alerting implementation

- Incident management, RCA, and reliability engineering practices

- Strong understanding of networking, Linux, and cloud security