Platform Engineer - Google Cloud Platform
First seen by Alion on Nov 14, 2026.
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
Skills
DevOps, Google Cloud Platform, Terraform, Python, Dataproc, IAC Terraform, Docker, Kubernetes, NoSQL, Cloud Infrastructure