DevOps/Cloud Engineer - Google Kubernetes Engine (6-9 yrs)

Responsibilities :

- Design, deploy, and manage infrastructure using Google Cloud Platform (GCP) services, including Compute Engine, Cloud Storage, IAM, and VPC networking.

- Manage and optimize Google Kubernetes Engine (GKE) clusters for containerized workloads, including autoscaling, monitoring, and security configurations.

- Build and maintain robust CI/CD pipelines using tools such as Cloud Build, GitHub Actions, or Jenkins, enabling automated testing, deployment, and rollback strategies.

- Integrate security and compliance checks into the deployment lifecycle (DevSecOps).

- Orchestrate and automate data workflows using GCP Composer (Apache Airflow).

- Support GCP Dataflow pipelines for real-time and batch data processing.

- Integrate with BigQuery for data warehousing and analytics use cases.

- Configure and maintain Apache Kafka clusters for high-throughput, low-latency event streaming.

- Monitor Kafka performance and ensure message reliability and fault tolerance.

- Develop and deploy Cloud Functions for event-driven automation and microservices.

- Manage Cloud Storage buckets, lifecycle policies, and access controls for secure and efficient data storage.

- Implement observability solutions using Cloud Monitoring, Cloud Logging, and third-party tools (e. g., Prometheus, Grafana).

- Participate in on-call rotations, incident response, and post-mortem analysis to improve system reliability.

- 5-7 years of hands-on experience in a DevOps/Cloud Engineer role.

- Strong experience with Google Cloud Platform (GCP) services and architecture.

- Google Kubernetes Engine (GKE) and container orchestration.

- CI/CD tools such as GitHub Actions, Cloud Build, or Jenkins.

- GCP Composer (Apache Airflow) for workflow orchestration.

- GCP Dataflow and BigQuery for data processing and analytics.

- Cloud Functions and Cloud Storage management.

- Proficiency in scripting languages such as Python, Bash.

- Knowledge of DevOps practices and integrating security into CI/CD pipelines.

- Experience with monitoring and alerting tools like Prometheus, Grafana.

- Familiarity with data governance ( ex, data differentiation and security), cost optimization (ex., IAM integrations), and compliance (ex., VPCSC security perimeter) in cloud environments.

- Exposure to hybrid cloud like GCP, Azure.

- Experience with Infrastructure-as-Code (IaC) tools like Terraform, Bicep, or Pulumi.