Experience: 5 - 8 Years

Location: Gurugram

Employment Type: Full-time

Job Overview:

We are looking for an experienced Platform Engineer with strong hands-on expertise in Google Cloud Platform (GCP), infrastructure automation, cloud configuration management, and performance optimization.

The ideal candidate should have a deep understanding of GCP services, particularly Dataproc, Dataflow, Cloud Composer (Apache Airflow), Pub/Sub, and Google Cloud Storage.

The candidate will be responsible for configuring, monitoring, troubleshooting, and optimizing cloud-based platform and data services to ensure performance, scalability, reliability, and cost efficiency.

Key Responsibilities:

- Design, configure, monitor, and optimize cloud infrastructure and platform services on Google Cloud Platform.

- Manage and optimize GCP services including Dataproc, Dataflow, Cloud Composer, Pub/Sub, and Google Cloud Storage.

- Analyze GCP service configurations and understand their impact on performance, scalability, reliability, and resource utilization.

- Monitor cloud infrastructure and identify performance bottlenecks related to CPU, memory, storage, networking, throughput, and latency.

- Implement monitoring, logging, alerting, and performance-tracking mechanisms.

- Troubleshoot production incidents, investigate root causes, and implement preventive measures.

- Automate infrastructure provisioning and operational activities using Python scripting.

- Develop automation scripts and utilities for monitoring, reporting, troubleshooting, and configuration management.

- Implement and maintain Infrastructure as Code (IaC) using Terraform.

- Support environment provisioning, deployment, configuration management, and infrastructure changes across development, testing, and production environments.

- Collaborate with engineering and data teams to optimize cloud infrastructure and data-processing workloads.

- Document configuration standards, operational procedures, troubleshooting guidelines, and recommended best practices.

Required Skills & Qualifications:

- 5 - 8 years of experience in Platform Engineering, Cloud Engineering, DevOps, or Infrastructure Engineering.

- Strong hands-on experience with Google Cloud Platform (GCP).

- Practical experience with the following GCP services:

1. Google Cloud Dataproc

2. Google Cloud Dataflow

3. Cloud Composer / Apache Airflow

4. Google Cloud Pub/Sub

5. Google Cloud Storage (GCS)

- Strong understanding of GCP service configurations and their impact on application and platform performance.

- Experience with Terraform and Infrastructure as Code (IaC).

- Strong Python scripting skills for automation and operational tasks.

- Experience with cloud monitoring, logging, alerting, and performance optimization.

- Understanding of cloud infrastructure components, resource utilization, networking, and scalability.

- Experience in production troubleshooting and root cause analysis.

- Ability to work with engineering and data teams to improve platform reliability and operational efficiency.

Good to Have:

- Knowledge of relational and NoSQL databases.

- Experience with data-processing and distributed computing platforms.

- Familiarity with CI/CD pipelines and deployment automation.

- Understanding of cloud cost optimization and resource management.

- Relevant Google Cloud certifications.

Ideal Candidate Profile:

- Strong analytical and troubleshooting capabilities.

- Ability to understand complex cloud service configurations and performance behaviour.

- Hands-on approach to infrastructure automation and operational improvements.

- Good communication, documentation, and cross-functional collaboration skills